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lorenzpfei

PageIndex MCP

by lorenzpfei

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      A local-first MCP server for PageIndex — the vectorless, reasoning-based RAG framework. It lets local AI agents index and query local PDF and Markdown documents through a self-hosted PageIndex installation, without requiring any PageIndex cloud API key.
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    • A
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      Self-hosted MCP server for Claude Code that implements PageIndex vectorless RAG locally, enabling indexing, navigation, and content extraction of PDF documents without LLM calls during search.
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    • A
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      A local-first MCP server that ingests PDFs, extracts structure, and provides semantic search and sequential navigation tools for AI clients to query and learn from documents.
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    • A
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      An MCP server that indexes documents and serves relevant context to LLMs via Retrieval Augmented Generation (RAG).
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    • A
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      A local-first MCP server for building and querying PDF knowledge bases. It indexes PDFs into DuckDB and exposes evidence-grounded retrieval tools to separate corpus-backed answers from independent reasoning.
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    • F
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      MCP server that ingests PDF documents into pgvector for semantic search and RAG pipelines. It handles extraction, chunking, local embeddings, and storage, enabling agents to make PDFs searchable via natural language.
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