by sirmews
Model Context Protocol server to allow for reading and writing from Pinecone. Rudimentary RAG
# Add to your Claude Code skills
git clone https://github.com/sirmews/mcp-pineconeRead and write to a Pinecone index.
flowchart TB
subgraph Client["MCP Client (e.g., Claude Desktop)"]
UI[User Interface]
end
subgraph MCPServer["MCP Server (pinecone-mcp)"]
Server[Server Class]
subgraph Handlers["Request Handlers"]
ListRes[list_resources]
ReadRes[read_resource]
ListTools[list_tools]
CallTool[call_tool]
GetPrompt[get_prompt]
ListPrompts[list_prompts]
end
subgraph Tools["Implemented Tools"]
SemSearch[semantic-search]
ReadDoc[read-document]
ListDocs[list-documents]
PineconeStats[pinecone-stats]
ProcessDoc[process-document]
end
end
subgraph PineconeService["Pinecone Service"]
PC[Pinecone Client]
subgraph PineconeFunctions["Pinecone Operations"]
Search[search_records]
Upsert[upsert_records]
Fetch[fetch_records]
List[list_records]
Embed[generate_embeddings]
end
Index[(Pinecone Index)]
end
%% Connections
UI --> Server
Server --> Handlers
ListTools --> Tools
CallTool --> Tools
Tools --> PC
PC --> PineconeFunctions
PineconeFunctions --> Index
%% Data flow for semantic search
SemSearch --> Search
Search --> Embed
Embed --> Index
%% Data flow for document operations
UpsertDoc --> Upsert
ReadDoc --> Fetch
ListRes --> List
classDef primary fill:#2563eb,stroke:#1d4ed8,color:white
classDef secondary fill:#4b5563,stroke:#374151,color:white
classDef storage fill:#059669,stroke:#047857,color:white
class Server,PC primary
class Tools,Handlers secondary
class Index storage
The server implements the ability to read and write to a Pinecone index.
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.Note: embeddings are generated via Pinecone's inference API and chunking is done with a token-based chunker. Written by copying a lot from langchain and debugging with Claude.
To install Pinecone MCP Server for Claude Desktop automatically via [Smi...