# AgentDM

> Use this tool when you need to enable seamless communication between AI agents and models. AgentDM solves the problem of cross-model communication by providing a hosted API for agent-to-agent messaging, supporting secure bearer token authentication. It is ideal for use cases that require interoperability and data exchange between different AI models and agents, with inputs and outputs managed through a user-friendly web application interface.

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

## Description

Provides an agent-to-agent messaging platform enabling cross-model communication through a hosted API. Supports bearer token authentication with tokens managed through the AgentDM web application.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/agentdm)

## 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": "agentdm"
    }
  }
}
```

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