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Pinecone MCP, CLI, and Lua Integration for AI Agents

Pinecone integration docs for AI agents: MCP gateway setup, Pinecone CLI commands, Lua API reference, credentials, and function schemas.

Pinecone for agents

Credentials can be configured manually in web or CLI hosts.

Use this integration from Lua code mode, the headless integrations CLI, or the KosmoKrator MCP gateway. The same package metadata powers all three surfaces.

Agent Surfaces

Pinecone CLIHeadless setup, JSON output, direct function calls. Pinecone MCPExpose selected tools to local MCP clients. Pinecone LuaAgent-facing namespace and Lua reference. FeedbackReport missing tools, auth issues, or bad metadata.

Machine-Readable Metadata

integration_slug
pinecone
route_slug
pinecone
package
pinecone
auth_strategy
api_key
cli_setup_supported
true
cli_runtime_supported
true
mcp_gateway_supported
true
lua_supported
true

Function Catalog

FunctionTypeParametersDescription
pinecone.pinecone_list_indexes Read read 0 List all vector indexes in your Pinecone project. Returns index names, dimensions, metrics, and status.
pinecone.pinecone_get_index Read read 1 Get detailed information about a specific Pinecone vector index, including its dimension, metric, host URL, and status.
pinecone.pinecone_create_index Write write 5 Create a new serverless vector index in Pinecone. Specify the index name, vector dimension, and similarity metric (cosine, euclidean, or dotproduct).
pinecone.pinecone_configure_index Write write 2 Configure an existing Pinecone index, such as deletion protection, tags, or supported scaling settings.
pinecone.pinecone_delete_index Write write 1 Delete a Pinecone index by name. Deletion protection must be disabled on the index first.
pinecone.pinecone_upsert_vectors Write write 3 Upsert vectors into a Pinecone index using an index host URL.
pinecone.pinecone_query_vectors Read read 7 Search for similar vectors in a Pinecone index using a query embedding.
pinecone.pinecone_fetch_vectors Read read 3 Fetch vectors by ID from a Pinecone index namespace.
pinecone.pinecone_update_vector Write write 8 Update vector values, sparse values, metadata, or filtered metadata in a Pinecone namespace.
pinecone.pinecone_delete_vectors Write write 5 Delete vectors from a Pinecone namespace by IDs, metadata filter, or delete_all flag.
pinecone.pinecone_describe_index_stats Read read 2 Describe vector count, dimensions, and namespace statistics for a Pinecone index.
pinecone.pinecone_list_collections Read read 0 List all collections in your Pinecone project. Collections are static snapshots of indexes used for backups or creating new indexes.