# Pinecone Developer (Vector Database)

> Use this tool when you need to interact with vector databases and perform operations like searching, indexing, and managing semantic data within AI applications. It solves problems related to efficient data retrieval and management, enabling developers to embed and search vector databases seamlessly. The tool takes in a Pinecone API key and supports stdio and SSE transport methods, outputting search results and validation messages.

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

## Description

Pinecone Developer MCP Server enables AI assistants to interact with Pinecone vector database services through a TypeScript implementation. It provides tools for searching Pinecone documentation, managing indexes, and performing vector search operations including creating indexes with integrated inference, upserting records, searching across multiple indexes, and reranking results. The server supports both stdio and SSE transport methods, requires a Pinecone API key for database operations, and includes robust error handling with detailed validation messages. Particularly valuable for developers working with vector databases who need to embed, search, and manage semantic data within their AI applications.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/pinecone-vector-database)
- **Repository:** <https://github.com/pinecone-io/pinecone-mcp>

## 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": "pinecone-vector-database"
    }
  }
}
```

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

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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