stateless-mcp-incident-lab-typescript-raw
A raw TypeScript MCP server simulating incident lifecycles with tools, resources, prompts, and signed multi-round remediation approval. Enables CLI-based interaction, protocol negotiation, and health/security testing without external MCP SDK dependencies.
README
Stateless MCP Incident Lab — Raw TypeScript
Independent raw HTTP/JSON-RPC implementation of the Stateless MCP Incident Lab for Node.js 24. It implements MCP wire shapes directly and intentionally does not depend on the official MCP SDK.
Capabilities
- Stateless per-request protocol-version and capability negotiation
- Streamable HTTP JSON responses and SSE diagnostic progress
- Tool, resource, resource-template, and prompt catalogs
- Synthetic incident lifecycle and signed multi-round remediation approval
- Public/private response caching with stale-on-refresh-error behavior
- CLI workflows, structured telemetry, health readiness, and security bounds
All remediation effects are simulated.
Quick start
npm ci
npm run build
npm start
The server binds to 127.0.0.1:3101 by default and exposes POST /raw/mcp plus GET /raw/healthz. Override the bind with HOST and PORT. Production replicas must share an MCP_REQUEST_STATE_SECRET of at least 32 bytes and set DYNAMODB_TABLE (plus optional DYNAMODB_ENDPOINT for DynamoDB Local); development uses process-local ephemeral key and effect storage. In another shell:
node dist/src/main.js --version
node dist/src/main.js discover http://127.0.0.1:3101/raw/mcp
CLI
The incident-mcp binary supports these command families:
incident-mcp discover <url>
incident-mcp tools list|inspect|call <url> [...]
incident-mcp resources list|templates|read <url> [...]
incident-mcp prompts list|get <url> [...]
incident-mcp demo <url> --approve|--decline|--cancel
Global diagnostic options include --wire with sensitive-value redaction and --no-cache.
Docker
Build and run the minimal runtime image:
docker build --target runtime -t incident-mcp-raw .
docker run --rm -p 127.0.0.1:3101:3101 \
-e HOST=0.0.0.0 \
-e MCP_REQUEST_STATE_SECRET="$(openssl rand -hex 32)" \
-e EFFECT_STORE=memory \
incident-mcp-raw
# Or inspect the image version without starting the service:
docker run --rm incident-mcp-raw --version
The test stage requires the external behavioral repository as a named build context:
docker build --target test \
--build-context conformance=../stateless-mcp-incident-lab-conformance \
-t incident-mcp-raw-test .
Runtime behavior
The public HTTP/CLI path uses the same application modules exercised by conformance. Incident lifecycle records and conditional remediation claims share the configured DynamoDB table in production; development uses in-memory stores. The CLI applies MCP cache hints in-process, supports explicit bypass, and serves stale entries only after refresh failure with a warning. Diagnostic SSE work is paced and request-scoped, stops on disconnect or deadline, and returns the actual diagnostic result. Live JSON requests enforce a five-second deadline and emit structured, trace-correlated telemetry with bearer-bearing resource names redacted.
Development and verification
npm run format
npm run lint
npm run typecheck
npm run test:coverage
npm run test:mutation
npm run build
npm run test:conformance
npm audit --audit-level=high
The behavioral suite is resolved from CONFORMANCE_PATH, defaulting to the sibling ../stateless-mcp-incident-lab-conformance/conformance directory.
Coverage is enforced at 95% lines, 90% statements, 80% branches, and 95% functions. The remaining lines are defensive malformed-internal-input paths and the direct-process bootstrap. Mutation testing covers incident lifecycle, MRTR, cache, property laws, header/request-state security, and schema validation, with an enforced score of at least 80%.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
Neon Database
MCP server for interacting with Neon Management API and databases
E2B
Using MCP to run code via e2b.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.