Pinecone
Let your agent create and manage Pinecone vector indexes, backups, and collections while you wire RAG or semantic search into the product.
Overview
com.mcparmory/pinecone is an MCP server for the Build phase that creates and manages Pinecone vector indexes, backups, and collections.
What is this MCP server?
- Create and configure vector database indexes from agent sessions
- Manage backups for production-minded RAG deployments
- Organize data in collections aligned with Pinecone projects
- PyPI package mcparmory-pinecone 1.0.2 via uvx stdio
- Docker alternative: ghcr.io/mcparmory/pinecone:1.0.2
- Version 1.0.2
- 2 packages: PyPI uvx and OCI Docker
- Manages indexes, backups, and collections
Community signal: 25 GitHub stars.
What problem does it solve?
Manually clicking through Pinecone consoles breaks flow when your agent is already writing the app that needs vector search.
Who is it for?
Indie builders shipping semantic search or agent memory on Pinecone who want infra changes co-located with coding.
Skip if: Builders still exploring ideas with no vector store plan or those on fully local embeddings-only stacks with no Pinecone account.
What do I get? / Deliverables
Indexes, backups, and collections can be provisioned and adjusted via MCP tools while you integrate RAG into the codebase.
- Provisioned Pinecone indexes and collections
- Backup operations triggered from the agent
- Integration-ready vector store for app RAG
Recommended MCP Servers
Journey fit
Build is the right phase because Pinecone MCP operationalizes infrastructure—indexes and collections—during implementation, not during initial ideation. Integrations is the shelf: the server talks to a hosted vector database API rather than replacing frontend or test workflows.
How it compares
Hosted vector DB MCP integration, not a web search or embedding-only server.
Common Questions / FAQ
Who is com.mcparmory/pinecone for?
Developers building RAG or semantic features who want MCP-driven Pinecone index and collection management from their coding agent.
When should I use com.mcparmory/pinecone?
Use it during Build when you are wiring Pinecone into your app and need the agent to create or maintain indexes and backups.
How do I add com.mcparmory/pinecone to my agent?
Configure stdio MCP with uvx mcparmory-pinecone 1.0.2 or the Docker image, and provide Pinecone API credentials in your client environment.