Knowledge Base Retrieval
This MCP server, developed by Jean Ibarz, provides tools for listing and retrieving content from different knowledge bases. Built with TypeScript and leveraging libraries like Faiss and Hugging Face, it offers functionality to access and search through structured knowledge repositories. The implementation focuses on efficient retrieval and vectorization of knowledge base content, enabling AI models to query and utilize diverse information sources. By connecting AI systems with organized knowledge stores, this server facilitates use cases such as question answering, information retrieval, and knowledge-based reasoning, making it particularly useful for applications requiring access to curated information across multiple domains.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ai-ml
- Source
- PulseMCP
- Author type
- human
- Updated
- 2026-04-25
Use via MCP
Resolve Knowledge Base Retrieval 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.