The official MCP Server for Pinecone, enabling multi-tenant vector search and privacy-safe personalization within the MCP ecosystem.
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A Pinecone MCP server providing vector search capabilities over Pinecone through the Model Context Protocol.
An MCP server integrating Pinecone for advanced vector management, offering features like automatic namespace partitioning, metadata-aware chunking, and cost-optimized upserts for high-performance data recall.
The Qdrant MCP Server integrates with the Qdrant vector search engine, allowing AI agents to store and retrieve semantic information using MCP, ideal for advanced AI memory and retrieval tasks.
A purpose-built MCP server that enables semantic data retrieval via vector embeddings, allowing AI systems to perform meaning-based searches in large datasets. Qdrant is a leading example, offering standard protocols for vector operations.
Vectorize MCP Server enables semantic search and retrieval using natural language queries, optimized for performance on large-scale vector data sets. It supports customizable parameters like result counts and integrates Approximate Nearest Neighbors algorithms for efficient similarity matching. Highly relevant as a specialized MCP server for vector operations.
A server providing data retrieval capabilities powered by the Chroma embedding database, enabling AI models to create and retrieve data collections using vector search, full text search, and metadata filtering.
Category: database-messaging-mcp-servers
Tags: pinecone, vector-database, semantic-search, privacy
Pinecone MCP Server is an implementation of the Model Context Protocol (MCP) server that enables reading and writing operations to a Pinecone vector database index. It is designed to be used with clients like Claude Desktop and supports multi-tenant vector search and privacy-safe personalization within the MCP ecosystem. The server provides basic Retrieval-Augmented Generation (RAG) capabilities over Pinecone.
Source code: https://github.com/sirmews/mcp-pinecone
uvx, uv pip).No pricing information is provided. The software is open source under the MIT license; however, use of Pinecone as a backend may incur costs as per Pinecone's pricing.
MIT License.