# mcp-pinecone

> Use this tool when you need to perform semantic search, manage documents, or retrieve statistics from a vector index. It enables reading and writing to a Pinecone vector index, solving problems related to information retrieval and document management. The tool accepts input queries and documents, and outputs relevant search results, document updates, and statistical insights.

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

## Description

Enables reading and writing to a Pinecone vector index, including semantic search, document management, and stats retrieval.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mrqluwyngj)
- **Repository:** <https://github.com/fastmcp-me/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": "fastmcp-me-mcp-pinecone"
    }
  }
}
```

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