# vectorize-mcp-server **Repository Path**: mirrors/vectorize_mcp_server ## Basic Information - **Project Name**: vectorize-mcp-server - **Description**: ☁️ 📇 - [Vectorize](https://vectorize.io) 用于高级检索的MCP服务器，私有Deep Research，任意文件转Markdown提取及文本分块处理。 - **Primary Language**: Unknown - **License**: MIT - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 1 - **Forks**: 0 - **Created**: 2025-07-04 - **Last Updated**: 2026-01-24 ## Categories & Tags **Categories**: Artificial-Intelligence, MCP **Tags**: None ## README # Vectorize MCP Server A Model Context Protocol (MCP) server implementation that integrates with [Vectorize](https://vectorize.io/) for advanced Vector retrieval and text extraction. Vectorize MCP server ## Installation ### Running with npx ```bash export VECTORIZE_ORG_ID=YOUR_ORG_ID export VECTORIZE_TOKEN=YOUR_TOKEN export VECTORIZE_PIPELINE_ID=YOUR_PIPELINE_ID npx -y @vectorize-io/vectorize-mcp-server@latest ``` ### VS Code Installation For one-click installation, click one of the install buttons below: [![Install with NPX in VS Code](https://img.shields.io/badge/VS_Code-NPM-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=vectorize&config=%7B%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40vectorize-io%2Fvectorize-mcp-server%40latest%22%5D%2C%22env%22%3A%7B%22VECTORIZE_ORG_ID%22%3A%22%24%7Binput%3Aorg_id%7D%22%2C%22VECTORIZE_TOKEN%22%3A%22%24%7Binput%3Atoken%7D%22%2C%22VECTORIZE_PIPELINE_ID%22%3A%22%24%7Binput%3Apipeline_id%7D%22%7D%7D&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22org_id%22%2C%22description%22%3A%22Vectorize+Organization+ID%22%7D%2C%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22token%22%2C%22description%22%3A%22Vectorize+Token%22%2C%22password%22%3Atrue%7D%2C%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22pipeline_id%22%2C%22description%22%3A%22Vectorize+Pipeline+ID%22%7D%5D) [![Install with NPX in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-NPM-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://insiders.vscode.dev/redirect/mcp/install?name=vectorize&config=%7B%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40vectorize-io%2Fvectorize-mcp-server%40latest%22%5D%2C%22env%22%3A%7B%22VECTORIZE_ORG_ID%22%3A%22%24%7Binput%3Aorg_id%7D%22%2C%22VECTORIZE_TOKEN%22%3A%22%24%7Binput%3Atoken%7D%22%2C%22VECTORIZE_PIPELINE_ID%22%3A%22%24%7Binput%3Apipeline_id%7D%22%7D%7D&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22org_id%22%2C%22description%22%3A%22Vectorize+Organization+ID%22%7D%2C%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22token%22%2C%22description%22%3A%22Vectorize+Token%22%2C%22password%22%3Atrue%7D%2C%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22pipeline_id%22%2C%22description%22%3A%22Vectorize+Pipeline+ID%22%7D%5D&quality=insiders) ### Manual Installation For the quickest installation, use the one-click install buttons at the top of this section. To install manually, add the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressing `Ctrl + Shift + P` and typing `Preferences: Open User Settings (JSON)`. ```json { "mcp": { "inputs": [ { "type": "promptString", "id": "org_id", "description": "Vectorize Organization ID" }, { "type": "promptString", "id": "token", "description": "Vectorize Token", "password": true }, { "type": "promptString", "id": "pipeline_id", "description": "Vectorize Pipeline ID" } ], "servers": { "vectorize": { "command": "npx", "args": ["-y", "@vectorize-io/vectorize-mcp-server@latest"], "env": { "VECTORIZE_ORG_ID": "${input:org_id}", "VECTORIZE_TOKEN": "${input:token}", "VECTORIZE_PIPELINE_ID": "${input:pipeline_id}" } } } } } ``` Optionally, you can add the following to a file called `.vscode/mcp.json` in your workspace to share the configuration with others: ```json { "inputs": [ { "type": "promptString", "id": "org_id", "description": "Vectorize Organization ID" }, { "type": "promptString", "id": "token", "description": "Vectorize Token", "password": true }, { "type": "promptString", "id": "pipeline_id", "description": "Vectorize Pipeline ID" } ], "servers": { "vectorize": { "command": "npx", "args": ["-y", "@vectorize-io/vectorize-mcp-server@latest"], "env": { "VECTORIZE_ORG_ID": "${input:org_id}", "VECTORIZE_TOKEN": "${input:token}", "VECTORIZE_PIPELINE_ID": "${input:pipeline_id}" } } } } ``` ## Configuration on Claude/Windsurf/Cursor/Cline ```json { "mcpServers": { "vectorize": { "command": "npx", "args": ["-y", "@vectorize-io/vectorize-mcp-server@latest"], "env": { "VECTORIZE_ORG_ID": "your-org-id", "VECTORIZE_TOKEN": "your-token", "VECTORIZE_PIPELINE_ID": "your-pipeline-id" } } } } ``` ## Tools ### Retrieve documents Perform vector search and retrieve documents (see official [API](https://docs.vectorize.io/api/api-pipelines/api-retrieval)): ```json { "name": "retrieve", "arguments": { "question": "Financial health of the company", "k": 5 } } ``` ### Text extraction and chunking (Any file to Markdown) Extract text from a document and chunk it into Markdown format (see official [API](https://docs.vectorize.io/api/api-extraction)): ```json { "name": "extract", "arguments": { "base64document": "base64-encoded-document", "contentType": "application/pdf" } } ``` ### Deep Research Generate a Private Deep Research from your pipeline (see official [API](https://docs.vectorize.io/api/api-pipelines/api-deep-research)): ```json { "name": "deep-research", "arguments": { "query": "Generate a financial status report about the company", "webSearch": true } } ``` ## Development ```bash npm install npm run dev ``` ### Release Change the package.json version and then: ```bash git commit -am "x.y.z" git tag x.y.z git push origin git push origin --tags ``` ### Contributing 1. Fork the repository 2. Create your feature branch 3. Submit a pull request