mcp-builder-mcp
Provides OpenAPI validation and analysis tools to assist developers in building Model Context Protocol servers. It generates developer context and specific agent prompts based on API specifications to streamline the creation of agentic workflows.
README
mcp-server-demo
MCP server with OpenAPI validation and analysis tools.
Running the server
Run: uv run python main.py
This starts the server on streamable-http at http://127.0.0.1:8000/mcp. It works locally and behind ngrok or other tunnels with no extra commands or env vars. For Cursor/stdio, use: uv run python main.py stdio.
The validate_openapi tool accepts file paths, inline JSON/YAML, or any public URL. The tool fetches and reads the content over HTTP (no manual download required). Supported URL types include: raw file URLs (e.g. raw.githubusercontent.com/.../ProjectSight-v1.json), Google Drive view or direct download links, and any other public URL that returns JSON or YAML. Both “read the page” and “download” semantics work: the tool GETs the URL and parses the response body.
After validation, the prompt_mcp_developer_context tool provides Trimble Agentic Ecosystem context, an inferred market segment and intended end users from the API, and two prompts for the agent creator: (1) the job role of the person adding MCP tools for this API, and (2) the task/workflow/job the agent being created will aid in. Pass either the analysis from validate_openapi (when valid) or openapi_input (URL/path/inline) to get these prompts.
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