# Pinecone Vector DB

> Use this tool when you need to integrate AI capabilities with efficient vector search for retrieval-augmented generation applications, such as semantic search, document retrieval, and knowledge augmentation. It solves problems like real-time information access and domain-specific knowledge retrieval, taking in natural language inputs and outputting relevant documents or information. Ideal for building question-answering systems, chatbots, and AI-powered research assistants that require up-to-date information from large document collections.

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

## Description

This MCP server, developed by sirmews, enables AI assistants like Claude to interact with Pinecone vector databases for retrieval-augmented generation (RAG) applications. Built with Python, it provides tools for semantic search, document retrieval, and document upsert operations on Pinecone indexes. The implementation stands out by leveraging Pinecone's inference API for embedding generation, simplifying the architecture. By connecting AI capabilities with Pinecone's efficient vector search, this server allows AI systems to augment their knowledge with relevant information from large document collections. It is particularly useful for building AI applications that require real-time access to up-to-date information, such as question-answering systems, chatbots with domain-specific knowledge, or AI-powered research assistants.

## Trust

- **Trust score (0–1):** 0.85
- **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/sirmews-pinecone)
- **Repository:** <https://github.com/sirmews/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": "sirmews-pinecone"
    }
  }
}
```

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