Vectorize
Vectorize MCP Server provides a bridge between Claude and Vectorize.io's vector database services, enabling advanced retrieval, text extraction, and deep research capabilities. Built with TypeScript, it exposes three primary tools: vector search for retrieving relevant documents from pipelines, text extraction for converting various document formats to Markdown, and deep research for generating comprehensive analyses from document collections. The implementation handles authentication through organization IDs and API tokens, making it particularly valuable for knowledge management, document analysis, and research workflows that require sophisticated vector search capabilities without leaving the conversation interface.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/vectorize-io/vectorize-mcp-server
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Vectorize from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.