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MCP server for the RunAgents AI agent platform

Project description

RunAgents MCP Server

Model Context Protocol server for the RunAgents AI agent platform. Gives AI coding assistants (Claude Code, Cursor, Codex) direct access to deploy agents, manage tools, monitor runs, and handle approvals.

Install

pip install runagents-mcp

Configure

Claude Code

Add to your settings.json or project .mcp.json:

{
  "mcpServers": {
    "runagents": {
      "command": "runagents-mcp",
      "env": {
        "RUNAGENTS_ENDPOINT": "https://YOUR_WORKSPACE.try.runagents.io",
        "RUNAGENTS_API_KEY": "YOUR_API_KEY",
        "RUNAGENTS_NAMESPACE": "default"
      }
    }
  }
}

Cursor

Add to .cursor/mcp.json:

{
  "mcpServers": {
    "runagents": {
      "command": "runagents-mcp",
      "env": {
        "RUNAGENTS_ENDPOINT": "https://YOUR_WORKSPACE.try.runagents.io",
        "RUNAGENTS_API_KEY": "YOUR_API_KEY",
        "RUNAGENTS_NAMESPACE": "default"
      }
    }
  }
}

Configuration

The server reads configuration from environment variables, falling back to ~/.runagents/config.json (shared with the RunAgents CLI):

Variable Description Default
RUNAGENTS_ENDPOINT Platform API URL http://localhost:8092
RUNAGENTS_API_KEY API key or workspace key
RUNAGENTS_NAMESPACE Target namespace default

Tools

Tool Description Type
list_agents List all deployed agents Read
get_agent Get details for a specific agent Read
list_tools List registered tools Read
list_models List model providers Read
list_runs List agent runs Read
get_run_events Get events for a specific run Read
export_context Export full workspace context Read
analyze_code Analyze source code for tool and LLM usage Read
deploy_agent Deploy an agent from source code or image Mutate
create_tool Register a new tool Mutate
validate_plan Validate an action plan before applying Read
apply_plan Apply a validated action plan Mutate
approve_request Approve a pending access request Mutate
seed_starter_kit Create demo tools and model provider Mutate

Documentation

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