Most cost tools require code wrappers or dashboard checking. AgentCostPilot takes a different approach: agents connect to us, not the other way around.
What is MCP?
Model Context Protocol is an open standard letting AI agents connect to external tools. Think USB for AI — works across Claude, GPT, Gemini, LangChain, CrewAI, AutoGen. AgentCostPilot runs an MCP server with cost-aware tools.
How it works
Before an expensive call, the agent calls acp_check_budget to see remaining budget. If low, the tool returns a recommended cheaper model. The agent switches automatically.
After each call, acp_report_usage sends token counts, model used, and task type. This builds real-time cost attribution — not batch API polling.
If budget is exceeded and kill switch is enabled, acp_check_limits returns a block signal. The agent gracefully shuts down or switches to cached responses.
Setup in 2 minutes
Add the ACP MCP server to your agent config file. One API key, one URL, five tools available instantly. For Claude Desktop: claude_desktop_config.json. For LangChain: tool registration. For CrewAI: crew config.
Why this matters
SDK wrappers need code changes. Dashboards need human attention. MCP Server gives agents autonomous cost governance. It's the difference between checking your bank balance online vs your wallet telling you when you're running low.