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Turn OpenAPI specs into streamlined MCP servers and evaluate tool selection accuracy.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-curate" yet — see the docs or source repo.
Please read this OpenAPI spec and convert it into a curated MCP server. Merge duplicate or similar endpoints, output fewer but clearer tools, and explain each tool’s purpose and naming rationale.
A curated MCP tool list with tool definitions, naming explanations, and merge recommendations.
Generate an MCP server from this OpenAPI spec and create an evaluation plan to test whether a model selects the right tools for different user requests. Include test cases, scoring methods, and accuracy metrics.
An evaluation suite with test cases, metric definitions, and a framework for measuring tool selection accuracy.
Analyze which operations in this OpenAPI spec should be exposed to AI, then design clearer MCP tool names and descriptions that avoid ambiguity, duplication, and over-fragmentation. Explain your decision criteria.
A set of AI-friendly tool names, descriptions, and principles for curating the tool surface.
Convert OpenAPI specs into MCP server instances for faster tool integration.
Generate MCP tools from OpenAPI specs for natural-language API interaction.
Convert any OpenAPI v3 spec into a working MCP server for AI integration.
Convert OpenAPI files into tailored MCP servers with only needed tools.
Convert OpenAPI specs into MCP tools for fast LLM API integration.
Turn OpenAPI specs into MCP servers for LLM access to REST APIs.