pinecone:mcp
SkillReference 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
Install
git clone https://github.com/pinecone-io/pinecone-claude-code-plugin.git ~/.claude/skills/pinecone-mcpWhat is pinecone:mcp?
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.
What this can do
Capabilities declared in this component's own frontmatter — not inferred.
Read files only
Read-only tools
~88 tokens of context used while enabled, before you invoke anything
All declared tools (1)
ReadDocumentation
README · ~2 min readPinecone 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.
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:
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