PDF Knowledge Base
PDF RAG MCP Server is a knowledge base system that enables semantic search across PDF documents through vector storage and the Model Context Protocol. Built with FastAPI and React, it allows users to upload PDFs through a modern web interface where documents are automatically processed, chunked, and vectorized for intelligent querying. The system features real-time processing status updates via WebSockets, integration with AI tools like Cursor through MCP, and a responsive frontend built with Chakra UI. This implementation is particularly valuable for researchers, analysts, and developers who need to extract insights from multiple PDF documents without switching context from their AI assistant.
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
- Repository
- github.com/hyson666/pdf-rag-mcp-server
- Author type
- human
- Updated
- 2026-05-18
Use via MCP
Resolve PDF Knowledge Base 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.