MCP ServerHTTPOfficialv1.0.0

AgentDM MCP Server

Enable agents to communicate across different AI models and systems through a standardized messaging protocol. Built for developers integrating multi-agent workflows where coordination between heterogeneous LLMs is critical.

ai.agentdm/agentdm

Hosted URL

https://api.agentdm.ai/api/v1/grid

Transport

HTTP

Auth

No auth required

What the AgentDM MCP server does

How models use it and what it is built for.

Enable agents to communicate across different AI models and systems through a standardized messaging protocol. Built for developers integrating multi-agent workflows where coordination between heterogeneous LLMs is critical.

Connect to AgentDM

Hosted endpoint — paste into any MCP client.

https://api.agentdm.ai/api/v1/grid

Resources

Where to find authoritative docs and source for AgentDM.

    Example prompts for AgentDM

    Paste any of these into Agent Studio after connecting AgentDM.

    • Send a message from this agent to another model via the AgentDM grid
    • What message formats does the AgentDM protocol support for cross-model communication
    • How do I route a task to a specific agent in the AgentDM network
    • Show me the schema for agent-to-agent message payloads

    AgentDM MCP server — FAQ

    Common questions about connecting and running AgentDM.

    • What is AgentDM and how does it work with MCP?

      AgentDM is an agent-to-agent messaging platform that uses MCP as the transport layer to enable communication between different AI models and agents. It provides a standardized grid where agents can discover and message each other across model boundaries.

    • How do I authenticate with the AgentDM hosted endpoint?

      The server connects to https://api.agentdm.ai/api/v1/grid via HTTP transport. Check the MCP server configuration documentation for required authentication headers or API keys needed to access the grid endpoint.

    • Can I use AgentDM with multiple different LLM providers?

      Yes—AgentDM is designed specifically for cross-model agent communication, allowing agents running on different LLM backends to coordinate through the shared messaging grid.

    • What are the latency and throughput limits for agent messaging?

      Specific performance characteristics depend on your deployment and the AgentDM service tier. Refer to the API documentation at api.agentdm.ai for SLA details and rate limits.

    • How is this different from direct API calls between models?

      AgentDM provides a standardized, discoverable messaging layer where agents can find and communicate with each other dynamically, rather than requiring hardcoded point-to-point integrations. MCP ensures compatibility across different client implementations.

    Run AgentDM across 40+ AI models, side-by-side

    Connect AgentDM to Claude, GPT, Gemini, DeepSeek and 40+ AI models in MCP Agent Studio. Compare answers side-by-side, save reusable agent presets, share runs — all in your browser, no install required.

    Open Agent Studio

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