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제작자가 쓴 설명(영어 원문)
Deterministic fault-injection server for testing how MCP clients handle failures and recover.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"failure-lab": {
"command": "npx",
"args": [
"-y",
"mcp-failure-lab"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add failure-lab -- npx -y mcp-failure-lab프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"failure-lab": {
"command": "npx",
"args": [
"-y",
"mcp-failure-lab"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"failure-lab": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"mcp-failure-lab"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 9일 점검
레지스트리 이름이 GitHub 계정 anilloutombam 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.13.2)은 9일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: GitHub, Desktop Commander, Cloudflare MCP
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:↓ 주간 다운로드i★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Reproduce MCP timeouts, cancellation races, transport loss, and invalid responses with repeatable tests and CI reports.
Documentation · Compatibility · Project page
Example output (duration varies):
$ npx mcp-failure-lab demo
MCP Failure Lab — Demo Running a real 500ms delay scenario...
Scenario: Deterministic delay demo Outcome: success Duration: ~500 ms Assertions: passed
Real MCP clients behave differently when things break. A timeout may leave a connection usable; an interrupted response may close it. A malformed reply may be rejected by one client and accepted by another.
Failure Lab makes those cases repeatable so you can check both the failed call and what happens next.
mcp 2.2.0 stayed closed after an interrupted HTTP response, rejected the next request, and raised an ExceptionGroup during cleanup.rmcp 3.4.0 accepted an invalid response containing both result and error over stdio and HTTP.mcp 1.6.1 accepted responses missing jsonrpc or declaring jsonrpc: "1.0" over stdio and HTTP in all three repeats. The Ruby report records all 60 executions; the results and upstream finding are included in the Observatory export.jsonrpc: "1.0" over both transports (#1156). Over stdio, responses missing jsonrpc or containing both result and error left the next ping timing out (#1157). See the Java report.ping. TypeScript reported the duplicate through its error callback; the other harnesses surfaced no call-level duplicate error.The SDK comparisons describe specific tested versions, not every release. See the versioned reports for reproduction steps and limitations.
Requires Node.js 22.23.4 or newer and npm.
npx mcp-failure-lab demo
The demo needs no API key, external server, or global installation. To test your own MCP client, connect it to Failure Lab over stdio or local Streamable HTTP:
npx mcp-failure-lab serve
npx mcp-failure-lab serve --transport http
The stdio process waits for a client; it is not an interactive terminal command. Configure your client to launch it, or follow the getting started guide. Press Ctrl+C to stop a manually started server.
HTTP defaults to http://127.0.0.1:3000/mcp. It provides neither authentication nor TLS; do not expose it to an untrusted network.
External targets support HTTP and stdio. After the repository setup, install the official GitHub MCP server with its executable on PATH and set GITHUB_PERSONAL_ACCESS_TOKEN in your environment. Then run:
npm run dev -- run examples/scenarios/github-get-me.json \
--target examples/targets/github-stdio.json
The example calls GitHub's read-only get_me tool. Its target configuration uses envFrom to pass the token from your environment rather than storing it in JSON. For your own scenario and target configuration, use:
npx mcp-failure-lab run scenario.json --target target.json
External runs check tool results, deadlines, and adapter setup and cleanup. They do not inject faults into another server; Failure Lab is not a proxy.
See the external targets guide for prerequisites, credential handling, and configuration.
The built-in server exposes these tools for testing client behavior:
| Tool | Behavior |
|---|---|
ping | Returns a deterministic health response |
protocol_ping_liveness | Sends a bounded protocol ping during its in-flight call |
delay | Waits for a bounded duration before returning |
hang | Remains pending until the client cancels |
disconnect | Interrupts the active transport while a request is in flight |
malformed_message | Violates one selected JSON-RPC response rule exactly once |
duplicate_response | Sends the same JSON-RPC response twice for one request |
response_after_cancellation | Sends one late response for a cancelled stdio request |
session_loss | Invalidates the caller's legacy HTTP session |
oversized_response | Returns a deterministic text payload up to 256 KiB |
invalid_progress | Sends an unknown, regressing, or late progress notification |
Protocol ping is distinct from the ping tool. Built-in scenarios default to MCP 2026-07-28; protocol liveness requires scenario protocolVersion: "2025-11-25". Both public transports accept legacy clients.
See the fault tools reference for timing bounds, activation, cancellation, cleanup, and transport limits.
oversized_response accepts sizeBytes from 0 through 262,144. It generates only ASCII x characters, so the text size is exact in UTF-8 bytes and contains no external data. The cap applies on both stdio and HTTP. Choose a size below your client's configured response limit to check success, then a size above that limit (but no more than 262,144) to check client rejection. The included 64 KiB scenario checks the exact returned text size and a follow-up request. The JSON-RPC and transport framing add bytes around the text, so a client's whole-message limit may trigger before sizeBytes reaches its threshold. The integration test confirms that a stdio client with a 4 KiB message limit accepts a 1 KiB payload and rejects an 8 KiB payload.
invalid_progress requires a client progress token and accepts unknown-token, regressing-progress, or after-completion. These are protocol notifications associated with one tool call; they are not tool result content. The unknown-token variant sends one notification with a different token. The regressing variant sends progress 2 followed by 1. The late variant sends one notification after the matching response on stdio or in the HTTP response stream. These violate request-token correlation, monotonic progress, and the completed-request lifecycle, respectively. Each variant is bounded and consumed once. See the regressing, unknown-token, and after-completion scenarios. The built-in runner can assert callback values with expect.progressValues; external target adapters do not report progress notifications and cannot use that assertion.
Trigger a fault, record its outcome, then make a second request on the same connection. A detected fault does not prove recovery; the follow-up must succeed too.
Scenario observe calls run after the primary call, including errors and timeouts. For example, duplicate-response.json calls duplicate_response, then uses ping to check that the connection remains usable:
# From a repository checkout
npm run dev -- run examples/scenarios/duplicate-response.json
This checks post-fault behavior, not an automatic recovery policy. A stdio disconnect terminates the server process and requires a new process and connection.
See Scenarios for outcome, duration, result, and observer assertions.
MCP Failure Observatory collects SDK and transport evidence. The repository reports preserve tested versions, methods, and limitations.
Results vary by SDK, version, transport, and protocol. A passing run is evidence for that combination, not a guarantee for every client.
Save a scenario file with explicit expectations and timeouts, then produce a JUnit report:
npx mcp-failure-lab run scenario.json --report junit > junit.xml
Pin the Failure Lab package version in CI so upgrades do not change the test environment unexpectedly.
Exit codes: 0 means expectations passed, 1 means the scenario could not be loaded or executed, and 2 means an assertion failed. An expected timeout can pass; an unexpected success can fail.
See Reporting for JSON, JUnit, and lifecycle diagnostics.
Detailed guides live at mcplab.dev: Getting started · CLI · Architecture · Troubleshooting.
See CONTRIBUTING.md for setup, tests, and the contribution workflow. Planned work is tracked in GitHub Issues.
If Failure Lab helps you test an MCP integration, consider starring the repository.
MIT