You've got tools. Good tools. Tools that took years to build and tested against production loads. You don't want to rewrite them for MCP — you want them to work with the new protocol so your agents can use them. Mcporter is the translation layer that wraps your existing CLI tools, HTTP APIs, and Python scripts into MCP-compatible servers without code changes.
10-Second Pitch
- Zero-Rewrite MCP Wrapping: Point Mcporter at your existing binary or API endpoint and get a conforming MCP server.
- Tool Schema Auto-Inference: Reads your tool's help output, OpenAPI spec, or docstrings to infer the MCP tool schema automatically.
- Bidirectional Protocol Translation: Handles both MCP's request/response and streaming notification patterns.
- Hot-Reload Config: Update your tool definitions without restarting the MCP server.
Setup Directions
- Install:
pip install mcporter - Create a bridge config:
mcporter init - Point to your tool:
mcporter add --name mytool --command "./my-binary --json-output" - Start the MCP bridge:
mcporter serve --port 9090 - Your agent can now call
mcp::mytoollike any native MCP tool.
Pros/Cons
| Pros | Cons |
|---|---|
| Leverage existing battle-tested tools in MCP workflows | Not all CLI tools map cleanly to MCP's tool schema |
| No code changes required to your legacy systems | Performance overhead from the translation layer |
| Fastest path to growing your MCP tool registry | Debugging protocol translation errors can be tricky |
Verdict: Mcporter is the pragmatic choice when you want MCP compatibility without a rewrite. If you've got tools that work and agents that need them, this bridge earns its place in your stack.