# people-mcp

> people-mcp — olegnickeshin-people-mcp. Use this tool when you need to discover and connect with people, projects, and AI agents semantically, leveraging an open MCP server to facilitate collaboration and knowledge sharing. It solves problems of networking, project matching, and AI agent integration by providing a platform for semantic discovery. The people-mcp tool accepts git inputs and outputs relevant connections and collaborations, ideal for use cases involving open-source projects and multi-agent systems.

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

## Description

Open MCP server for semantic discovery of people, projects and AI agents.

## Trust

- **Trust score (0–1):** 0.54
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/OlegNickeshin/people-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": "olegnickeshin-people-mcp"
    }
  }
}
```

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