@forinda/kickjs-mcp
v7.0.0
Published
Model Context Protocol server adapter for KickJS — expose @Controller endpoints as MCP tools
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@forinda/kickjs-mcp
Model Context Protocol server adapter — exposes @Controller endpoints as callable MCP tools for Claude Code, Claude Desktop, Cursor, Zed, and any other MCP-aware client. Zero duplicated schemas (the route's Zod body becomes the tool input shape automatically).
Why MCP?
You already have a REST API. MCP lets AI tools call your endpoints as native tools — no glue code, no client SDKs, no OpenAPI wrappers.
Your API becomes AI-native in one decorator:
@Post('/', { body: createTaskSchema })
@McpTool({ description: 'Create a task with title and priority' })
create(ctx: RequestContext) { ... }Now a developer in Claude Code or Cursor can say "create a task called Fix login bug with high priority" — and the LLM calls your endpoint directly. No curl, no Postman, no Swagger UI. They stay in their editor.
What people use this for:
- Internal tools — ops team queries and mutates data through an AI assistant instead of building admin UIs
- Dev workflows — "list all users who signed up this week" against a running staging server
- CI/CD agents — AI agents that create issues, update statuses, or trigger deploys via your API
- Database access — expose Prisma/Drizzle queries as MCP tools so Claude can answer data questions
- Onboarding — new team members explore the API by talking to it instead of reading docs
Auth just works. If you already use context decorators (@LoadUser, @LoadTenant) or @Roles('admin') for your HTTP routes, they work on MCP calls identically. No separate auth layer for AI access.
You control what's exposed. mode: 'explicit' (the default) means nothing is visible to AI unless you put @McpTool on it. Admin endpoints, dangerous mutations, internal debug routes — none of them leak.
Install
kick add mcpQuick Start
1. Wire the adapter into bootstrap
import { bootstrap } from '@forinda/kickjs'
import { McpAdapter } from '@forinda/kickjs-mcp'
import { modules } from './modules'
export const app = await bootstrap({
modules,
adapters: [
McpAdapter({
name: 'task-api',
version: '1.0.0',
mode: 'explicit',
transport: 'http',
}),
],
})2. Mark which methods to expose
import { Controller, Get, Post, Delete, type RequestContext } from '@forinda/kickjs'
import { McpTool } from '@forinda/kickjs-mcp'
@Controller()
class TaskController {
@Get('/')
@McpTool({ description: 'List all tasks. Read-only.' })
list(ctx: RequestContext) { ... }
@Post('/', { body: createTaskSchema })
@McpTool({ description: 'Create a task with title and priority' })
create(ctx: RequestContext) { ... }
@Delete('/:id')
@McpTool({ description: 'Delete a task by id. Destructive.' })
delete(ctx: RequestContext) { ... }
@Get('/internal-report')
report(ctx: RequestContext) { ... } // NOT exposed — no @McpTool
}3. Connect your AI client
Two ways to connect, depending on your setup:
Option A: stdio (local development)
The AI client spawns your server itself — no URL needed. The client and server talk over stdin/stdout pipes.
# Generate the config file
kick mcp initThis creates .mcp.json in your project root:
{
"mcpServers": {
"task-api": {
"command": "kick",
"args": ["mcp"],
"cwd": "/path/to/your-project"
}
}
}Claude Code, Cursor, and Zed read this file automatically. When you open the project, they start your server as a background process and connect. You don't configure a URL — the client owns the process lifecycle.
For Claude Desktop, copy the entry to ~/.config/claude-desktop/claude_desktop_config.json:
{
"mcpServers": {
"task-api": {
"command": "kick",
"args": ["mcp"],
"cwd": "/absolute/path/to/your-project"
}
}
}Option B: HTTP (remote / shared servers)
Your server is already running somewhere (localhost during dev, cloud URL in production). The MCP endpoint is at /_mcp/messages on whatever port your app uses:
http://localhost:3000/_mcp/messages # local dev
https://api.myapp.com/_mcp/messages # productionConfigure your AI client to connect via Streamable HTTP and point it at that URL. The port is your KickJS server's port — the same one that serves your REST API.
How does the client know the URL?
| Scenario | How the client finds the server |
| -------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| stdio | Client reads .mcp.json, spawns kick mcp itself. No URL involved — communication is over stdin/stdout pipes. |
| HTTP (local dev) | Developer enters http://localhost:<port>/_mcp/messages in the client's MCP settings. The port is whatever PORT env var or bootstrap({ port }) your app uses. |
| HTTP (deployed) | Developer enters the deployed URL: https://api.myapp.com/_mcp/messages. Same endpoint, different host. |
For most local development, stdio is the simplest — kick mcp init and you're done. Use HTTP when the server runs on a different machine, in Docker, or behind a load balancer.
4. Verify with MCP Inspector
The MCP Inspector is a browser UI for testing MCP servers. Use it to verify your setup before connecting a real AI client.
# Terminal 1 — your server
kick dev
# Terminal 2 — the inspector
npx @modelcontextprotocol/inspectorThen open http://localhost:6274 in your browser:
- Set Transport Type to
Streamable HTTP - Set URL to
http://localhost:<your-port>/_mcp/messages - Click Connect — you should see your server name and a green "Connected"
- Click List Tools — your
@McpTool-decorated endpoints appear with descriptions and input schemas - Click any tool, fill in the inputs, click Run Tool
To test with auth, expand Authentication in the sidebar, enable the Authorization header, and set its value (e.g. Bearer <your-jwt>).
See the full guide for troubleshooting common issues (404, CORS, stale sessions).
How It Works
Boot Sequence
bootstrap({ modules, adapters: [McpAdapter(...)] })
|
+-- 1. Register DI bindings (@Service, @Controller -> Container)
+-- 2. Mount module routes on Express (/api/v1/tasks)
+-- 3. McpAdapter.onRouteMount() — collects each controller + mount path
+-- 4. McpAdapter.beforeStart() — scans @McpTool decorators, builds MCP
| server, mounts /_mcp/messages on Express
+-- 5. Error handlers registered (notFoundHandler, errorHandler)
+-- 6. Server.listen(port)
+-- 7. McpAdapter.afterStart() — captures server base URL for dispatchTool Call Dispatch
When an MCP client calls a tool, the adapter dispatches it through the full Express pipeline via an internal HTTP request. Your existing middleware, context decorators, auth guards, validation, and logging all apply — identically to a direct HTTP call.
MCP Client McpAdapter Express Pipeline
| | |
| POST /_mcp/messages | |
| Authorization: Bearer ... | |
| { method: "tools/call", | |
| params: { name, args } } | |
| ---------------------------> | |
| | |
| dispatchTool() |
| | |
| | Internal HTTP request: |
| | POST /api/v1/tasks |
| | Authorization: Bearer ... |
| | Body: { "title": "..." } |
| | ----------------------------> |
| | |
| | 1. express.json()
| | 2. requestScope()
| | 3. Context Decorators
| | (@LoadUser -> ctx.set('user'))
| | 4. Zod validation
| | 5. Handler
| | ctx.get('user') -> { alice }
| | ctx.created({ task })
| | |
| | HTTP 201 + JSON |
| | <--------------------------- |
| | |
| { result: { | |
| content: [{ text: ... }], | |
| isError: false | |
| }} | |
| <--------------------------- | |What @McpTool Controls
@McpTool({ description: '...' }) -> EXPOSED as tool
@McpTool({ hidden: true }) -> NOT exposed (excluded even in auto mode)
No @McpTool decorator -> NOT exposed (in explicit mode, the default)Auth Guards with @Middleware
If you prefer standard Express middleware over context decorators, use @Middleware() with an auth guard. It works identically for MCP since tool calls dispatch through the full Express pipeline.
import { Controller, Get, Middleware, type RequestContext } from '@forinda/kickjs'
import { McpTool } from '@forinda/kickjs-mcp'
function authGuard(req, res, next) {
const auth = req.headers.authorization
if (!auth) return res.status(401).json({ message: 'Not authenticated' })
req.user = verifyJwt(auth.replace('Bearer ', ''))
next()
}
@Controller()
class TaskController {
@Middleware(authGuard)
@Get('/')
@McpTool({ description: 'List tasks' })
list(ctx: RequestContext) {
const user = (ctx.req as any).user
return ctx.json(this.tasks.findByOwner(user.id))
}
}Context decorators are recommended (typed ctx.get('user'), DI support, topo-sorted dependsOn), but @Middleware works if you already have Express middleware you want to reuse. Both approaches forward the Authorization header from MCP clients.
Authentication Patterns
MCP tool calls flow through the same Express pipeline as regular HTTP, so your existing auth works. The question is how the agent gets the token in the first place.
Pattern 1: Static API key (simplest)
Issue API keys out-of-band. The user configures the key in their MCP client (.mcp.json env vars, Inspector sidebar, etc.). No login tool needed.
@LoadUser // reads Authorization: Bearer <api-key>
@Get('/')
@McpTool({ description: 'List tasks' })
list(ctx: RequestContext) { ... }Best for: internal tools, CI agents, single-user local dev.
Pattern 2: Pre-obtained JWT
The user logs in via your web app or CLI, copies the JWT, and configures it in their MCP client. The login endpoint is a regular HTTP route — not an MCP tool.
// Regular HTTP — NOT decorated with @McpTool
@Post('/auth/login', { body: loginSchema })
login(ctx: RequestContext) {
const user = await this.auth.verify(ctx.body)
return ctx.json({ token: signJwt(user) })
}
// MCP tools use the pre-obtained token
@LoadUser
@Get('/tasks')
@McpTool({ description: 'List tasks' })
list(ctx: RequestContext) { ... }Best for: production apps where users already log in via browser/mobile.
Pattern 3: Session-based MCP login
Expose a login tool. Store the authenticated user in server-side session state keyed by the MCP session ID. Subsequent calls in the same session are automatically authenticated — the agent handles the full flow without pre-configured tokens.
const mcpSessions = new Map<string, User>()
@Controller()
class AuthController {
@Post('/login', { body: loginSchema })
@McpTool({ description: 'Log in with email and password. Call this first.' })
async login(ctx: RequestContext) {
const user = await this.auth.verify(ctx.body)
const sessionId = ctx.req.headers['mcp-session-id'] as string
if (sessionId) mcpSessions.set(sessionId, user)
return ctx.json({ message: `Logged in as ${user.email}` })
}
}The context decorator checks the MCP session first, then falls back to the Authorization header:
const LoadUser = defineHttpContextDecorator({
key: 'user',
resolve: (ctx) => {
// Check MCP session first
const sid = ctx.req.headers['mcp-session-id'] as string
if (sid && mcpSessions.has(sid)) return mcpSessions.get(sid)!
// Fall back to Authorization header
const auth = ctx.req.headers.authorization
if (!auth) return null
return verifyJwt(auth.replace('Bearer ', ''))
},
})The agent flow becomes:
Agent: "Call login with { email, password }"
Server: stores user in MCP session -> "Logged in as alice"
Agent: "Call TaskController.create with { title: 'Ship it' }"
Server: @LoadUser finds alice via MCP session ID -> task created
No header management — the MCP session ID is sent
automatically by the SDK on every request.Best for: agents that self-authenticate without pre-configured tokens.
How auth flows through MCP
Regardless of which pattern you use, the flow is the same:
MCP Client McpAdapter Express
| | |
| Authorization: Bearer <token> | |
| (or MCP session carries auth) | |
| | |
| POST /_mcp/messages | |
| ---------------------------------> | |
| | |
| Extract auth from |
| SDK extra.requestInfo |
| | |
| Internal dispatch: |
| POST /api/v1/tasks |
| Authorization: Bearer <token> |
| | -------------------------> |
| | |
| | @LoadUser reads |
| | req.headers |
| | .authorization |
| | -> resolves user |
| | |
| | Same as direct |
| | HTTP call |
| | <------------------------- |Which pattern to use
| Pattern | When | Trade-off | | ---------------------- | ----------------------------------- | ------------------------------------------------- | | Static API key | Internal tools, CI, local dev | Simplest; key provisioned out-of-band | | Pre-obtained JWT | Users already log in via web/mobile | Works with existing auth; manual token copy | | Session login tool | Agents self-authenticate | Most flexible; requires server-side session state |
Exposure Modes
mode decides which routes become MCP tools:
explicit(default) — only methods decorated with@McpToolare exposed. New controllers don't suddenly become model-accessible.auto— every route matchinginclude/excludeis exposed automatically. Useful for internal apps where every endpoint is intentionally callable.
McpAdapter({
name: 'internal-api',
mode: 'auto',
include: ['GET', 'POST'],
exclude: ['/admin/*', '/internal/debug/*'],
})Transport Modes
+-----------------------+
| McpAdapter |
| transport: config |
+-----------+-----------+
|
+-------------+-------------+
| |
v v
+------------------+ +------------------+
| stdio Transport | | HTTP Transport |
| | | |
| Client spawns | | Server already |
| your app via | | running on a |
| kick mcp start | | known URL/port |
| | | |
| No URL needed | | /_mcp/messages |
| stdin/stdout | | on your port |
| pipes | | |
+------------------+ +------------------+
| |
+-------------+-------------+
|
v
Same Express pipeline
Same middleware
Same context decorators
Same auth flowBoth transports dispatch through the same Express pipeline.
McpAdapter Options
McpAdapter({
name: 'my-api', // MCP server name (shown in client UIs)
version: '1.0.0', // Server version (shown in client UIs)
description: 'My API server', // Human-readable description
mode: 'explicit', // 'explicit' (default) | 'auto'
transport: 'http', // 'http' (default) | 'stdio' | 'sse'
basePath: '/_mcp', // HTTP mount path (default: '/_mcp')
include: ['GET', 'POST'], // Auto mode: which HTTP methods to expose
exclude: ['/admin/*'], // Auto mode: path prefixes to skip
auth: {
// Transport-level auth (HTTP/SSE only)
type: 'bearer',
validate: (token) => isValid(token),
},
})@McpTool Options
@McpTool({
description: 'Create a task', // Required. Shown to the LLM.
name: 'create_task', // Override tool name (default: Controller.method)
inputSchema: z.object({ ... }), // Override input schema (default: route's body schema)
outputSchema: z.object({ ... }), // Output schema for documentation
hidden: true, // Exclude from auto mode
examples: [{ // Usage examples shown in client UIs
description: 'Create a high-priority task',
args: { title: 'Ship v3', priority: 'high' },
result: { id: '1', title: 'Ship v3' },
}],
})Security
IN PLACE:
[x] Explicit mode — only @McpTool-decorated routes exposed
[x] Full Express pipeline — middleware, auth, RBAC, rate limits apply
[x] Auth header forwarding — Authorization flows from MCP to internal dispatch
[x] Zod input validation — SDK validates against route's body schema
[x] getTools() — inspect the tool registry at runtime or in tests
NOT YET IN PLACE:
[ ] Tool annotations (readOnlyHint, destructiveHint, idempotentHint)
[ ] Elicitation (server-driven user prompts mid-call)
[ ] Process sandbox (tools run in same Node process)
[ ] Server-side approval / human-in-the-loopThe mental model: treat MCP exposure exactly like exposing the same route to a public HTTP client. Your existing auth + RBAC + rate-limit story carries the weight. The @McpTool decorator is the firewall — if you wouldn't put a route behind @Public(), don't decorate it with @McpTool.
Troubleshooting
| Symptom | Cause | Fix |
| ------------------------------------------------------ | ------------------------------------------------------ | --------------------------------------------------------------------------------------------------------------------------- |
| 404 on /_mcp/messages | Wrong URL or kickjs version before the mount-order fix | Use the full path /_mcp/messages; update @forinda/kickjs to latest patch |
| "Server already initialized" | Stale MCP session from a previous connection | Restart your KickJS server |
| "Not Acceptable: Client must accept text/event-stream" | Opened /_mcp/messages in a browser tab | Use the Inspector UI or a proper MCP client — the endpoint expects JSON-RPC POST requests |
| CORS errors | Browser client on a different origin | Add cors({ origin: '*', exposedHeaders: ['mcp-session-id'] }) to middleware |
| Tool calls return "Not authenticated" | Auth header not configured or not forwarded | Configure Authorization in your MCP client; verify @LoadUser reads ctx.req.headers.authorization |
| Tools not showing up | Methods not decorated with @McpTool in explicit mode | Add @McpTool({ description: '...' }) to each method you want to expose |
| Inspector shows "proxy session token" error | Inspector started with auth enabled | Open the full URL from Inspector output (includes ?MCP_PROXY_AUTH_TOKEN=...) or restart with DANGEROUSLY_OMIT_AUTH=true |
| @Autowired() service is undefined (500 error) | Running with tsx/ts-node — no decorator metadata | Use @Autowired(MyService) with explicit token instead of bare @Autowired() |
| "Mcp-Session-Id header is required" | CORS not exposing the session header | Add exposedHeaders: ['mcp-session-id'] to your cors() config |
Important Caveats
One MCP session at a time
The MCP SDK's StreamableHTTPServerTransport allows one active session per server. The first client to initialize locks the session — any second client is rejected. This only affects /_mcp/messages; your regular API routes work normally with unlimited clients.
Reset the session by:
kick dev— save any file to trigger HMR (resets the session)- Production — restart the server
- Inspector — click Disconnect before closing the tab
Rule of thumb: don't curl /_mcp/messages before connecting the Inspector. Use one MCP client at a time.
CORS for HTTP transport
Browser-based MCP clients (Inspector, web UIs) require CORS with the session header exposed:
middleware: [cors({ origin: '*', exposedHeaders: ['mcp-session-id'] }), express.json()]Without exposedHeaders, the Inspector can't read the session ID and every request after initialize fails. Stdio transport doesn't need CORS.
@Autowired needs explicit tokens with tsx
When running with tsx, ts-node, or any transpiler that strips decorator metadata:
// Fails with tsx — service is undefined at runtime:
@Autowired() private readonly svc!: MyService
// Works everywhere — always pass the token explicitly:
@Autowired(MyService) private readonly svc!: MyServicekick dev (Vite + SWC) emits metadata so bare @Autowired() works there, but the explicit form is safer as a default habit. This is especially visible with MCP — an uninjected service returns a generic 500 with no obvious cause.
Documentation
forinda.github.io/kick-js/guide/mcp — full guide with transports, auto mode, dispatch internals, context decorator auth, Inspector setup, and security notes.
License
MIT
