# Pinecone MCP Server

> Use this tool when you need to integrate Claude Desktop with Pinecone using the Model Context Protocol, enabling seamless read and write operations. It solves problems related to model management and data exchange between these platforms. This tool accepts inputs from Claude Desktop and outputs data to Pinecone, ideal for use cases requiring model synchronization and collaborative development.

Canonical page: https://skillsregistry.net/skills/mcp-pinecone  
JSON: https://api.skillsregistry.net/v1/skills/mcp-pinecone

## Description

Read and write to Pinecone from Claude Desktop using the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/mcp-pinecone)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "mcp-pinecone"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mcp-pinecone` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mcp-pinecone/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt