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mcp-pineconeKomplekti Model Context Protocol (MCP) protoprogrammis ja Pinecone indexi ielevaade, mis lubab leida ja salvestada andmeid Pinecone indexi.

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Daniel NikulshynVaadanud Daniel Nikulshyn·Uuendatud juuli 2026

Ülevaade

MCP-Pinecone on põhjendamine Pinecone indexi avaliku põhjenduse allalaadimiseks ja -salvestamiseks, peatesine kluske käsitlemiseks, -päringute vastuse lisamiseks Pinecone indexi ja -klikku Pinecone indexi statistikat vaatamiseks.

Põhifunktsioonid

  • Komplekti Model Context Protocol (MCP) protoprogrammis ja Pinecone indexi ielevaade
  • Reading and writing to the Pinecone index
  • Teeninduskluske alla laadida ja salvestada Pinecone indexi
  • Päringude vastuse laadimine ja -salvestamine Pinecone indexi
  • Klusked käsitage ja Pinecone indexi statistikakahtade vaatamine

Hinnad

Mudel
Free
Hinnang
Arvustusi pole

Kasutusjuhud

Retrieval and Query Handling

Read query information to a Pinecone index. Process documents for simple query processing and for simple file retrieval and management.

Document Processing and Indexing

Use the Document Processing and Indexing tool for handling documents and basic indexing and maintenance. Retrieve and manage files for simple query processing and file retrieval.

Plussid ja miinused

Plussid

  • Read and write permissions to the Pinecone index
  • Basic Retrieval Augmented Generation (RAG) functionality including simple query support and file management
  • Available Document Processing and Indexing tool
  • Viewing of Pinecone index statistic-clusters
  • EASY to use visual interface

Miinused

  • Only MCP and basic statistics support
  • Public Pinecone index reading
  • File retrieval and maintenance
  • Necessary basic MCP and Pinecone index statistics

Arvustused

Logi sisse arvustuse jätmiseks.

Arvustusi pole. Ole esimene!

Küsimused

How do I install and run the MCP server locally?

You can install it via Smithery or directly with Python’s uv tool; the codebase is Python‑based, and the README provides steps to set up the server and connect it to a Pinecone index.

Asked by Yelena Popova · Nov 27, 2025

What are the main limitations I should be aware of before adopting mcp-pinecone?

The repository was archived in November 2025, making it read‑only with limited documentation and community support; also, the RAG functionality is rudimentary and relies on Pinecone’s inference API for embeddings.

Asked by Julia Steiner · Nov 24, 2025

Can mcp-pinecone be integrated with Claude Desktop out of the box?

Yes, the server is designed to work with Claude Desktop via the Model Context Protocol (MCP) client, allowing Claude Desktop to invoke its tools such as semantic search and document upserting.

Asked by Yara Mansour · Oct 16, 2025

Is mcp-pinecone free to use or are there any licensing fees?

mcp-pinecone is an open‑source project released on GitHub under its repository license, so there are no direct licensing fees; you can use it freely, though you still pay for any Pinecone service usage.

Asked by Omar Haddad · Aug 27, 2025

Esita küsimus

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