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    For the complete documentation index, see llms.txt. Markdown versions of all docs pages are available by appending .md to any docs URL.

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    MCP clients
    Connect AI coding assistants and tools to agentgateway
    Configure popular AI coding assistants and tools to use agentgateway as their MCP server.
    Before you begin

    1. Install and run agentgateway.
    2. Confirm agentgateway is up by opening the agentgateway UI.
    3. Use the MCP endpoint http://localhost:3000/mcp/http to connect your client to agentgateway. If you run agentgateway on a different host or port, replace localhost:3000 in the examples accordingly.
    Note
    Multiplexed tool names: If your agentgateway backend routes to more than one Virtual MCP target, agentgateway namespaces each tool and prompt name with its target name by default, for example time_get_current_time. When you add a second target, tools in your client’s tool list might get new names because of this prefixing. Control it with the prefixMode field; see Tool name prefixing for the available modes.
    Claude
    Connect Claude Desktop and Claude Code to agentgateway
    Cursor
    Connect Cursor IDE to agentgateway
    OpenCode
    Connect OpenCode to agentgateway
    Devin Desktop
    Connect Devin Desktop to agentgateway
    VS Code
    Connect VS Code with GitHub Copilot to agentgateway
    Antigravity IDE
    Connect Antigravity IDE to agentgateway
    LLM providersMCP servers
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Agentgateway assistant
    


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    Note: AI-generated content might contain errors; please verify and test all returned information.
    Tip: one topic per conversation gives the best results. Use the + button in the chat header to start a new conversation.
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