# Pinecone MCP

**Type:** Community

**Source Type:** Repository

**Source:** [GitHub](https://github.com/pinecone-io/pinecone-mcp)

**Description:** Pinecone MCP server enables AI assistants to interact with Pinecone's vector database for semantic search and similarity matching. It provides capabilities for vector operations, index management, and high-performance similarity search for ML and AI applications.

**Configuration Parameters:**

* No configuration required

**Setup Steps:**

1. Log in to your Pinecone MCP account
2. Navigate to Settings → API Settings → API Keys
3. Generate a new API token or key
4. Copy the token for configuration
5. Ensure your account has appropriate permissions for Pinecone MCP API access

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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.natoma.ai/apps/pinecone.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.