Microsoft Research Launches MCP Interviewer for Server Reliability
Microsoft Research has launched MCP Interviewer, an open-source command-line tool designed to help developers build and maintain servers for the Model Context Protocol (MCP). The tool aims to catch potential server issues before agentic AI encounters them.
MCP Interviewer catalogues a server's tools, prompts, resources, and capability schemas, highlighting compliance and detecting issues. It was developed by a team at Microsoft Research to understand tool-space interference in the MCP ecosystem.
The tool generates human-readable Markdown and JSON reports for developers and maintainers through its Report Generation feature. Functional Testing uses large language model agents to create and execute test plans, logging successes, errors, and performance metrics. LLM Evaluation applies natural language evaluation rubrics via LLMs to grade tool usability and functional output. Additionally, Constraint Checking ensures MCP servers comply with provider constraints like OpenAI tool limits and naming conventions.
MCP Interviewer is positioned as a crucial validator and debugging companion for MCP servers to work reliably across diverse agentic clients. It provides automated inspection, functional testing, agentic evaluation, and in-depth reporting for MCP server implementations.
Microsoft Research's MCP Interviewer is now available as an open-source tool to help developers build and maintain MCP servers. By catching issues early and providing comprehensive reporting, it aims to improve the reliability and interoperability of MCP servers across diverse agentic clients.
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