llm-skills-mcp-poc
MCP server exposing a shared pr-review skill with tools to list, get, run, and evaluate skills, enabling AI assistants to perform code review tasks.
README
LLM Skills POC
This monorepo packages one shared pr-review skill and exposes it through both an HTTP API and an MCP server. The skill manifest, instructions, examples, and audit traces are shared across both entrypoints so API clients and MCP clients run the same contract.
Stack
- Node.js 22
- TypeScript
- npm workspaces
- Express HTTP API
- Model Context Protocol server over stdio
- Zod and YAML for skill contracts and manifests
- Vitest for tests
- Docker Compose for the API container
Install, Test, And Build
npm install
npm test
npm run build
Local API
Start the API in development mode:
npm run dev:api
After npm run build, start the built API:
npm run start:api
Health check:
curl http://localhost:3000/healthz
List skills:
curl http://localhost:3000/skills
Run the shared pr-review skill:
curl -X POST http://localhost:3000/skills/pr-review/run \
-H 'Content-Type: application/json' \
-d '{
"client": "api",
"inputs": {
"repo": "checkout-service",
"diff": "diff --git a/src/cart.ts b/src/cart.ts\n+export function formatCart(items) {\n+ return items.map(item => item.name).join(\", \");\n+}",
"risk_level": "low"
}
}'
Admin Workbench
Start the API:
npm run dev:api
Open:
http://localhost:3000/admin
The workbench can load skills, edit skill.yaml, edit instructions.md, edit packaged examples, save validated changes, restore the latest backup, run a skill, evaluate examples, and inspect redacted audit events.
Every write creates a timestamped backup under .data/backups/<skill-id>/.
Local MCP
Run the MCP server in development mode:
npm run dev:mcp
After npm run build, MCP clients can run the built stdio server with:
node apps/mcp-server/dist/index.js
Available MCP tools:
list_skillsget_skillrun_skillevaluate_skill
Docker
Build and run the API service:
docker compose up --build
The compose service publishes the API on port 3000, mounts ./skills read-write for admin edits, and mounts ./.data for traces and backups.
Check the containerized API:
curl http://localhost:3000/healthz
Build the stable API image, then run the MCP server from that image:
docker compose build
docker run --rm -i llm-skills-poc-api node apps/mcp-server/dist/index.js
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