MCP server intelligence profile

Ollama MCP Server

Enables seamless integration between Ollama's local LLM models and MCP-compatible applications, supporting model management and chat interactions

Local Onlyrawveg
Awaiting current scanNpm · 2.1.0

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

1Distribution channel
13Independently 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 ollama-mcp from npm

Version 2.1.0 declares 1 executable entrypoint.

npm install --save-exact ollama-mcp@2.1.0
npx -y -p ollama-mcp@2.1.0 ollama-mcp
MCP client configuration example
{
  "mcpServers": {
    "ollama-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "-p",
        "ollama-mcp@2.1.0",
        "ollama-mcp"
      ]
    }
  }
}

Identity

Canonical slugollama-mcp-server-acd05ea1DeploymentLocal Only
Canonical packagenpm:ollama-mcpRepositoryrawveg/ollama-mcp
First published—Latest release—
Last security verification—Classification confidence90%
PublicationDraftOfficial distributionNot verified

Distributions

ChannelIdentifierCurrent versionVersionsSource
npmollama-mcp2.1.05Repository

Current release

PackageVersionPublished / observedInventorySecurity scan
npmollama-mcp2.1.0CurrentSep 5, 202613 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
ollama-mcpServer-reported name
1Capability groups
Aug 15, 2026Observed

Tools 13

ToolCategoryAnnotationsRisk
ollama_chatChat with a model using conversation messages. Supports system messages, multi-turn conversations, tool calling, and generation options.
Input schema
{
  "type": "object",
  "properties": {
    "model": {
      "type": "string",
      "description": "Name of the model to use"
    },
    "messages": {
      "type": "array",
      "description": "Array of chat messages",
      "items": {
        "type": "object",
        "properties": {
          "role": {
            "type": "string",
            "enum": [
              "system",
              "user",
              "assistant"
            ]
          },
          "content": {
            "type": "string"
          },
          "images": {
            "type": "array",
            "items": {
              "type": "string"
            }
          }
        },
        "required": [
          "role",
          "content"
        ]
      }
    },
    "tools": {
      "type": "string",
      "description": "Tools that the model can call (optional). Provide as JSON array of tool objects."
    },
    "options": {
      "type": "string",
      "description": "Generation options (optional). Provide as JSON object with settings like temperature, top_p, etc."
    },
    "format": {
      "type": "string",
      "enum": [
        "json",
        "markdown"
      ],
      "default": "json"
    }
  },
  "required": [
    "model",
    "messages"
  ]
}
——
ollama_copyCopy a model. Creates a duplicate of an existing model with a new name.
Input schema
{
  "type": "object",
  "properties": {
    "source": {
      "type": "string",
      "description": "Name of the source model"
    },
    "destination": {
      "type": "string",
      "description": "Name for the copied model"
    },
    "format": {
      "type": "string",
      "enum": [
        "json",
        "markdown"
      ],
      "default": "json"
    }
  },
  "required": [
    "source",
    "destination"
  ]
}
——
ollama_createCreate a new model with structured parameters. Allows customization of model behavior, system prompts, and templates.
Input schema
{
  "type": "object",
  "properties": {
    "model": {
      "type": "string",
      "description": "Name for the new model"
    },
    "from": {
      "type": "string",
      "description": "Base model to derive from (e.g., llama2, llama3)"
    },
    "system": {
      "type": "string",
      "description": "System prompt for the model"
    },
    "template": {
      "type": "string",
      "description": "Prompt template to use"
    },
    "license": {
      "type": "string",
      "description": "License for the model"
    },
    "format": {
      "type": "string",
      "enum": [
        "json",
        "markdown"
      ],
      "default": "json"
    }
  },
  "required": [
    "model",
    "from"
  ]
}
——
ollama_deleteDelete a model from local storage. Removes the model and frees up disk space.
Input schema
{
  "type": "object",
  "properties": {
    "model": {
      "type": "string",
      "description": "Name of the model to delete"
    },
    "format": {
      "type": "string",
      "enum": [
        "json",
        "markdown"
      ],
      "default": "json"
    }
  },
  "required": [
    "model"
  ]
}
——
ollama_embedGenerate embeddings for text input. Returns numerical vector representations.
Input schema
{
  "type": "object",
  "properties": {
    "model": {
      "type": "string",
      "description": "Name of the model to use"
    },
    "input": {
      "type": "string",
      "description": "Text input. For batch processing, provide a JSON-encoded array of strings, e.g., [\"text1\", \"text2\"]"
    },
    "format": {
      "type": "string",
      "enum": [
        "json",
        "markdown"
      ],
      "default": "json"
    }
  },
  "required": [
    "model",
    "input"
  ]
}
——
ollama_generateGenerate completion from a prompt. Simpler than chat, useful for single-turn completions.
Input schema
{
  "type": "object",
  "properties": {
    "model": {
      "type": "string",
      "description": "Name of the model to use"
    },
    "prompt": {
      "type": "string",
      "description": "The prompt to generate from"
    },
    "options": {
      "type": "string",
      "description": "Generation options (optional). Provide as JSON object with settings like temperature, top_p, etc."
    },
    "format": {
      "type": "string",
      "enum": [
        "json",
        "markdown"
      ],
      "default": "json"
    }
  },
  "required": [
    "model",
    "prompt"
  ]
}
——
ollama_listList all available Ollama models installed locally. Returns model names, sizes, and modification dates.
Input schema
{
  "type": "object",
  "properties": {
    "format": {
      "type": "string",
      "enum": [
        "json",
        "markdown"
      ],
      "description": "Output format (default: json)",
      "default": "json"
    }
  }
}
——
ollama_psList running models. Shows which models are currently loaded in memory.
Input schema
{
  "type": "object",
  "properties": {
    "format": {
      "type": "string",
      "enum": [
        "json",
        "markdown"
      ],
      "default": "json"
    }
  }
}
——
ollama_pullPull a model from the Ollama registry. Downloads the model to make it available locally.
Input schema
{
  "type": "object",
  "properties": {
    "model": {
      "type": "string",
      "description": "Name of the model to pull"
    },
    "insecure": {
      "type": "boolean",
      "description": "Allow insecure connections",
      "default": false
    },
    "format": {
      "type": "string",
      "enum": [
        "json",
        "markdown"
      ],
      "default": "json"
    }
  },
  "required": [
    "model"
  ]
}
——
ollama_pushPush a model to the Ollama registry. Uploads a local model to make it available remotely.
Input schema
{
  "type": "object",
  "properties": {
    "model": {
      "type": "string",
      "description": "Name of the model to push"
    },
    "insecure": {
      "type": "boolean",
      "description": "Allow insecure connections",
      "default": false
    },
    "format": {
      "type": "string",
      "enum": [
        "json",
        "markdown"
      ],
      "default": "json"
    }
  },
  "required": [
    "model"
  ]
}
——
ollama_showShow detailed information about a specific model including modelfile, parameters, and architecture details.
Input schema
{
  "type": "object",
  "properties": {
    "model": {
      "type": "string",
      "description": "Name of the model to show"
    },
    "format": {
      "type": "string",
      "enum": [
        "json",
        "markdown"
      ],
      "description": "Output format (default: json)",
      "default": "json"
    }
  },
  "required": [
    "model"
  ]
}
——
ollama_web_fetchFetch a web page by URL using Ollama's web fetch API. Returns the page title, content, and links. Requires OLLAMA_API_KEY environment variable.
Input schema
{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "description": "The URL to fetch"
    },
    "format": {
      "type": "string",
      "enum": [
        "json",
        "markdown"
      ],
      "default": "json"
    }
  },
  "required": [
    "url"
  ]
}
——
ollama_web_searchPerform a web search using Ollama's web search API. Augments models with latest information to reduce hallucinations. Requires OLLAMA_API_KEY environment variable.
Input schema
{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "The search query string"
    },
    "max_results": {
      "type": "number",
      "description": "Maximum number of results to return (1-10, default 5)",
      "default": 5
    },
    "format": {
      "type": "string",
      "enum": [
        "json",
        "markdown"
      ],
      "default": "json"
    }
  },
  "required": [
    "query"
  ]
}
——

Resources 0

  • None observed.

Resource templates 0

  • None observed.

Prompts 0

  • None observed.

Remote endpoints

EndpointTransportAuthenticationHealthObserved
No verified remote endpoint is linked.

Ollama MCP Server questions

How do I install Ollama MCP Server?

Install the selected package version with: npm install --save-exact ollama-mcp@2.1.0

What tools does Ollama MCP Server provide?

Ollama MCP Server exposed 13 tools during independent protocol observation, including ollama_chat, ollama_copy, ollama_create, ollama_delete, ollama_embed, ollama_generate, ollama_list, ollama_ps, and others.

Is Ollama MCP Server secure?

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

Explore related MCP server guides

Curated product and capability guides containing this catalog record.

Official vs Community MCP Servers

Let’s talk about MCP security.

Share your details and our security team will contact you.