MCP server intelligence profile

Gemini Enterprise MCP Server

Connects AI coding assistants to Google Cloud Discovery Engine APIs for semantic search, conversational RAG, and administration of datastores, documents, and configurations

Local Onlymiticojo
Awaiting current scanNpm · 0.3.1

The selected current version does not yet have completed public verification. Unknown does not mean clean or vulnerable.

1Distribution channel
19Independently observed tools
0Linked remote endpoints
AvailableVersion intelligence

Detailed security scan evidence is not public for this MCP yet. Public identity, registry metadata, and independently observed protocol inventory remain available.

Install and connect

Installation and connection instructions are shown only when supported by retained package, repository, or endpoint evidence.

Install ge-app-mcp from npm

Version 0.3.1 declares 1 executable entrypoint.

npm install --save-exact ge-app-mcp@0.3.1
npx -y -p ge-app-mcp@0.3.1 ge-app-mcp
MCP client configuration example
{
  "mcpServers": {
    "ge-app-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "-p",
        "ge-app-mcp@0.3.1",
        "ge-app-mcp"
      ]
    }
  }
}

Identity

Canonical sluggemini-enterprise-mcp-server-5f7d2314DeploymentLocal Only
Canonical packagenpm:ge-app-mcpRepositorymiticojo/ge-app-mcp
First publishedLatest release
Last security verificationClassification confidence90%
PublicationDraftOfficial distributionNot verified

Distributions

ChannelIdentifierCurrent versionVersionsSource
npmge-app-mcp0.3.11Repository

Current release

PackageVersionPublished / observedInventorySecurity scan
npmge-app-mcp0.3.1CurrentSep 5, 202619 toolsSucceeded · 0 resources · 0 promptsEvidence restricted
Enterprise protection

Continuously monitor this MCP for security risk

Independently scan the exact version your agents use, receive alerts when its risk changes, and investigate every finding with retained version evidence.

  • Independent exact-version security scans
  • Continuous release and vulnerability monitoring
  • Risk-change alerts with capability context
  • Historical evidence and API exports
Custom pricingContact salesTailored to your organization, integrations, data needs, and support requirements.

Current version evidence

No public current-version evidence is available yet.

Current protocol inventory

2025-06-18Negotiated protocol
gemini-enterprise-serverServer-reported name
1Capability groups
Aug 22, 2026Observed

Tools 19

ToolCategoryAnnotationsRisk
gemini_enterprise_askAsk a conversational question to get a generated answer from the target Datastore (RAG / Conversational Search).
Input schema
{
  "type": "object",
  "properties": {
    "question": {
      "type": "string",
      "description": "The question to ask."
    },
    "datastore_id": {
      "type": "string",
      "description": "The ID of the target Vertex AI datastore."
    }
  },
  "required": [
    "question",
    "datastore_id"
  ]
}
gemini_enterprise_configure_connectorConfigure third-party data connectors (such as Jira, Salesforce, Confluence) for a DataStore.
Input schema
{
  "type": "object",
  "properties": {
    "datastore_id": {
      "type": "string",
      "description": "The ID of the target DataStore."
    },
    "connector_type": {
      "type": "string",
      "description": "The type of the third-party connector (e.g., \"jira\", \"salesforce\", \"confluence\", \"slack\")."
    },
    "config_payload": {
      "type": "object",
      "description": "The credential and connection configuration payload for the connector."
    },
    "project_id": {
      "type": "string",
      "description": "Optional. Google Cloud Project ID."
    },
    "location": {
      "type": "string",
      "description": "Optional. Google Cloud Region."
    }
  },
  "required": [
    "datastore_id",
    "connector_type",
    "config_payload"
  ]
}
gemini_enterprise_get_documentRetrieve a specific document from a Datastore using its document ID.
Input schema
{
  "type": "object",
  "properties": {
    "document_id": {
      "type": "string",
      "description": "The unique ID of the document to retrieve."
    },
    "datastore_id": {
      "type": "string",
      "description": "The ID of the target Vertex AI datastore."
    }
  },
  "required": [
    "document_id",
    "datastore_id"
  ]
}
gemini_enterprise_manage_agentsManage native Google Cloud Discovery Engine Agents under an engine/app. Supports both custom Agent-to-Agent (A2A) and native employee-made low-code agents.
Input schema
{
  "type": "object",
  "properties": {
    "action": {
      "type": "string",
      "enum": [
        "create",
        "list",
        "delete",
        "update"
      ],
      "description": "The administrative agent action to perform: create, list, delete, or update."
    },
    "engine_id": {
      "type": "string",
      "description": "The ID of the engine (app) this agent belongs to."
    },
    "agent_id": {
      "type": "string",
      "description": "Unique ID to assign or target for the agent. Required for create, delete, and update actions."
    },
    "display_name": {
      "type": "string",
      "description": "Display name of the agent. Used for create and update."
    },
    "description": {
      "type": "string",
      "description": "A detailed description of the agent, explaining its instructions and scope."
    },
    "agent_type": {
      "type": "string",
      "enum": [
        "a2a",
        "low-code"
      ],
      "description": "Optional. The type of agent to manage: \"a2a\" for Agent-to-Agent or \"low-code\" for native employee-made designer playbooks. Defaults to \"a2a\"."
    },
    "endpoint_url": {
      "type": "string",
      "description": "The HTTPS URL endpoint where the custom A2A agent logic is hosted. Only used if agent_type is \"a2a\"."
    },
    "model": {
      "type": "string",
      "description": "The LLM model used by low-code agents (e.g., \"gemini-3.5-flash\", \"gemini-1.5-pro\")."
    },
    "instruction": {
      "type": "string",
      "description": "Natural language instructions/playbook for the low-code agent."
    },
    "datastores": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Optional. List of DataStore IDs to link to the low-code agent."
    },
    "tools": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Optional. List of native tools to enable for the low-code agent (e.g., [\"googleSearch\"])."
    },
    "subagents": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "agent_id": {
            "type": "string",
            "description": "Unique ID for the sub-agent node (e.g., \"gecx_expert\")."
          },
          "display_name": {
            "type": "string",
            "description": "Optional. Display name of the sub-agent node."
          },
          "description": {
            "type": "string",
            "description": "Optional. Brief description of this sub-agent."
          },
          "model": {
            "type": "string",
            "description": "Optional. LLM model for the sub-agent (e.g., \"gemini-3.5-flash\")."
          },
          "instruction": {
            "type": "string",
            "description": "Natural language instruction/playbook for this sub-agent."
          },
          "datastores": {
            "type": "array",
            "items": {
              "type": "string"
            },
            "description": "Optional. List of DataStore IDs to link to this sub-agent."
          },
          "tools": {
            "type": "array",
            "items": {
              "type": "string"
            },
            "description": "Optional. List of native tools to enable for this sub-agent."
          }
        },
        "required": [
          "agent_id",
          "instruction"
        ]
      },
      "description": "Optional. Nested sub-agents to register under this low-code agent."
    },
    "project_id": {
      "type": "string",
      "description": "Optional. Google Cloud Project ID."
    },
    "location": {
      "type": "string",
      "description": "Optional. Google Cloud Region (defaults to global)."
    }
  },
  "required": [
    "action",
    "engine_id"
  ]
}
gemini_enterprise_manage_appsManage Gemini Enterprise search and chat apps (engines). Supports create, list, delete, update, get, get-iam, and set-iam operations.
Input schema
{
  "type": "object",
  "properties": {
    "action": {
      "type": "string",
      "enum": [
        "create",
        "list",
        "delete",
        "update",
        "get",
        "get-iam",
        "set-iam"
      ],
      "description": "The action to perform: create, list, delete, update, get, get-iam, or set-iam."
    },
    "project_id": {
      "type": "string",
      "description": "Optional. Google Cloud Project ID (overrides default)."
    },
    "location": {
      "type": "string",
      "description": "Optional. Google Cloud Region (overrides default, e.g., \"global\" or \"us\")."
    },
    "engine_id": {
      "type": "string",
      "description": "ID of the app/engine. Required for create, delete, update, get-iam, and set-iam."
    },
    "display_name": {
      "type": "string",
      "description": "Display name of the app/engine. Required for create and update."
    },
    "solution_type": {
      "type": "string",
      "description": "Required for create. Type of engine (e.g., \"SOLUTION_TYPE_SEARCH\", \"SOLUTION_TYPE_CHAT\", \"SOLUTION_TYPE_RECOMMENDATION\")."
    },
    "policy": {
      "type": "object",
      "description": "Required for set-iam. The IAM policy object to set for the app/engine."
    }
  },
  "required": [
    "action"
  ]
}
gemini_enterprise_manage_assistantManage Gemini Enterprise Assistant configurations, system instructions, and prompt chips.
Input schema
{
  "type": "object",
  "properties": {
    "action": {
      "type": "string",
      "enum": [
        "get",
        "update",
        "update_prompt_chips",
        "update_system_instruction"
      ],
      "description": "The action to perform: get, update, update_prompt_chips, or update_system_instruction."
    },
    "project_id": {
      "type": "string",
      "description": "Optional. Google Cloud Project ID."
    },
    "location": {
      "type": "string",
      "description": "Optional. Google Cloud Region."
    },
    "engine_id": {
      "type": "string",
      "description": "ID of the app/engine. Required."
    },
    "prompt_chips": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "List of prompt chip text suggestions for the assistant UI."
    },
    "system_instruction": {
      "type": "string",
      "description": "System instruction prompt for the assistant AI model (Customize Additional LLM system instructions)."
    },
    "use_default_system_instruction": {
      "type": "boolean",
      "description": "Set to true to select \"Use default\" for Additional LLM system instructions, or false to Customize."
    },
    "enable_web_grounding": {
      "type": "boolean",
      "description": "Enable or disable web grounding (allow Gemini Enterprise to use web search results as answer sources)."
    },
    "web_grounding_type": {
      "type": "string",
      "enum": [
        "GOOGLE_SEARCH",
        "ENTERPRISE_WEB_SEARCH"
      ],
      "description": "Choose \"GOOGLE_SEARCH\" (not data residency compliant) or \"ENTERPRISE_WEB_SEARCH\" (data residency compliant)."
    },
    "default_web_search_state": {
      "type": "boolean",
      "description": "Choose whether web search is turned on or off by default for new queries."
    },
    "enable_location_context": {
      "type": "boolean",
      "description": "Allow the Gemini Enterprise app to use your location to improve response quality."
    },
    "banned_phrases": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "List of banned phrase strings."
    },
    "chat_history_retention_days": {
      "type": "number",
      "description": "Number of days to retain chat history for each new session (e.g., 30, 60, 90)."
    },
    "enable_all_assistant_features": {
      "type": "boolean",
      "description": "Convenience flag to enable web grounding, default web search, and location context at once."
    },
    "disable_all_assistant_features": {
      "type": "boolean",
      "description": "Convenience flag to disable web grounding, default web search, and location context at once."
    }
  },
  "required": [
    "action",
    "engine_id"
  ]
}
gemini_enterprise_manage_controlsManage Serving Controls (e.g. boost, filter, redirect, synonyms) for serving configs. Supports create, list, and delete.
Input schema
{
  "type": "object",
  "properties": {
    "action": {
      "type": "string",
      "enum": [
        "create",
        "list",
        "delete"
      ],
      "description": "The action to perform: create, list, or delete."
    },
    "datastore_id": {
      "type": "string",
      "description": "The ID of the DataStore."
    },
    "control_id": {
      "type": "string",
      "description": "ID of the control. Required for create and delete."
    },
    "control_type": {
      "type": "string",
      "description": "Optional. Type of control to create (e.g., \"boost\", \"filter\", \"redirect\", \"synonyms\", \"promote\")."
    },
    "project_id": {
      "type": "string",
      "description": "Optional. Google Cloud Project ID."
    },
    "location": {
      "type": "string",
      "description": "Optional. Google Cloud Region."
    }
  },
  "required": [
    "action",
    "datastore_id"
  ]
}
gemini_enterprise_manage_datastoreManage Gemini Enterprise DataStores. Supports create, list, and delete operations.
Input schema
{
  "type": "object",
  "properties": {
    "action": {
      "type": "string",
      "enum": [
        "create",
        "list",
        "delete"
      ],
      "description": "The action to perform: create, list, or delete."
    },
    "project_id": {
      "type": "string",
      "description": "Optional. Google Cloud Project ID (overrides default)."
    },
    "location": {
      "type": "string",
      "description": "Optional. Google Cloud Region (overrides default)."
    },
    "datastore_id": {
      "type": "string",
      "description": "ID of the DataStore. Required for create and delete."
    },
    "industry_vertical": {
      "type": "string",
      "description": "Optional. Industry vertical for the DataStore (e.g., \"GENERIC\", \"MEDIA\"). Defaults to \"GENERIC\"."
    }
  },
  "required": [
    "action"
  ]
}
gemini_enterprise_manage_documentsImport, delete, or purge documents within a DataStore. Supports import (from GCS or BigQuery), purge (delete all), and delete (single document).
Input schema
{
  "type": "object",
  "properties": {
    "action": {
      "type": "string",
      "enum": [
        "import",
        "purge",
        "delete"
      ],
      "description": "The action to perform: import, purge, or delete."
    },
    "datastore_id": {
      "type": "string",
      "description": "The ID of the target DataStore."
    },
    "gcs_uri": {
      "type": "string",
      "description": "Optional. Cloud Storage URI for import (e.g., \"gs://my-bucket/documents/*\"). Required for import if bq_dataset is not provided."
    },
    "bq_dataset": {
      "type": "string",
      "description": "Optional. BigQuery source table for import (e.g., \"my-project.my_dataset.my_table\"). Required for import if gcs_uri is not provided."
    },
    "document_id": {
      "type": "string",
      "description": "Optional. The specific document ID to delete. Required for delete action."
    },
    "project_id": {
      "type": "string",
      "description": "Optional. Google Cloud Project ID."
    },
    "location": {
      "type": "string",
      "description": "Optional. Google Cloud Region."
    }
  },
  "required": [
    "action",
    "datastore_id"
  ]
}
gemini_enterprise_manage_featuresManage Gemini Enterprise feature toggles (Agent Gallery, Agent Designer, Prompt Gallery, Model Selector, NotebookLM, Session Sharing, Memory). Supports get and update operations.
Input schema
{
  "type": "object",
  "properties": {
    "action": {
      "type": "string",
      "enum": [
        "get",
        "update"
      ],
      "description": "The action to perform: get or update feature management settings."
    },
    "project_id": {
      "type": "string",
      "description": "Optional. Google Cloud Project ID."
    },
    "location": {
      "type": "string",
      "description": "Optional. Google Cloud Region."
    },
    "engine_id": {
      "type": "string",
      "description": "ID of the app/engine. Required."
    },
    "enable_agent_gallery": {
      "type": "boolean",
      "description": "Enable or disable the Agent Gallery feature."
    },
    "enable_agent_designer": {
      "type": "boolean",
      "description": "Enable or disable the Agent Designer feature."
    },
    "enable_prompt_gallery": {
      "type": "boolean",
      "description": "Enable or disable the Prompt Gallery feature."
    },
    "enable_model_selector": {
      "type": "boolean",
      "description": "Enable or disable the Model Selector feature."
    },
    "enable_notebook_lm": {
      "type": "boolean",
      "description": "Enable or disable NotebookLM integration."
    },
    "enable_session_sharing": {
      "type": "boolean",
      "description": "Enable or disable Session Sharing."
    },
    "enable_memory": {
      "type": "boolean",
      "description": "Enable or disable long-term Memory & Personalization."
    },
    "enable_canvas": {
      "type": "boolean",
      "description": "Enable or disable the Canvas feature."
    },
    "enable_skills": {
      "type": "boolean",
      "description": "Enable or disable Skills feature."
    },
    "enable_image_generation": {
      "type": "boolean",
      "description": "Enable or disable Image Generation."
    },
    "enable_video_generation": {
      "type": "boolean",
      "description": "Enable or disable Video Generation."
    },
    "enable_agent_sharing": {
      "type": "boolean",
      "description": "Enable or disable Agent Sharing."
    },
    "enable_agent_sharing_without_approval": {
      "type": "boolean",
      "description": "Enable Agent Sharing without Admin Approval."
    },
    "enable_end_user_sharing_with_groups": {
      "type": "boolean",
      "description": "Enable End-user Sharing with Groups."
    },
    "enable_google_drive_upload": {
      "type": "boolean",
      "description": "Enable or disable Google Drive Upload."
    },
    "enable_onedrive_upload": {
      "type": "boolean",
      "description": "Enable or disable OneDrive Upload."
    },
    "enable_talk_to_content": {
      "type": "boolean",
      "description": "Enable or disable Talk to Content."
    },
    "enable_suggested_highlights": {
      "type": "boolean",
      "description": "Enable or disable Suggested Highlights."
    },
    "enable_people_search_org_chart": {
      "type": "boolean",
      "description": "Enable or disable People Search & Org Chart."
    },
    "enable_welcome_emails": {
      "type": "boolean",
      "description": "Enable or disable Welcome Emails."
    },
    "enable_projects": {
      "type": "boolean",
      "description": "Enable or disable Projects."
    },
    "enable_mobile_app_access": {
      "type": "boolean",
      "description": "Enable or disable Mobile App Access."
    },
    "enable_multi_agent_orchestration": {
      "type": "boolean",
      "description": "Enable or disable Multi-Agent Orchestration."
    },
    "enable_single_agent_orchestration": {
      "type": "boolean",
      "description": "Enable or disable Single-Agent Orchestration."
    },
    "enable_bi_directional_audio": {
      "type": "boolean",
      "description": "Enable or disable Bi-directional Audio."
    },
    "enable_cross_product_intelligence": {
      "type": "boolean",
      "description": "Enable or disable Cross-product Intelligence."
    },
    "enable_cross_domain_documents": {
      "type": "boolean",
      "description": "Enable or disable Include cross-domain documents."
    },
    "enable_all_features": {
      "type": "boolean",
      "description": "Convenience flag to enable all 27 feature flags at once."
    },
    "disable_all_features": {
      "type": "boolean",
      "description": "Convenience flag to disable all 27 feature flags at once."
    }
  },
  "required": [
    "action",
    "engine_id"
  ]
}
gemini_enterprise_manage_knowledge_graphManage Google Cloud Knowledge Graph and Private Knowledge Graph configurations for Gemini Enterprise applications.
Input schema
{
  "type": "object",
  "properties": {
    "action": {
      "type": "string",
      "enum": [
        "get",
        "update"
      ],
      "description": "The action to perform: get or update Knowledge Graph settings."
    },
    "project_id": {
      "type": "string",
      "description": "Optional. Google Cloud Project ID."
    },
    "location": {
      "type": "string",
      "description": "Optional. Google Cloud Region."
    },
    "engine_id": {
      "type": "string",
      "description": "ID of the app/engine. Required."
    },
    "enable_google_cloud_knowledge_graph": {
      "type": "boolean",
      "description": "Enable or disable Google Cloud Knowledge Graph (public data from Google's Knowledge Graph)."
    },
    "enable_private_knowledge_graph": {
      "type": "boolean",
      "description": "Enable or disable private Knowledge Graph (using data in your connected data stores)."
    },
    "enable_all_knowledge_graphs": {
      "type": "boolean",
      "description": "Convenience flag to enable both Google Cloud and Private Knowledge Graph at once."
    },
    "disable_all_knowledge_graphs": {
      "type": "boolean",
      "description": "Convenience flag to disable both Google Cloud and Private Knowledge Graph at once."
    }
  },
  "required": [
    "action",
    "engine_id"
  ]
}
gemini_enterprise_manage_licensesManage Gemini Enterprise / Gemini Code Assist license pools and user seat assignments. Supports assign, unassign, and list operations.
Input schema
{
  "type": "object",
  "properties": {
    "action": {
      "type": "string",
      "enum": [
        "assign",
        "unassign",
        "list"
      ],
      "description": "The licensing action to perform: assign, unassign, or list."
    },
    "usernames": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "List of user email addresses to assign or unassign licenses."
    },
    "billing_account_id": {
      "type": "string",
      "description": "Optional. Google Cloud Billing Account ID where the license pool is located."
    },
    "project_id": {
      "type": "string",
      "description": "Optional. Google Cloud Project ID."
    },
    "subscription_id": {
      "type": "string",
      "description": "Optional. Specific Gemini subscription configuration ID (e.g. \"internal_gemini_ent_plus\" or \"b713d72f-68ec-401c-ae6a-4edff2a906d0\") to use for assignment."
    }
  },
  "required": [
    "action"
  ]
}
gemini_enterprise_manage_modelsManage Gemini Enterprise Model Availability toggles (e.g. Gemini 2.5 pro, Gemini 3.1 Pro, Gemini 3.5 Flash, Gemini 3.6 Flash).
Input schema
{
  "type": "object",
  "properties": {
    "action": {
      "type": "string",
      "enum": [
        "get",
        "update"
      ],
      "description": "The action to perform: get or update."
    },
    "engine_id": {
      "type": "string",
      "description": "The target App / Engine ID (e.g., \"tes\" or \"assistente-bandi-e-appalti\")."
    },
    "enable_gemini_2_5_pro": {
      "type": "boolean",
      "description": "Enable or disable Gemini 2.5 pro."
    },
    "enable_gemini_3_1_pro": {
      "type": "boolean",
      "description": "Enable or disable Gemini 3.1 Pro."
    },
    "enable_gemini_3_5_flash": {
      "type": "boolean",
      "description": "Enable or disable Gemini 3.5 Flash."
    },
    "enable_gemini_3_6_flash": {
      "type": "boolean",
      "description": "Enable or disable Gemini 3.6 Flash."
    },
    "enable_all_models": {
      "type": "boolean",
      "description": "Convenience flag to enable all Gemini models at once."
    },
    "disable_all_models": {
      "type": "boolean",
      "description": "Convenience flag to disable all Gemini models at once."
    }
  },
  "required": [
    "action",
    "engine_id"
  ]
}
gemini_enterprise_manage_observabilityManage Observability, analytics tracking, and query logging configurations for Gemini Enterprise applications.
Input schema
{
  "type": "object",
  "properties": {
    "action": {
      "type": "string",
      "enum": [
        "get",
        "update"
      ],
      "description": "The action to perform: get or update observability settings."
    },
    "project_id": {
      "type": "string",
      "description": "Optional. Google Cloud Project ID."
    },
    "location": {
      "type": "string",
      "description": "Optional. Google Cloud Region."
    },
    "engine_id": {
      "type": "string",
      "description": "ID of the app/engine. Required."
    },
    "disable_analytics": {
      "type": "boolean",
      "description": "Set to true to disable analytics tracking, or false to enable."
    },
    "enable_opentelemetry": {
      "type": "boolean",
      "description": "Enable instrumentation of OpenTelemetry traces and logs."
    },
    "enable_prompt_logging": {
      "type": "boolean",
      "description": "Enable the logging of prompt inputs and response outputs."
    }
  },
  "required": [
    "action",
    "engine_id"
  ]
}
gemini_enterprise_manage_schemaManage schemas for DataStores. Supports create, get, and update operations.
Input schema
{
  "type": "object",
  "properties": {
    "action": {
      "type": "string",
      "enum": [
        "create",
        "get",
        "update"
      ],
      "description": "The action to perform: create, get, or update."
    },
    "datastore_id": {
      "type": "string",
      "description": "The ID of the DataStore."
    },
    "schema_object": {
      "type": "object",
      "description": "Optional. The JSON Schema object definition. Required for create and update."
    },
    "project_id": {
      "type": "string",
      "description": "Optional. Google Cloud Project ID."
    },
    "location": {
      "type": "string",
      "description": "Optional. Google Cloud Region."
    }
  },
  "required": [
    "action",
    "datastore_id"
  ]
}
gemini_enterprise_manage_search_uiManage Gemini Enterprise Search UI configurations, autocomplete suggestions, user feedback settings, and pinned links (shortcuts).
Input schema
{
  "type": "object",
  "properties": {
    "action": {
      "type": "string",
      "enum": [
        "get",
        "update_autocomplete",
        "update_feedback",
        "manage_pinned_link"
      ],
      "description": "The action to perform: get, update_autocomplete, update_feedback, or manage_pinned_link."
    },
    "project_id": {
      "type": "string",
      "description": "Optional. Google Cloud Project ID."
    },
    "location": {
      "type": "string",
      "description": "Optional. Google Cloud Region."
    },
    "engine_id": {
      "type": "string",
      "description": "ID of the app/engine. Required."
    },
    "enable_autocomplete": {
      "type": "boolean",
      "description": "Enable or disable autocomplete suggestions."
    },
    "enable_user_feedback": {
      "type": "boolean",
      "description": "Enable or disable user feedback rating widget."
    },
    "pinned_link": {
      "type": "object",
      "properties": {
        "title": {
          "type": "string",
          "description": "Title or link text for the shortcut link."
        },
        "uri": {
          "type": "string",
          "description": "Target URL for the shortcut link (e.g. https://www.example.com/)."
        },
        "link_id": {
          "type": "string",
          "description": "Optional unique ID for the shortcut link control."
        }
      },
      "required": [
        "title",
        "uri"
      ]
    }
  },
  "required": [
    "action",
    "engine_id"
  ]
}
gemini_enterprise_manage_skillsManage Vertex AI platform Skills inside the Skill Registry. Supports create, list, delete, and patch operations.
Input schema
{
  "type": "object",
  "properties": {
    "action": {
      "type": "string",
      "enum": [
        "create",
        "list",
        "delete",
        "patch"
      ],
      "description": "The administrative skill action to perform: create, list, delete, or patch."
    },
    "skill_id": {
      "type": "string",
      "description": "Unique ID of the skill. Required for create, delete, and patch actions."
    },
    "display_name": {
      "type": "string",
      "description": "Display name of the skill. Used for create and patch."
    },
    "description": {
      "type": "string",
      "description": "A detailed description of what the skill does."
    },
    "zipped_filesystem": {
      "type": "string",
      "description": "Base64 encoded string of the ZIP archive containing the skill files (e.g. SKILL.md). Required for create."
    },
    "project_id": {
      "type": "string",
      "description": "Optional. Google Cloud Project ID."
    },
    "location": {
      "type": "string",
      "description": "Optional. Google Cloud Region (defaults to us-central1)."
    }
  },
  "required": [
    "action"
  ]
}
gemini_enterprise_manage_target_sitesManage Target Sites for website search engines. Supports create, list, and delete operations.
Input schema
{
  "type": "object",
  "properties": {
    "action": {
      "type": "string",
      "enum": [
        "create",
        "list",
        "delete"
      ],
      "description": "The action to perform: create, list, or delete."
    },
    "datastore_id": {
      "type": "string",
      "description": "The target DataStore ID."
    },
    "url": {
      "type": "string",
      "description": "The website target site URL or glob pattern (e.g. \"https://example.com/*\"). Required for create and delete."
    },
    "project_id": {
      "type": "string",
      "description": "Optional. Google Cloud Project ID."
    },
    "location": {
      "type": "string",
      "description": "Optional. Google Cloud Region."
    }
  },
  "required": [
    "action",
    "datastore_id"
  ]
}
gemini_enterprise_searchSearch for documents or information in a Gemini Enterprise Datastore (Vertex AI Search). Supports custom query, datastore id and optional page size.
Input schema
{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "The search query string."
    },
    "datastore_id": {
      "type": "string",
      "description": "The ID of the target Vertex AI datastore."
    },
    "pageSize": {
      "type": "number",
      "description": "Optional. Number of results to return (default is 10)."
    }
  },
  "required": [
    "query",
    "datastore_id"
  ]
}

Resources 0

  • None observed.

Resource templates 0

  • None observed.

Prompts 0

  • None observed.

Remote endpoints

EndpointTransportAuthenticationHealthObserved
No verified remote endpoint is linked.

Gemini Enterprise MCP Server questions

How do I install Gemini Enterprise MCP Server?

Install the selected package version with: npm install --save-exact ge-app-mcp@0.3.1

What tools does Gemini Enterprise MCP Server provide?

Gemini Enterprise MCP Server exposed 19 tools during independent protocol observation, including gemini_enterprise_ask, gemini_enterprise_configure_connector, gemini_enterprise_get_document, gemini_enterprise_manage_agents, gemini_enterprise_manage_apps, gemini_enterprise_manage_assistant, gemini_enterprise_manage_controls, gemini_enterprise_manage_datastore, and others.

Is Gemini Enterprise MCP Server secure?

The selected current version does not yet have completed public verification. Unknown does not mean clean or vulnerable.

Company and product intelligence

These internal links are derived from strong identity fields such as the implementation name, package, repository, vendor, and listing name—not generic description prose.

Associated company landscape

Google intelligence →

Association is based on retained identity fields; it does not by itself prove first-party publication.

Explore related MCP server guides

Curated product and capability guides containing this catalog record.

Developer Tool MCP ServersOfficial vs Community MCP Servers

Let’s talk about MCP security.

Share your details and our security team will contact you.