Flagged: opens a tunnel service. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by MCPJam · MCP Server · ★ 2.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is inspector safe to install? View the security audit →
www.mcpjam.com MCPJam is the development platform for MCP servers, MCP apps, and ChatGPT apps. Debug: Inspect every JSON-RPC message and OAuth exchange across host configurations with full traces. Chat: Talk to any LLM against your server with full trace visibility into tool calls and context across agent, host app, your server. Inspect: Explore your server’s tools, resources, and prompts in one place. Evaluate: Run evals across multiple LLMs and track accuracy over time so you catch regressions early. CLI: Probe servers, run doctor checks, exercise OAuth flows, and list tools/resources/prompts straight from your terminal.
| Stars | 2,223 |
| Forks | 291 |
| Language | TypeScript |
| Category | MCP Server |
| Quality Score | 66.5090387189793/100 |
| Open Issues | 310 |
| Last Updated | 2026-09-23 |
| Created | 2025-05-23 |
| Platforms | cli, mcp, node |
| Est. Tokens | ~16k |
These tools work well together with inspector for enhanced workflows:
Looking for a inspector alternative? If you're comparing inspector with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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inspector is Testing and evaluation platform to chat, inspect, and debug MCP servers, MCP apps, and ChatGPT apps.. It is categorized as a MCP Server with 2.2k GitHub stars.
inspector is primarily written in TypeScript. It covers topics such as anthropic, chatgpt, cicd.
You can find installation instructions and usage details in the inspector GitHub repository at github.com/MCPJam/inspector. The project has 2.2k stars and 291 forks, indicating an active community.
The top alternatives to inspector on Agent Skills Hub include mcp-use, skybridge, mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: