Server data from the Official MCP Registry
A chaos-engineering and resilience-testing toolkit for Model Context Protocol servers.
About
A chaos-engineering and resilience-testing toolkit for Model Context Protocol servers.
Security Report
Valid MCP server (4 strong, 1 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry. Trust signals: 3 highly-trusted packages.
9 files analyzed · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-anilloutombam-mcp-failure-lab": {
"args": [
"-y",
"mcp-failure-lab"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
MCP Failure Lab
A chaos-engineering and resilience-testing toolkit for Model Context Protocol servers.

Quick start
Run a real deterministic delay scenario without cloning the repository or installing the package globally:
npx mcp-failure-lab demo
Example output:
MCP Failure Lab — Demo
Running a real 500ms delay scenario...
Scenario: Deterministic delay demo
Outcome: success
Duration: ~500 ms
Assertions: passed
The exact duration may vary slightly between runs. No API key or external MCP server is required.
Display the available commands:
npx mcp-failure-lab --help
Start the built-in MCP server over stdio:
npx mcp-failure-lab serve
Or start a local Streamable HTTP endpoint:
npx mcp-failure-lab serve --transport http
Purpose
MCP Failure Lab helps server authors reproduce delays, hanging tools, cancellation, and transport loss in a deterministic way.
It provides controlled failure behavior for testing timeout handling, cancellation cleanup, transport-loss recovery, assertions, and CI outcomes.
Current scope
MCP Failure Lab runs deterministic JSON scenarios against its own built-in MCP server from the command line.
Available now:
ping,delay,hang, anddisconnecttools- MCP communication over stdio and Streamable HTTP
- Code-first and JSON scenario definitions
- Outcome and maximum-duration assertions
- MCP result assertions
- Sequential observer calls for post-condition verification
- Console and JSON reporting
- Machine-readable command errors
- CI-friendly exit codes
- Unit, integration, and end-to-end tests
Not implemented:
- External MCP client orchestration
- Target-client adapters
- JUnit reporting
- Malformed-message, duplicate-response, and session-loss faults
MCP Failure Lab is not currently a general-purpose proxy or an external MCP client test orchestrator.
How it works
MCP Failure Lab runs deterministic scenarios through its built-in MCP client and server. A scenario invokes ping, delay, hang, or disconnect, records the observed outcome and duration, and evaluates the declared expectations.
Optional observer calls run sequentially on the same MCP client connection to verify post-conditions through a separate tool path.
See the architecture documentation for diagrams, responsibilities, and implementation boundaries.
Documentation
Full guides and references are available at mcplab.dev/docs.
Requirements
- Node.js 22.19.0 or newer
- npm
Protocol compatibility
MCP Failure Lab targets MCP 2026-07-28 by default. Its CLI server uses the SDK v2
era-aware serving entries, and its built-in scenario client pins 2026-07-28 so modern
behavior is exercised explicitly.
The server also accepts the 2025-11-25 initialization flow for compatibility. HTTP
compatibility is stateless: each request receives a fresh server instance, and legacy
session GET and DELETE operations are not supported. That path remains covered by
integration tests, but new development targets 2026-07-28. The existing ping,
delay, hang, and disconnect fault tools have the same user-facing behavior in both
eras; protocol features that rely on server-initiated requests differ between eras and
are outside these fault tools.
Installation
Run the package directly with npx:
npx mcp-failure-lab demo
No global installation is required.
To install the command globally:
npm install -g mcp-failure-lab
CLI
# Run the built-in demonstration
npx mcp-failure-lab demo
# Display command help
npx mcp-failure-lab --help
# Display the installed version
npx mcp-failure-lab --version
# Start the MCP server over stdio
npx mcp-failure-lab serve
# Start Streamable HTTP with local-safe defaults
npx mcp-failure-lab serve --transport http
# Override the HTTP endpoint explicitly
npx mcp-failure-lab serve --transport http --host localhost --port 4000 --path /mcp
The serve process waits for an MCP client. Press Ctrl+C to shut it down gracefully.
Streamable HTTP listens on http://127.0.0.1:3000/mcp by default. The server validates
the request path plus Host and Origin headers. Binding another host is an explicit
choice; this mode does not provide authentication or TLS, so do not expose it to an
untrusted network. Put authentication and TLS termination in a trusted front end if
remote access is required.
Run a scenario
Scenario files use JSON:
{
"name": "bounded delay succeeds",
"call": {
"tool": "delay",
"args": {
"delayMs": 250
}
},
"timeoutMs": 1000,
"expect": {
"outcome": "success",
"maxDurationMs": 500
}
}
From a repository checkout, run the included scenario:
npm run dev -- run examples/scenarios/delay-success.json
Generate machine-readable output:
npm run dev -- run examples/scenarios/delay-success.json --report json
The command exits with:
| Code | Meaning |
|---|---|
0 | All expectations passed |
1 | The scenario could not be loaded or executed |
2 | One or more assertions failed |
For result assertions, observer calls, reporting formats, and timeout behavior, see the scenario and reporting documentation.
Fault tools
| Tool | Behavior |
|---|---|
ping | Returns a deterministic health response |
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 |
See the fault tools reference for arguments and behavior.
Inspect the server
Launch MCP Inspector against the published package:
npx @modelcontextprotocol/inspector npx mcp-failure-lab serve
Connect over stdio, list the available tools, and invoke ping, delay, hang, or disconnect.
For Streamable HTTP, start the server separately and connect Inspector to
http://127.0.0.1:3000/mcp.
Do not share or commit temporary authentication tokens included in Inspector URLs.
External integration validation
MCP Failure Lab was independently validated with a Future AGI simulation using an independent Python MCP client. The experiment invoked the real hang tool over stdio and applied a client-side timeout before evaluating simulated agent responses.
This is an external validation example, not an official Future AGI integration or endorsement.
See the Future AGI example for results and reproduction steps.
Development
Clone the repository and install its dependencies:
git clone https://github.com/anilloutombam/mcp-failure-lab.git
cd mcp-failure-lab
npm install
Run the development CLI:
npm run dev -- --help
Before opening a pull request, run:
npm run format:check
npm run typecheck
npm test
npm run build
See CONTRIBUTING.md for the contribution workflow.
Roadmap
Planned work is tracked in GitHub Issues.
Roadmap items are not part of the current implementation unless explicitly documented as available.
License
Reviews
No reviews yet
Be the first to review this server!
More Developer Tools MCP Servers
Fetch
Freeby Modelcontextprotocol · Developer Tools
Web content fetching and conversion for efficient LLM usage
Git
Freeby Modelcontextprotocol · Developer Tools
Read, search, and manipulate Git repositories programmatically
Toleno
Freeby Toleno · Developer Tools
Toleno Network MCP Server — Manage your Toleno mining account with Claude AI using natural language.
mcp-creator-python
Freeby mcp-marketplace · Developer Tools
Create, build, and publish Python MCP servers to PyPI — conversationally.
MCP Marketplace
Freeby mcp-marketplace · Developer Tools
Search and install MCP servers from inside your AI client.
MarkItDown
Freeby Microsoft · Content & Media
Convert files (PDF, Word, Excel, images, audio) to Markdown for LLM consumption
