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Tool coding deployment security

MCPJam Inspector

Development and testing platform to debug, chat with, inspect, and run evals against MCP servers, MCP apps, and ChatGPT apps

B 79/100 GitHub score ? This grade is derived from GitHub signals, not user votes. Open for the full breakdown.
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01 / Summary

About MCPJam Inspector.

MCPJam is a testing and evaluation platform for developers who build MCP servers. Clients such as ChatGPT, Claude, and Cursor each read a server differently, so MCPJam runs your server's tools, prompts, resources, and authorization against 16 client configurations and more than 170 models, then shows where it breaks.

You debug a server by hand or drive it with an LLM in the Playground, where a trace view puts every tool call, agent step, and JSON-RPC message on one timeline. Evals turn expected tool calls into test cases, run them across several LLMs, and track accuracy, latency, and tool-call performance over time. The same checks run from a CLI, an SDK, or a CI/CD job on every pull request.

MCPJam Inspector runs as a hosted web app (HTTPS servers only), a desktop app for Mac and Windows, or a local process from the terminal, and the desktop and terminal versions also reach local STDIO servers. It covers every feature of the original MCP Inspector.

  • Playground: cross-client chat that emulates client UIs, tool calls, and skills with full traces, including OpenAI Apps SDK and MCP app UIs and a widget emulator for desktop, tablet, and mobile
  • OAuth Debugger: guided MCP OAuth conformance checks across spec versions 2025-03-26, 2025-06-18, 2025-11-25, and the 2026-07-28 draft, with DCR, client pre-registration, and CIMD
  • Server debugging: run tools, resources, resource templates, prompts, and elicitation flows with full JSON-RPC logs
  • Cross-client evals: score agent behavior across 16 client configurations, including ChatGPT, Claude, Cursor, and Copilot
  • Evals: test cases with expected tool calls, run across multiple LLMs, with accuracy tracked over time
  • Skills: extend models with reusable behaviors in the Playground, read locally or carried as hosted skills by a project
  • Workspaces: shared server groups with real-time team sync so a team tests one configuration
  • CLI and SDK: probe servers, run doctor and OAuth checks, snapshot capabilities, and assert on tool and resource shapes from your own tests
  • CI/CD: run conformance, end-to-end tests, evals, and OAuth checks on every pull request in GitHub Actions, GitLab CI, or another CI system

02 / Discussion CREDIBILITY-GATED

Discussion

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04 / Build

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