# Maton

> Use this tool when you need to integrate agents with external services and data sources, enabling seamless interaction and data exchange. Maton solves problems related to agent communication and data access, providing a standardized protocol for information exchange. It accepts input from agents and outputs data from external sources, ideal for use cases requiring dynamic data retrieval and service integration.

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

## Description

A TypeScript implementation of the Model Context Protocol (MCP) for the Maton Agent Toolkit, enabling agents to interact with external services and data sources.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/maton)
- **Repository:** <https://github.com/maton-ai/agent-toolkit/tree/HEAD/modelcontextprotocol>

## 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": "maton"
    }
  }
}
```

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