MCP Gateway & Registry is a governed control plane that provides one authenticated entry point for MCP servers, AI agents, skills, and other AI assets, while supporting discovery, access control, and audit records. Organizations use it to register and manage development tools for autonomous agents and coding assistants. Catalogue add-ons operate or extend workflows around these registered AI assets.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add agentic-community/mcp-gateway-registry --skill debuggit clone --depth 1 https://github.com/agentic-community/mcp-gateway-registryWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/agentic-community/mcp-gateway-registry/debug)<a href="https://agentmods.dev/skills/agentic-community/mcp-gateway-registry/debug"><img src="https://agentmods.dev/badge/skills/agentic-community/mcp-gateway-registry/debug/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/agentic-community/mcp-gateway-registry/debug"><img src="https://agentmods.dev/badge/skills/agentic-community/mcp-gateway-registry/debug.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00045 | $0.01619 |
| Opus 5.5 | $0.00018 | $0.00648 |
| Sonnet 5.5 | $0.00009 | $0.00324 |
| Haiku 4.5 | $0.00005 | $0.00162 |
Grade A, and why
debug scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Does the same operation work via curl from the command line? How it starts
The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Debug Skill
Use this skill when debugging any issue in the MCP Gateway Registry: timeouts, 5xx errors, UI failures, broken flows, unexpected behavior. Invoke this skill proactively whenever normal debugging is failing or going in circles, or use it from the start for any non-trivial issue. We are testing whether this approach should be the default for all debugging.
Expert Personas
Before starting, announce that you are consulting the following expert panel. Each persona challenges assumptions and contributes their domain expertise:
- SRE/Infrastructure Engineer - Thinks about: single-worker bottlenecks, event loop blocking, connection pooling, DNS resolution, proxy timeouts, container resource limits, startup ordering.
- Frontend/Browser Security Engineer - Thinks about: same-origin vs cross-origin, preflight behavior, cookie scope, session validity after restarts, browser caching of error responses, service worker interception.
- Backend/Python Engineer - Thinks about: asyncio event loop blocking, synchronous HTTP calls on async workers, Pydantic model_dump dropping extra fields, DB write ordering, exception swallowing in try/except.
- Senior Staff Engineer (Skeptic) - Questions EVERY theory before implementation. Asks: "If that were true, why does X work?" and "Was this working before our change?" Forces the team to prove hypotheses before writing code.
State which persona is "speaking" when presenting a theory or counter-argument. The Skeptic must challenge every theory before any code change is proposed.
First Principles Debugging
Step 1: Reproduce and observe (do NOT theorize yet)
- What exact error does the user see? (HTTP status, error message, timing)
- What was the user doing? (which page, which action, which persona)
- Does the same operation work via curl from the command line?
- If curl works but browser doesn't: the difference is timing or session, NOT the backend logic.
Step 2: Check what the worker is DOING right now
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago Changed · -2 lines f324ac1b6a9f
- 1mo ago First seen · 117 lines · 45 tokens per session scan A d6ba9dd480ec
debug is a skill published in the GitHub repository agentic-community/mcp-gateway-registry (1,003 stars, last pushed today), licensed Apache-2.0. It adds 45 tokens to every session and 1,619 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
python-code-quality
Code quality checks, linting, formatting, and type checking commands for the Agent Framework Python codebase. Use this when running checks, fixing lint errors, or troubleshooting CI failures.
rubber-duck
Adversarial "rubber duck" review that turns explaining-out-loud into a hallucination check. The main session is the PRESENTER (it did the work — a design doc, investigation, or analysis — and holds the real reasoning) and reconstructs the topic to a LISTENER — a spawned subagent pinned to a DIFFERENT-vendor model that…
ios-simulator
Verify and debug native, React Native, Expo, or Flutter apps on an iOS Simulator with agent-device. Use when an agent needs to launch an app, inspect its live UI, tap, type, scroll, validate a code change, collect failure evidence, or reproduce a workflow on an iPhone or iPad Simulator.
debug-gateway
Load this before concluding a change did not land, and to read what the kirocrew-debug tools actually answered - which question to ask first, the fields that mean the opposite of how they look, and what a 400 / 403 / 404 / 501 from these tools means.
ai-discover
Read-only discovery step of the auto-improvement loop. One bounded agent turn per cycle reads the focus files (Read/Grep/Glob only, no shell, no subagents) and replies with a JSON array of testable surfaces {file, line, symbol, rule, message, hypothesis}; the spine authors fixes and verifies them. Discovery only — no…
debugging-websocket-issues
Use when seeing WebSocket errors like "Invalid frame header", "RSV1 must be clear", or "WSERRUNEXPECTEDRSV1" - covers multiple WebSocketServer conflicts, compression issues, and raw frame debugging techniques.