# pinecone-claude-code-plugin

**Repository Path**: aicoder1/pinecone-claude-code-plugin

## Basic Information

- **Project Name**: pinecone-claude-code-plugin
- **Description**: clone from https://github.com/pinecone-io/pinecone-claude-code-plugin.git
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2026-01-26
- **Last Updated**: 2026-01-26

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Pinecone Plugin for Claude Code

A lightweight plugin that integrates [Pinecone](https://www.pinecone.io/) vector database capabilities directly into Claude Code, enabling semantic search, index management, and RAG (Retrieval Augmented Generation) workflows.

## Features

- **Pinecone MCP Server** – Full integration with the Pinecone Model Context Protocol server for index creation, listing, searching, and more
- **Slash Commands** – Quick access to common Pinecone operations directly from Claude Code
- **Semantic Search** – Query your vector indexes using natural language

## Installation

### Option A: Claude Code Plugins Directory (Recommended)

Install from the [official Claude Code Plugins Directory](https://github.com/anthropics/claude-plugins-official):

1. Install the plugin:
   ```
   /plugin install pinecone
   ```

2. Restart Claude Code to activate the plugin.

---

### Option B: Pinecone Marketplace

Alternatively, install directly from the Pinecone marketplace:

1. Add the Pinecone plugin marketplace:
   ```
   /plugin marketplace add pinecone-io/pinecone-claude-code-plugin
   ```

2. Install the plugin:
   ```
   /plugin install pinecone@pinecone-claude-code-plugin
   ```

3. When prompted, select your preferred installation scope:
   - **User scope** (default) – Available across all your projects
   - **Project scope** – Shared with your team via version control
   - **Local scope** – Project-specific, not shared (gitignored)

4. Restart Claude Code to activate the plugin.

---

### Set Your API Key

After installing via either method, configure your Pinecone API key before running Claude Code:

```bash
export PINECONE_API_KEY="your-api-key-here"
```

> **Don't have a Pinecone account?** Sign up for free at [app.pinecone.io](https://app.pinecone.io/?sessionType=signup)

### Optional: Install the Pinecone CLI

For additional command-line capabilities, install the Pinecone CLI:

```bash
brew tap pinecone-io/tap
brew install pinecone-io/tap/pinecone
```

## Available Commands

### `/pinecone:help`

Display help information about the plugin, including:
- Available functionality
- API key configuration
- Troubleshooting tips

Run this when first installing the Plugin, then proceed to the quickstart.

### `/pinecone:quickstart`

Get started quickly with Pinecone! This command:
1. Downloads and generates an AGENTS.md file, optimized for use with Claude Code and Pinecone
2. Walks you through a Python quickstart tutorial
3. Helps you create your first index and perform semantic searches

### `/pinecone:query`

Query your Pinecone indexes using natural language. This command wraps the Pinecone MCP server for easy searching of integrated indexes.
Most useful when you already have an integrated index created, and want to query it quickly from Claude.

**Usage:**
```
/pinecone:query query [your search text] index [indexName] namespace [ns] reranker [rerankModel]
```

**Parameters:**
| Parameter | Required | Description |
|-----------|----------|-------------|
| `query` | Yes | The text to search for |
| `index` | Yes | The name of the Pinecone index to search |
| `namespace` | No | The namespace within the index |
| `reranker` | No | The reranking model to use for improved relevance |

If you omit required arguments, the command will interactively guide you through selecting available indexes and namespaces.

> **Note:** The `/query` command currently only works with integrated indexes that use Pinecone's hosted embedding models. Third-party embedding models (OpenAI, HuggingFace, etc.) are not yet supported.



## MCP Server Tools

The plugin includes the full Pinecone MCP Server with the following tools:

| Tool | Description |
|------|-------------|
| `list-indexes` | List all available Pinecone indexes |
| `describe-index` | Get index configuration and namespaces |
| `describe-index-stats` | Get statistics including record counts and namespaces |
| `search-records` | Search records with optional metadata filtering and reranking |
| `create-index-for-model` | Create a new index with integrated embeddings |
| `upsert-records` | Insert or update records in an index |
| `rerank-documents` | Rerank documents using a specified reranking model |

For complete MCP server documentation, visit: [Pinecone MCP Server Guide](https://docs.pinecone.io/guides/operations/mcp-server)

## Troubleshooting

### "API Key not found" or access errors

Make sure your `PINECONE_API_KEY` environment variable is set correctly:

```bash
echo $PINECONE_API_KEY
```

If it's empty, set it and restart Claude Code.

### MCP server not responding

1. Ensure you have Node.js installed (the MCP server runs via `npx`)
2. Check that your API key is valid
3. Restart Claude Code after setting environment variables

### Query command not working with my index

The `/query` command only works with **integrated indexes** that use Pinecone's hosted embedding models. If you're using external embedding providers (OpenAI, HuggingFace, etc.), you'll need to use the MCP tools directly or wait for expanded support.

## Keywords

`pinecone` · `semantic search` · `vector search` · `vector database` · `retrieval` · `RAG` · `agentic RAG` · `sparse search`

## License

MIT License – see [LICENSE](./LICENSE) for details.


**Have fun and enjoy developing with Pinecone!** 🌲