{"type":"mcp_server","name":"vectorize-mcp-server","description":"This repository provides a Model Context Protocol (MCP) server that integrates with Vectorize for vector retrieval and text extraction. It enables advanced document processing and search functionalities using the Vectorize platform.","category":"AI","language":"JavaScript","stars":107,"forks":2,"owner":"vectorize-io","github_url":"https://github.com/vectorize-io/vectorize-mcp-server","homepage":"https://docs.vectorize.io/api/api-mcp-server","setup":"## Setup\n\n### Running with npx\n\n```bash\nexport VECTORIZE_ORG_ID=YOUR_ORG_ID\nexport VECTORIZE_TOKEN=YOUR_TOKEN\nexport VECTORIZE_PIPELINE_ID=YOUR_PIPELINE_ID\n\nnpx -y @vectorize-io/vectorize-mcp-server@latest\n```\n\n## Configuration on Claude/Windsurf/Cursor/Cline\n\n```json\n{\n  \"mcpServers\": {\n    \"vectorize\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"@vectorize-io/vectorize-mcp-server@latest\"],\n      \"env\": {\n        \"VECTORIZE_ORG_ID\": \"your-org-id\",\n        \"VECTORIZE_TOKEN\": \"your-token\",\n        \"VECTORIZE_PIPELINE_ID\": \"your-pipeline-id\"\n      }\n    }\n  }\n}\n```","tools":"## Available Tools\n\n1. Retrieve documents (Perform vector search and retrieve documents).\n2. Text extraction and chunking (Extract text from a document and chunk it into Markdown format).\n3. Deep Research (Generate a Private Deep Research from your pipeline).","faq":null,"created_at":"2025-03-10T14:43:02+00:00","updated_at":"2025-03-28T16:27:41+00:00","source_url":"https://model-context-protocol.com/servers/vectorize-mcp-server-document-search-retrieval","related_articles":[]}