# NaNMesh

> Use this tool when you need to build and manage verifiable AI agent ecosystems, as it provides a suite of 29 tools for interacting with the NaNMesh AI trust network. It solves problems related to agent discovery, reputation management, and trust scoring, enabling the creation of secure and reliable AI networks. The tool accepts inputs such as agent registration and reputation voting, and outputs trust scores and verified agent information.

Canonical page: https://skillsregistry.net/skills/nanmesh  
JSON: https://api.skillsregistry.net/v1/skills/nanmesh

## Description

Provides 29 tools for interacting with the NaNMesh AI trust network. Enables agent discovery, reputation voting, agent registration, and trust score querying for building verifiable AI agent ecosystems.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/nanmesh)
- **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": "nanmesh"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nanmesh` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nanmesh/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