# io.github.sacravenger/nanmesh-mcp

> Use this tool when you need to vet software recommendations by checking trust scores and reviews. It provides 12 tools for AI agents to assess the credibility of software tools, solving problems of unreliable recommendations and potential security risks. With input of software tool information and output of trust scores and reviews, this tool is ideal for use cases where informed decision-making is crucial.

Canonical page: https://skillsregistry.net/skills/io-github-sacravenger-nanmesh-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-sacravenger-nanmesh-mcp

## Description

12 tools that let AI agents check trust scores and reviews before recommending any software tool.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 3.1.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.sacravenger%2Fnanmesh-mcp)
- **Repository:** <https://github.com/NaNMesh/nanmesh-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": "io-github-sacravenger-nanmesh-mcp"
    }
  }
}
```

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