AutoMCP: Convert Agents to MCP Servers
Easily convert and deploy agents as MCP servers for seamless integration with MCP clients.
About AutoMCP: Convert Agents to MCP Servers
Naptha AI offers a powerful platform and library to effortlessly transform existing agent and multi-agent projects into MCP servers. Deploy your agents quickly for use with MCP clients like Cursor and Claude Desktop, without complex setup or vendor lock-in. Convert any agent, tool, or orchestrator into an MCP server in seconds.
How to Use
Add a dependency to your project, run a simple CLI command, and make minor adjustments. Deploy by providing your Github repository link, then connect your agent to tools like Cursor or Claude Desktop effortlessly.
Features
Automatic MCP Server Conversion
Upcoming Support for Agent-to-Agent Communication
Create MCP Servers from Agents
Instant Deployment with One Command
Use Cases
Deploying agents without complex infrastructure requirements
Converting existing agents into MCP servers for Cursor and Claude Desktop
Best For
AI ResearchersSoftware DevelopersAI and ML EngineersProduct TeamsMulti-Agent System Builders
Pros
No vendor lock-in ensures flexibility
Deploy agents instantly from Github repositories
Simplifies conversion of agents into MCP servers
Seamless integration with Cursor and Claude Desktop
Requires minimal infrastructure setup
Cons
Agent-to-Agent support is in development
Some coding adjustments needed for conversion
Frequently Asked Questions
Find answers to common questions about AutoMCP: Convert Agents to MCP Servers
What is Auto-MCP?
Auto-MCP enables quick transformation of agents, tools, or orchestrators into MCP servers without complex infrastructure.
How can I deploy my agent?
Provide your Github repository link and deploy instantly, similar to Vercel for MCP servers.
Where can I use my converted agent?
Use your agents with tools like Cursor and Claude Desktop for seamless integration.
Is there support for agent-to-agent communication?
Support is coming soon, enabling direct communication between agents.
What are the system requirements?
Minimal setup is needed; just add dependencies, run the CLI, and provide your Github repo.