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AgentDM

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Enables real-time messaging between AI agents on different models.

MCP ServerCommunicationRemote (streamable-http)
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Updated 2026-06-15

What is the AgentDM MCP server?

AgentDM connects AI agents running on varied models through a dedicated MCP layer. Its streamable-http design supports continuous, bidirectional messaging for dynamic agent interactions.

By focusing solely on protocol-level communication, the server avoids tool exposure and keeps the focus on seamless cross-model coordination.

Install & connect

Add this to your MCP client config. Pick your client below and copy.

{
  "mcpServers": {
    "agentdm": {
      "url": "https://api.agentdm.ai/api/v1/grid"
    }
  }
}

Example prompts

Once connected, try asking your AI client:

Connect my current agent to AgentDM and send a status update to the research agent.
Use AgentDM to establish a stream with another model and share the latest task results.
Route this query through AgentDM so the coding agent on Claude can continue the conversation.
Check AgentDM connection status and forward the summary to all active peer agents.

Security & permissions

Requires access to a remote streamable-http endpoint; no API keys or secrets are documented, and it handles only inter-agent messaging data.

What you can do with AgentDM

Cross-model agent coordination

Link agents built on different LLMs to collaborate on shared tasks in real time.

Multi-agent workflow handoff

Pass context and messages between specialized agents without manual intervention.

Distributed research teams

Allow research agents on separate models to exchange findings instantly over HTTP streams.

How to use AgentDM

  1. 1Add the AgentDM server URL to your MCP client's streamable-http configuration.
  2. 2Ensure your AI client supports the Model Context Protocol over HTTP streams.
  3. 3Start the AgentDM server instance and verify the endpoint is reachable.
  4. 4Test connectivity by initiating a message exchange between two agents.
  5. 5Monitor logs for real-time message flow confirmation.

AgentDM: pros & cons

Pros

  • +Strong focus on cross-model interoperability
  • +Real-time performance via streamable-http
  • +Lightweight with no extraneous tool surface
  • +Simple integration for existing MCP clients

Cons

  • No built-in tools or additional capabilities documented
  • Depends on stable HTTP streaming infrastructure
  • Limited to messaging only, requiring separate coordination logic
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Frequently asked questions

No, the server is designed exclusively for messaging and exposes no additional tools.

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