Pinecone Economic Books
Enables natural language semantic search and detailed metadata filtering across a Pinecone vector database of economic books and academic papers.
About
This Model Context Protocol (MCP) server provides a powerful interface to a Pinecone vector database filled with economic books and academic papers. Its primary feature is seamless natural language semantic search, allowing users to query the database using plain English and receive highly relevant results, leveraging Pinecone's integrated inference API. Complementing this, the server offers ten specialized search tools for granular control, combining semantic search with precise metadata filtering by author, subject, book, page range, and other criteria. Designed for read-only operations, it's an invaluable tool for researchers and students seeking efficient and focused access to economic literature.
Key Features
- Natural language semantic search powered by Pinecone's integrated inference API
- Ten comprehensive search tools for varied query types, including advanced filtered searches
- Precise metadata filtering by author, subject, book, page range, and custom combinations
- Read-only operations to query and retrieve data, ensuring database integrity
- Retrieval of specific documents by ID and access to Pinecone index statistics
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Use Cases
- Researching specific economic theories or concepts across a large corpus of academic literature
- Finding content from particular authors or on specific subjects within economic texts
- Locating relevant information within defined page ranges of economic books
