MCP Reporter

MCP Reporter is a lightweight, TypeScript‑based utility designed to surface the full breadth of capabilities offered by Model Context Protocol (MCP) servers. In many AI‑centric ecosystems, developers run multiple MCP instances—each exposing a distinct set of tools, resources, and templates—to power assistants like Claude. However, without a centralized view, it becomes difficult to understand which servers are active, what functions they provide, and how those functions interrelate. MCP Reporter solves this by automatically discovering all enabled servers listed in a configuration file, interrogating each for its advertised capabilities, and compiling the findings into a single, human‑readable Markdown document.

At its core, MCP Reporter performs three complementary tasks. First, Server Discovery scans the configuration and launches each server process in a controlled environment, ensuring that every MCP instance is reachable. Second, Capability Analysis queries the server’s introspection endpoints to extract detailed metadata about available tools, resources, and resource templates. Finally, Markdown Report Generation organizes this data into a structured report that highlights server names, endpoint URLs, supported schemas, and sample usage snippets. The result is a living document that can be embedded in documentation portals, shared with stakeholders, or fed into other tooling pipelines.

The utility’s design prioritizes developer ergonomics. Real‑time progress monitoring keeps users informed during potentially long discovery runs, while configurable flags allow teams to include or exclude input schemas, server metadata, and example prompts. Because the output is plain Markdown, it can be version‑controlled alongside code, ensuring that documentation stays in sync with server updates. The tool also supports programmatic invocation via a simple API, enabling integration into CI/CD workflows or custom build scripts.

In practice, MCP Reporter shines in environments where multiple assistants depend on heterogeneous data sources. For example, a fintech organization might run separate MCP servers for market feeds, customer records, and compliance checks. Generating a consolidated report helps architects verify that each assistant can access the necessary resources, identify gaps or redundancies, and document usage patterns for audit purposes. Similarly, open‑source projects that expose MCP servers can publish an up‑to‑date capability sheet for contributors, accelerating onboarding and reducing friction.

Unique to MCP Reporter is its focus on comprehensive server introspection rather than just API enumeration. By exposing resource templates and input schemas, the report not only lists what tools exist but also how they should be invoked, making it a practical reference for developers writing new prompts or building custom integrations. This level of detail transforms the report from a passive snapshot into an actionable guide that directly informs AI workflow design and tool chaining.