Vectara
Vectara MCP Server provides a bridge between AI assistants and Vectara's Retrieval-Augmented Generation (RAG) capabilities. Built by Ofer Mendelevitch, it offers two primary tools: one for running RAG queries that return both search results and generated responses, and another for semantic search without generation. The server handles authentication with Vectara's API, manages context configuration for search results, and supports customization of generation parameters including language selection and citation formatting. It's particularly valuable for developers who need to integrate powerful RAG functionality into conversational AI interfaces without managing the complexities of Vectara's API directly.
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
- ai-ml
- Source
- PulseMCP
- Repository
- github.com/vectara/vectara-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Vectara 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.