MCP server intelligence profile

Dumpling AI MCP Server

Integrates with Dumpling AI to provide data scraping, content processing, knowledge management, and code execution capabilities through tools for web interactions, document handling, and AI services

Local OnlyOfficial distributionDumplingAI
Verified cleanNpm · 1.1.3

Our scanner tested version 1.1.3 without proving a finding in the methods exercised. This is not a guarantee that every deployment is secure.

1Distribution channel
27Independently observed tools
0Linked remote endpoints
AvailableVersion intelligence

Install and connect

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

Install mcp-server-dumplingai from npm

Version 1.1.3 declares 1 executable entrypoint.

npm install --save-exact mcp-server-dumplingai@1.1.3
npx -y -p mcp-server-dumplingai@1.1.3 mcp-server-dumplingai
MCP client configuration example
{
  "mcpServers": {
    "mcp-server-dumplingai": {
      "command": "npx",
      "args": [
        "-y",
        "-p",
        "mcp-server-dumplingai@1.1.3",
        "mcp-server-dumplingai"
      ]
    }
  }
}

Identity

Canonical slugdumpling-ai-mcp-server-d8b0c7d8DeploymentLocal Only
Canonical packagenpm:mcp-server-dumplingaiRepositoryDumplingAI/mcp-server-dumplingai
First published—Latest release—
Last security verificationAug 20, 2026Classification confidence90%
PublicationPublishedOfficial distributionYes

Distributions

ChannelIdentifierCurrent versionVersionsSource
npmmcp-server-dumplingai1.1.36Repository

Current release

PackageVersionPublished / observedInventorySecurity scan
npmmcp-server-dumplingai1.1.3CurrentSep 5, 202627 toolsSucceeded · 0 resources · 0 promptsVerified clean
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  • Historical evidence and API exports
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Current version evidence

Provenanceartifact_hash_verifiedSignature—
MCP SDK@modelcontextprotocol/sdk Artifact SHA-25691ad64633f6924570250459a5ea6cfe85bf935ee219ab2a2d5be765003eb6796
Scannermcp-proof-engine 0.1.0Scan completedAug 20, 2026
Security rating48 / 100Methodologyversion-rating-1.0
Executable entrypoints
[
  "mcp-server-dumplingai"
]
Rating reasons
[
  "security_policy_not_observed"
]
0Proven
3397Clean
0Inconclusive
0Flaky
0Errors

Current protocol inventory

2025-06-18Negotiated protocol
dumplingaiServer-reported name
1Capability groups
Aug 17, 2026Observed

Tools 27

ToolCategoryAnnotationsRisk
add-to-knowledge-baseAdd new text resources to a knowledge base.
Input schema
{
  "type": "object",
  "properties": {
    "knowledgeBaseId": {
      "type": "string",
      "description": "Knowledge base ID"
    },
    "name": {
      "type": "string",
      "description": "Resource name"
    },
    "content": {
      "type": "string",
      "description": "Text content to add"
    }
  },
  "required": [
    "knowledgeBaseId",
    "name",
    "content"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
——
convert-to-pdfConvert various file formats to PDF.
Input schema
{
  "type": "object",
  "properties": {
    "inputMethod": {
      "type": "string",
      "enum": [
        "url",
        "base64"
      ],
      "description": "Input method"
    },
    "file": {
      "type": "string",
      "description": "URL or base64-encoded file content"
    }
  },
  "required": [
    "inputMethod",
    "file"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
——
crawlRecursively crawl websites and extract content.
Input schema
{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "format": "uri",
      "description": "Starting URL"
    },
    "limit": {
      "type": "number",
      "default": 5,
      "description": "Maximum number of pages to crawl"
    },
    "depth": {
      "type": "number",
      "default": 2,
      "description": "Maximum depth"
    },
    "format": {
      "type": "string",
      "enum": [
        "markdown",
        "text",
        "raw"
      ],
      "default": "markdown",
      "description": "Output format"
    }
  },
  "required": [
    "url"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
——
doc-to-textConvert various document formats to plain text.
Input schema
{
  "type": "object",
  "properties": {
    "inputMethod": {
      "type": "string",
      "enum": [
        "url",
        "base64"
      ],
      "description": "Input method"
    },
    "file": {
      "type": "string",
      "description": "URL or base64-encoded file content"
    },
    "pages": {
      "type": "string",
      "description": "Pages to process (e.g., '1, 2-5')"
    }
  },
  "required": [
    "inputMethod",
    "file"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
——
extractExtract structured data from web pages using AI-powered instructions.
Input schema
{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "format": "uri",
      "description": "URL to extract from"
    },
    "schema": {
      "type": "object",
      "additionalProperties": {},
      "description": "Schema defining the data to extract"
    }
  },
  "required": [
    "url",
    "schema"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
——
extract-audioExtract structured data from audio files based on a prompt.
Input schema
{
  "type": "object",
  "properties": {
    "inputMethod": {
      "type": "string",
      "enum": [
        "url",
        "base64"
      ],
      "description": "Input method"
    },
    "audio": {
      "type": "string",
      "description": "URL or base64-encoded audio"
    },
    "prompt": {
      "type": "string",
      "description": "Extraction prompt"
    },
    "jsonMode": {
      "type": "boolean",
      "description": "Return in JSON format"
    }
  },
  "required": [
    "inputMethod",
    "audio",
    "prompt"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
——
extract-documentExtract structured data from documents based on a prompt.
Input schema
{
  "type": "object",
  "properties": {
    "inputMethod": {
      "type": "string",
      "enum": [
        "url",
        "base64"
      ],
      "description": "Input method"
    },
    "files": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Array of URLs or base64-encoded documents"
    },
    "prompt": {
      "type": "string",
      "description": "Extraction prompt"
    },
    "jsonMode": {
      "type": "boolean",
      "description": "Return in JSON format"
    }
  },
  "required": [
    "inputMethod",
    "files",
    "prompt"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
——
extract-imageExtract structured data from images based on a prompt.
Input schema
{
  "type": "object",
  "properties": {
    "inputMethod": {
      "type": "string",
      "enum": [
        "url",
        "base64"
      ],
      "description": "Input method"
    },
    "images": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Array of URLs or base64-encoded images"
    },
    "prompt": {
      "type": "string",
      "description": "Extraction prompt"
    },
    "jsonMode": {
      "type": "boolean",
      "description": "Return in JSON format"
    }
  },
  "required": [
    "inputMethod",
    "images",
    "prompt"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
——
extract-videoExtract structured data from videos based on a prompt.
Input schema
{
  "type": "object",
  "properties": {
    "inputMethod": {
      "type": "string",
      "enum": [
        "url",
        "base64"
      ],
      "description": "Input method"
    },
    "video": {
      "type": "string",
      "description": "URL or base64-encoded video"
    },
    "prompt": {
      "type": "string",
      "description": "Extraction prompt"
    },
    "jsonMode": {
      "type": "boolean",
      "description": "Return in JSON format"
    }
  },
  "required": [
    "inputMethod",
    "video",
    "prompt"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
——
generate-agent-completionGenerate AI text completions with customizable parameters.
Input schema
{
  "type": "object",
  "properties": {
    "messages": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "role": {
            "type": "string",
            "enum": [
              "user",
              "assistant"
            ]
          },
          "content": {
            "type": "string"
          }
        },
        "required": [
          "role",
          "content"
        ],
        "additionalProperties": false
      },
      "description": "Array of messages"
    },
    "agentId": {
      "type": "string",
      "description": "Agent ID"
    },
    "parseJson": {
      "type": "boolean",
      "description": "Parse response as JSON"
    },
    "threadId": {
      "type": "string",
      "description": "Thread ID for conversation history"
    }
  },
  "required": [
    "messages",
    "agentId"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
——
generate-ai-imageGenerate AI images from text prompts.
Input schema
{
  "type": "object",
  "properties": {
    "model": {
      "type": "string",
      "description": "Model to use for generation"
    },
    "input": {
      "type": "object",
      "properties": {
        "prompt": {
          "type": "string",
          "description": "Text prompt"
        },
        "seed": {
          "type": "number",
          "description": "Random seed"
        },
        "num_outputs": {
          "type": "number",
          "description": "Number of images"
        },
        "aspect_ratio": {
          "type": "string",
          "description": "Aspect ratio"
        },
        "output_format": {
          "type": "string",
          "description": "Output format"
        },
        "output_quality": {
          "type": "number",
          "description": "Output quality"
        },
        "num_inference_steps": {
          "type": "number",
          "description": "Inference steps"
        },
        "guidance": {
          "type": "number",
          "description": "Guidance scale"
        }
      },
      "required": [
        "prompt"
      ],
      "additionalProperties": false,
      "description": "Model-specific parameters"
    }
  },
  "required": [
    "model",
    "input"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
——
get-autocompleteRetrieve Google autocomplete suggestions for a query.
Input schema
{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Search query"
    },
    "location": {
      "type": "string",
      "description": "Location name"
    },
    "country": {
      "type": "string",
      "description": "Country code (e.g., 'us')"
    },
    "language": {
      "type": "string",
      "description": "Language code (e.g., 'en')"
    }
  },
  "required": [
    "query"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
——
get-google-reviewsRetrieve Google reviews for businesses or places.
Input schema
{
  "type": "object",
  "properties": {
    "keyword": {
      "type": "string",
      "description": "Business name or search term"
    },
    "cid": {
      "type": "string",
      "description": "Google Maps CID"
    },
    "placeId": {
      "type": "string",
      "description": "Google Place ID"
    },
    "reviews": {
      "type": "number",
      "default": 10,
      "description": "Number of reviews to fetch"
    },
    "sortBy": {
      "type": "string",
      "enum": [
        "relevant",
        "newest",
        "highest_rating",
        "lowest_rating"
      ],
      "default": "relevant",
      "description": "Sort order"
    },
    "language": {
      "type": "string",
      "default": "en",
      "description": "Language code (e.g., 'en')"
    },
    "location": {
      "type": "string",
      "default": "London,England,United Kingdom",
      "description": "Location context"
    }
  },
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
——
get-youtube-transcriptExtract transcripts from YouTube videos with optional parameters for timestamps and language preferences.
Input schema
{
  "type": "object",
  "properties": {
    "videoUrl": {
      "type": "string",
      "format": "uri",
      "description": "URL of the YouTube video"
    },
    "includeTimestamps": {
      "type": "boolean",
      "default": true,
      "description": "Whether to include timestamps"
    },
    "timestampsToCombine": {
      "type": "number",
      "default": 5,
      "description": "Number of timestamps to combine"
    },
    "preferredLanguage": {
      "type": "string",
      "default": "en",
      "description": "Preferred language code"
    }
  },
  "required": [
    "videoUrl"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
——
merge-pdfsCombine multiple PDF files into a single document.
Input schema
{
  "type": "object",
  "properties": {
    "inputMethod": {
      "type": "string",
      "enum": [
        "url",
        "base64"
      ],
      "description": "Input method"
    },
    "files": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Array of URLs or base64-encoded PDFs"
    },
    "metadata": {
      "type": "object",
      "properties": {
        "Title": {
          "type": "string"
        },
        "Author": {
          "type": "string"
        },
        "Subject": {
          "type": "string"
        },
        "Keywords": {
          "type": "string"
        }
      },
      "additionalProperties": false,
      "description": "Metadata for merged PDF"
    },
    "pdfa": {
      "type": "string",
      "enum": [
        "PDF/A-1b",
        "PDF/A-2b",
        "PDF/A-3b"
      ],
      "description": "PDF/A compliance"
    },
    "pdfua": {
      "type": "boolean",
      "description": "PDF/UA compliance"
    },
    "requestSource": {
      "type": "string",
      "description": "Request source"
    }
  },
  "required": [
    "inputMethod",
    "files"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
——
read-pdf-metadataExtract metadata from PDF files.
Input schema
{
  "type": "object",
  "properties": {
    "inputMethod": {
      "type": "string",
      "enum": [
        "url",
        "base64"
      ],
      "description": "Input method"
    },
    "files": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Array of URLs or base64-encoded PDFs"
    },
    "requestSource": {
      "type": "string",
      "description": "Request source"
    }
  },
  "required": [
    "inputMethod",
    "files"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
——
run-js-codeExecute JavaScript code in a sandbox.
Input schema
{
  "type": "object",
  "properties": {
    "code": {
      "type": "string",
      "description": "JavaScript code"
    },
    "commands": {
      "type": "string",
      "description": "NPM install commands"
    },
    "parseJson": {
      "type": "boolean",
      "description": "Parse output as JSON"
    },
    "timeout": {
      "type": "number",
      "description": "Execution timeout in ms"
    },
    "memory": {
      "type": "number",
      "description": "Memory allocation in MB"
    }
  },
  "required": [
    "code"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
——
run-python-codeExecute Python code in a sandbox.
Input schema
{
  "type": "object",
  "properties": {
    "code": {
      "type": "string",
      "description": "Python code"
    },
    "commands": {
      "type": "string",
      "description": "Pip install commands"
    },
    "parseJson": {
      "type": "boolean",
      "description": "Parse output as JSON"
    },
    "timeout": {
      "type": "number",
      "description": "Execution timeout in ms"
    },
    "memory": {
      "type": "number",
      "description": "Memory allocation in MB"
    },
    "saveOutputFiles": {
      "type": "boolean",
      "description": "Save output files"
    }
  },
  "required": [
    "code"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
——
scrapeExtract and parse content from any web page.
Input schema
{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "format": "uri",
      "description": "URL to scrape"
    },
    "format": {
      "type": "string",
      "enum": [
        "markdown",
        "html",
        "screenshot"
      ],
      "description": "Output format"
    },
    "cleaned": {
      "type": "boolean",
      "description": "Whether to clean content"
    },
    "renderJs": {
      "type": "boolean",
      "default": true,
      "description": "Whether to render JavaScript"
    }
  },
  "required": [
    "url"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
——
screenshotCapture screenshots of web pages with customizable settings.
Input schema
{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "format": "uri",
      "description": "URL to capture"
    },
    "width": {
      "type": "number",
      "description": "Viewport width"
    },
    "height": {
      "type": "number",
      "description": "Viewport height"
    },
    "deviceScaleFactor": {
      "type": "number",
      "description": "Device scale factor"
    },
    "fullPage": {
      "type": "boolean",
      "description": "Capture full page"
    },
    "format": {
      "type": "string",
      "enum": [
        "png",
        "jpeg"
      ],
      "description": "Image format"
    },
    "quality": {
      "type": "number",
      "description": "Image quality (1-100)"
    },
    "renderJs": {
      "type": "boolean",
      "description": "Render JavaScript"
    },
    "wait": {
      "type": "number",
      "minimum": 0,
      "maximum": 5000,
      "default": 0,
      "description": "Wait time in ms before capture"
    },
    "clipRectangle": {
      "type": "object",
      "properties": {
        "top": {
          "type": "number"
        },
        "left": {
          "type": "number"
        },
        "width": {
          "type": "number"
        },
        "height": {
          "type": "number"
        }
      },
      "required": [
        "top",
        "left",
        "width",
        "height"
      ],
      "additionalProperties": false,
      "description": "Area to clip"
    },
    "blockCookieBanners": {
      "type": "boolean",
      "default": true,
      "description": "Block cookie banners"
    },
    "autoScroll": {
      "type": "boolean",
      "description": "Auto-scroll page"
    }
  },
  "required": [
    "url"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
——
searchPerform Google web searches with customizable parameters.
Input schema
{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Search query"
    },
    "country": {
      "type": "string",
      "description": "Country code (e.g., 'us')"
    },
    "location": {
      "type": "string",
      "description": "Location name"
    },
    "language": {
      "type": "string",
      "description": "Language code (e.g., 'en')"
    },
    "dateRange": {
      "type": "string",
      "enum": [
        "anyTime",
        "pastHour",
        "pastDay",
        "pastWeek",
        "pastMonth",
        "pastYear"
      ],
      "description": "Time range filter"
    },
    "page": {
      "type": "number",
      "description": "Page number"
    },
    "scrapeResults": {
      "type": "boolean",
      "description": "Whether to scrape results"
    },
    "numResultsToScrape": {
      "type": "number",
      "description": "Number of results to scrape"
    },
    "scrapeOptions": {
      "type": "object",
      "properties": {
        "format": {
          "type": "string",
          "enum": [
            "markdown",
            "html",
            "screenshot"
          ]
        },
        "cleaned": {
          "type": "boolean"
        }
      },
      "additionalProperties": false,
      "description": "Scraping options"
    }
  },
  "required": [
    "query"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
——
search-knowledge-baseSearch a knowledge base for relevant information.
Input schema
{
  "type": "object",
  "properties": {
    "knowledgeBaseId": {
      "type": "string",
      "description": "Knowledge base ID"
    },
    "query": {
      "type": "string",
      "description": "Search query"
    },
    "resultCount": {
      "type": "number",
      "default": 5,
      "description": "Number of results"
    }
  },
  "required": [
    "knowledgeBaseId",
    "query"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
——
search-mapsSearch Google Maps for locations and businesses.
Input schema
{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Search query"
    },
    "gpsPositionZoom": {
      "type": "string",
      "description": "GPS coordinates with zoom (e.g., 'lat,long,zoom')"
    },
    "placeId": {
      "type": "string",
      "description": "Google Place ID"
    },
    "cid": {
      "type": "string",
      "description": "Google Maps CID"
    },
    "language": {
      "type": "string",
      "description": "Language code (e.g., 'en')"
    },
    "page": {
      "type": "number",
      "description": "Page number"
    }
  },
  "required": [
    "query"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
——
search-newsSearch for news articles across multiple sources.
Input schema
{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Search query"
    },
    "country": {
      "type": "string",
      "description": "Country code (e.g., 'us')"
    },
    "location": {
      "type": "string",
      "description": "Location name"
    },
    "language": {
      "type": "string",
      "description": "Language code (e.g., 'en')"
    },
    "dateRange": {
      "type": "string",
      "enum": [
        "anyTime",
        "pastHour",
        "pastDay",
        "pastWeek",
        "pastMonth",
        "pastYear"
      ],
      "description": "Time range filter"
    },
    "page": {
      "type": "number",
      "description": "Page number"
    }
  },
  "required": [
    "query"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
——
search-placesSearch for places with detailed business information.
Input schema
{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Search query"
    },
    "country": {
      "type": "string",
      "description": "Country code (e.g., 'us')"
    },
    "location": {
      "type": "string",
      "description": "Location name"
    },
    "language": {
      "type": "string",
      "description": "Language code (e.g., 'en')"
    },
    "page": {
      "type": "number",
      "description": "Page number"
    }
  },
  "required": [
    "query"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
——
trim-videoTrim videos to a specific duration.
Input schema
{
  "type": "object",
  "properties": {
    "videoUrl": {
      "type": "string",
      "format": "uri",
      "description": "URL of the video"
    },
    "startTimestamp": {
      "type": "string",
      "description": "Start time in HH:MM:SS"
    },
    "endTimestamp": {
      "type": "string",
      "description": "End time in HH:MM:SS"
    }
  },
  "required": [
    "videoUrl",
    "startTimestamp",
    "endTimestamp"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
——
write-pdf-metadataWrite metadata to PDF files.
Input schema
{
  "type": "object",
  "properties": {
    "inputMethod": {
      "type": "string",
      "enum": [
        "url",
        "base64"
      ],
      "description": "Input method"
    },
    "files": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Array of URLs or base64-encoded PDFs"
    },
    "metadata": {
      "type": "object",
      "properties": {
        "Title": {
          "type": "string"
        },
        "Author": {
          "type": "string"
        },
        "Subject": {
          "type": "string"
        },
        "Keywords": {
          "type": "string"
        },
        "Creator": {
          "type": "string"
        },
        "Producer": {
          "type": "string"
        }
      },
      "additionalProperties": false,
      "description": "Metadata to write"
    }
  },
  "required": [
    "inputMethod",
    "files",
    "metadata"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
——

Resources 0

  • None observed.

Resource templates 0

  • None observed.

Prompts 0

  • None observed.

Remote endpoints

EndpointTransportAuthenticationHealthObserved
No verified remote endpoint is linked.

Dumpling AI MCP Server questions

How do I install Dumpling AI MCP Server?

Install the selected package version with: npm install --save-exact mcp-server-dumplingai@1.1.3

What tools does Dumpling AI MCP Server provide?

Dumpling AI MCP Server exposed 27 tools during independent protocol observation, including add-to-knowledge-base, convert-to-pdf, crawl, doc-to-text, extract, extract-audio, extract-document, extract-image, and others.

Is Dumpling AI MCP Server secure?

Our scanner tested version 1.1.3 without proving a finding in the methods exercised. This is not a guarantee that every deployment is secure.

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