Dual-Mode Architecture
Choose between HTTP servers for distributed systems or in-process execution for maximum performance. Same API, different deployment.
Build intelligent LLM agents that orchestrate tools using the Model Context Protocol. Dual-mode architecture with HTTP and in-process execution.
Or use our open source libraries (Python and TypeScript)
pip install polymcp
Everything you need to build intelligent agents
Choose between HTTP servers for distributed systems or in-process execution for maximum performance. Same API, different deployment.
Generate Python code instead of multiple tool calls. Benchmarks show 60% faster execution and 68% lower token usage.
Works with OpenAI, Anthropic, Ollama, DeepSeek, and Kimi. Bring your own LLM or use local models.
Connect to HTTP MCP servers and stdio-based servers like @playwright/mcp, @modelcontextprotocol/server-filesystem, and any other stdio MCP server. Mix and match seamlessly.
Multi-step reasoning with persistent memory and intelligent tool orchestration. Agents that think and act.
Execute LLM-generated code safely in a controlled environment with timeout protection and resource limits.
Drag the slider to compare traditional approach vs PolyMCP
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