Read and write to a Pinecone index.
mcp-pinecone source profile. From the maintainer documentation: “Read and write to a Pinecone index.”
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| semantic-search | Search for records in the Pinecone index. |
| read-document | Read a document from the Pinecone index. |
| list-documents | List all documents in the Pinecone index. |
| pinecone-stats | Get stats about the Pinecone index, including the number of records, dimensions, and namespaces. |
| process-document | Process a document into chunks and upsert them into the Pinecone index. This performs the overall steps of chunking, embedding, and upserting. |
Official Redis server — search keys, inspect data structures and manage caches in natural language.
Enables AI agents and LLMs to interact with the web and extract information from web pages via the RAG Web Browser Actor.
Enables semantic search and retrieval of documentation using a vector database, allowing users to add and query documentation from URLs or local
Augments AI responses with relevant documentation context through vector search.
Augment AI responses with context by retrieving and processing documentation through vector search.
Enables semantic analysis of chat conversations through vector embeddings and knowledge graphs.