# com.mcparmory/pinecone

> Use this tool when you need to efficiently manage and query large datasets of dense vectors, solving problems such as similarity search, data retrieval, and machine learning model deployment. It creates and manages vector database indexes, backups, and collections, accepting vector data as input and outputting query results and index metadata. Ideal for use cases requiring fast and scalable vector similarity search and data management.

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

## Description

Create and manage vector database indexes, backups, and collections

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.mcparmory%2Fpinecone)
- **Repository:** <https://github.com/mcparmory/registry>

## 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": "com-mcparmory-pinecone"
    }
  }
}
```

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