Reference for the Pinecone MCP server tools. Documents all available tools – list-indexes, describe-index, describe-index-stats, create-index-for-model, upsert-records, search-records, cascading-search, and rerank-documents.
Reference for the Pinecone MCP server tools. Documents all available tools - list-indexes, describe-index, describe-index-stats, create-index-for-model, upsert-records, search-records, cascading-search, and rerank-documents.This is the skill's description: the text your AI reads to decide when the skill applies.
pinecone-pinecone-mcp/SKILL.md
---
name: pinecone-mcp
description: Reference for the Pinecone MCP server tools. Documents all available tools - list-indexes, describe-index, describe-index-stats, create-index-for-model, upsert-records, search-records, cascading-search, and rerank-documents. Use when an agent needs to understand what Pinecone MCP tools are available, how to use them, or what parameters they accept.
---
# Pinecone MCP Tools Reference
The Pinecone MCP server exposes the following tools to AI agents and IDEs. For setup and installation instructions, see the [MCP server guide](https://docs.pinecone.io/guides/operations/mcp-server#tools).
> **Key Limitation:** The Pinecone MCP only supports **integrated indexes** — indexes created with a built-in Pinecone embedding model. It does not work with standard indexes using external embedding models. For those, use the Pinecone CLI.
---
## `list-indexes`
List all indexes in the current Pinecone project.
---
## `describe-index`
Get configuration details for a specific index — cloud, region, dimension, metric, embedding model, field map, and status.
**Parameters:**
- `name` (required) — Index name