# Registry MCP

> Registry MCP — slolab-registry-mcp. Use this tool when you need to register and manage biomedical resources, such as MCP servers and knowledge graph components, to facilitate discovery and integration with other tools. The Registry MCP assists in registering these resources to the BioContextAI registry, solving problems of resource discovery and interoperability. It accepts information about biomedical tools and servers as input and provides registration and management capabilities as output.

Canonical page: https://skillsregistry.net/skills/slolab-registry-mcp  
JSON: https://api.skillsregistry.net/v1/skills/slolab-registry-mcp

## Description

A Model Context Protocol server for assisting users in registering their MCP servers, knowledge graph components, and other biomedical tools to the BioContextAI registry.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/m3vnki6sou)
- **Repository:** <https://github.com/slolab/registry-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": "slolab-registry-mcp"
    }
  }
}
```

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