What tools does Vectorize MCP Server provide?
Three tools: `retrieve` for vector search, `extract` for text extraction and chunking to Markdown, and `deep-research` for generating private deep research from your pipeline.
Vectorize MCP Server
@vectorize-io
Basic information
About Vectorize MCP Server
Official Vectorize MCP Server
Vectorize MCP Server config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"vectorize-mcp-server": {
"command": "npx",
"args": [
"-y",
"@vectorize-io/vectorize-mcp-server@latest"
]
}
}
}Vectorize MCP Server tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
Overview
What is Vectorize MCP Server?
Vectorize MCP Server is a Model Context Protocol (MCP) server that integrates with Vectorize for advanced vector retrieval, text extraction, and deep research from your Vectorize pipelines.
How to use Vectorize MCP Server?
Install and run via npx with three environment variables: VECTORIZE_ORG_ID, VECTORIZE_TOKEN, and VECTORIZE_PIPELINE_ID. Invoke the MCP server, then use its tools (retrieve, extract, deep-research) to query, extract, or generate research from your pipeline.
Key features of Vectorize MCP Server
- Perform vector search and retrieve relevant documents.
- Extract text from documents and chunk into Markdown.
- Generate private deep research from your pipeline.
- One-click install for VS Code (stable and Insiders).
- Supports configuration in Claude, Windsurf, Cursor, and Cline.
Use cases of Vectorize MCP Server
- Query a company's financial health via vector retrieval.
- Extract and chunk a PDF document into Markdown.
- Generate a financial status report by deep research with web search.
- Build AI agents that can search and reason over private Vectorize data.
Frequently asked questions
What dependencies or runtime does Vectorize MCP Server require?
It runs via npx (Node.js) and requires a Vectorize organization ID, token, and pipeline ID set as environment variables.
Where does data live when using Vectorize MCP Server?
Data is stored in your Vectorize pipeline; the server queries and extracts from your existing pipeline data.
How do I authenticate to Vectorize MCP Server?
Authentication is handled through the `VECTORIZE_ORG_ID`, `VECTORIZE_TOKEN`, and `VECTORIZE_PIPELINE_ID` environment variables.
What transports does Vectorize MCP Server use?
The server uses standard MCP transport (stdio) and is launched via npx. No network transport is specified beyond the MCP protocol.
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