# mcp-mesh

> mcp-mesh — pipeworx-io-mcp-mesh. Use this tool when you need to manage and utilize Medical Subject Headings (MeSH) for categorization and retrieval of biomedical information, solving problems related to data organization and search in medical research. It provides an interface for interacting with the NLM MeSH database, accepting inputs such as search terms and returning outputs like relevant MeSH headings. Ideal for use in biomedical research and data analysis contexts where standardized vocabulary is essential.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-mesh  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-mesh

## Description

NLM MeSH (Medical Subject Headings) MCP.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-26

## Source

- **Source listing:** [GitHub](https://github.com/pipeworx-io/mcp-mesh)

## 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": "pipeworx-io-mcp-mesh"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-mesh` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-mesh/pull`

---
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
