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DimensionPinecone MCP ServerConnect your Pinecone projects to Cursor, Claude, and other AI assistantsDBHubBytebase's official, minimalist two-tool database MCP server
FMRS46 / 100 · D74 / 100 · B
Reliability5 / 2013 / 20
Security and permissions8 / 2013 / 20
Maintenance9 / 2016 / 20
Documentation12 / 2015 / 20
Setup experience12 / 2017 / 20
Best for
  • Developers who use Pinecone as part of their technology stack.
  • Users who want to manage Pinecone projects and indexes from within AI coding assistants.
  • Those needing to interact with Pinecone documentation or generate code based on configuration.
  • Scenarios wanting the smallest possible tool count and lowest context-window overhead for database access
  • Cases needing to grant non-technical teammates safe, read-only database access
Not for
  • Users working with indexes without integrated inference, or requiring standalone embeddings, vector search, or assistant features.
  • Scenarios where you need to provide AI assistants with context from your knowledge base (use Pinecone's Assistant MCP for that).
  • Non-developer use cases or non-coding assistant environments.
  • Scenarios needing database administration operations (creating indexes, altering schema) rather than just querying (DBHub is positioned as a query tool, not a DBA management tool)
Required permissions
  • Requires a PINECONE_API_KEY environment variable to access your Pinecone project.
  • Allows AI tools to create, list, describe, and delete indexes (actions depend on tool set).
  • Allows upserting and searching records, as well as cross-index search and reranking operations.
  • Allows searching official Pinecone documentation (no API key needed).
  • Requires a database connection string (DSN), which may contain sensitive credentials
  • execute_sql can run arbitrary SQL (including writes) by default — must be constrained via read-only mode or the underlying database account's own permissions
Risks and side effects
  • API key exposure: ensure the key is kept secure and not committed to version control.
  • Misoperations: AI assistants may accidentally create, modify, or delete indexes; authorize carefully.
  • Cost implications: index operations and data usage may incur charges; monitor usage.
  • Network dependency: requires access to api.pinecone.io; may fail behind firewalls.
  • Under default settings, if the connected database account has write access, execute_sql could let the assistant perform an unintended write or delete — pair with a read-only database account in production
  • The DSN contains a plaintext password — pay attention to the access permissions on wherever the config is stored
Supported clientsCursor, Claude Desktop, Gemini CLIClaude Desktop, Claude Code, VS Code, Cursor, Zed
Tools92