@markygab/nest-mcp
NestJS package that provides decorator-based tool discovery, TypeBox/AJV validation, and MCP SDK server construction for building MCP servers.
README
@markygab/nest-mcp
Internal NestJS primitives for defining and serving Model Context Protocol (MCP) tools. The package provides decorator-based tool discovery, TypeBox/AJV input and output validation, explicit parameter injection, and MCP SDK server construction.
It deliberately does not include HTTP routing, authentication, authorization, tenant policy, or application-specific context. Each host application supplies those concerns at its own boundary.
Install and register
Add the workspace package as a dependency, then import NestMcpModule once in
the application's root module or a module visible to all MCP tool providers.
import { Module } from "@nestjs/common";
import { NestMcpModule } from "@markygab/nest-mcp";
import { ProjectsModule } from "./projects/projects.module.js";
@Module({
imports: [NestMcpModule, ProjectsModule],
})
export class AppModule {}
The package uses Nest's DiscoveryService to find decorated providers across
the application container. Tool classes must still be registered as normal
Nest providers in their feature modules.
Define a tool
Use TypeBox schemas for inputs and, where practical, outputs. @McpTools()
assigns the provider to one named MCP server. @McpTool() declares a single
tool, while @McpArgs() and @McpContext() make handler injection explicit.
import { Inject, Injectable } from "@nestjs/common";
import {
McpArgs,
McpContext,
McpTool,
McpTools,
type McpRequestContext,
type McpToolArgs,
} from "@markygab/nest-mcp";
import { Type } from "@sinclair/typebox";
import { ProjectsQueryService } from "./projects-query.service.js";
const GetProjectInput = Type.Object({
id: Type.String({ minLength: 1 }),
});
const GetProjectOutput = Type.Object({
project: Type.Union([
Type.Object({ id: Type.String(), name: Type.String() }),
Type.Null(),
]),
});
type GetProjectInput = McpToolArgs<typeof GetProjectInput>;
@Injectable()
@McpTools("projects_mcp")
export class ProjectsMcp {
constructor(
@Inject(ProjectsQueryService)
private readonly projects: ProjectsQueryService,
) {}
@McpTool({
name: "projects_get",
title: "Get project",
description: "Get a project visible to the current caller.",
inputSchema: GetProjectInput,
outputSchema: GetProjectOutput,
})
async getProject(
@McpArgs() input: GetProjectInput,
@McpContext() context: McpRequestContext,
) {
return {
project: await this.projects.getVisibleTo(context.actorId, input.id),
};
}
}
Tool names must be unique within a named server. Keep handlers thin: enforce application policy and call existing domain services rather than placing vendor-client or persistence logic in MCP classes.
Tool schemas
@McpTool() accepts TypeBox schemas and ordinary JSON Schema for both input
and output. TypeBox remains a convenient authoring option and
McpToolArgs<typeof schema> continues to infer its handler type. For plain
JSON Schema—such as a schema derived from an OpenAPI document—supply your own
generated or application type for the handler argument; arbitrary JSON Schema
is not inferred as TypeScript.
const CreateIssueInputSchema = {
type: "object",
properties: {
priority: { type: "string", enum: ["low", "high"] },
title: { type: "string" },
},
required: ["priority", "title"],
} as const;
type CreateIssueInput = {
priority: "low" | "high";
title: string;
};
@McpTool({
name: "issues_create",
description: "Create an issue",
inputSchema: CreateIssueInputSchema,
})
createIssue(@McpArgs() input: CreateIssueInput) {
return this.issues.create(input);
}
Guard tool invocations
@UseMcpGuards() attaches policy-agnostic guards to a tools class or an
individual tool. Guards run after the input schema is validated and before the
handler. Class guards run first, followed by method guards. Return false or
throw to prevent invocation; the caller receives the normal MCP tool error
response. Pass either a guard instance or an injectable Nest provider class;
provider classes are resolved from the application container.
import { Injectable } from "@nestjs/common";
import {
McpArgs,
McpTool,
McpTools,
UseMcpGuards,
type McpExecutionContext,
type McpGuard,
} from "@markygab/nest-mcp";
const auditGuard: McpGuard = {
canActivate(context: McpExecutionContext) {
// validatedArgs, serverName, toolName, requestContext, and toolOptions
// are available here. Application policy remains outside this library.
return true;
},
};
@Injectable()
class ProjectsAccessGuard implements McpGuard {
canActivate(context: McpExecutionContext) {
return Boolean(context.requestContext.actorId);
}
}
@McpTools("projects_mcp")
@UseMcpGuards(auditGuard, ProjectsAccessGuard)
class ProjectsMcp {
@McpTool({ name: "projects_get", description: "Get a project", inputSchema: GetProjectInput })
@UseMcpGuards({ canActivate: () => true })
getProject(@McpArgs() input: GetProjectInput) {
return { project: input.id };
}
}
Intercept tool invocations
@UseMcpInterceptors() wraps a permitted tool invocation. It accepts
McpInterceptor objects or injectable Nest provider classes and may be applied
to a tools class or a single tool. Provider classes are resolved from the
application container.
Interceptors receive the same McpExecutionContext as guards, including the
validated arguments and trusted request context. Class interceptors enter in
declaration order, then method interceptors; they unwind in reverse order.
Thrown errors propagate to the standard MCP tool error response.
import { Injectable } from "@nestjs/common";
import {
UseMcpInterceptors,
type McpExecutionContext,
type McpInterceptor,
} from "@markygab/nest-mcp";
@Injectable()
class TimingInterceptor implements McpInterceptor {
async intercept(context: McpExecutionContext, next) {
const startedAt = Date.now();
try {
return await next();
} finally {
// Hosts decide whether and where to record this information.
console.log(context.toolName, Date.now() - startedAt);
}
}
}
@UseMcpInterceptors(TimingInterceptor)
class ProjectsMcp {
// @UseMcpInterceptors(...) can also be applied to an @McpTool() method.
}
Request context and policy
McpRequestContext contains common request identifiers, optional actor and
tenant fields, an optional integration object, and allowedToolNames.
Applications can add their own fields when creating the context.
When a request context contains allowedToolNames, the package hides every
other tool from both tools/list and tools/call. Authentication and
authorization should run before the MCP request reaches the package; build the
trusted context from the verified principal and route parameters, never from
model-provided tool arguments.
Serve over HTTP
The host owns the controller, authentication, and request-context mapping. Add
a controller and transport service to the application that imports
NestMcpModule; the example below exposes POST, GET, and DELETE requests
at /mcp/projects_mcp, as required by Streamable HTTP clients.
import {
All,
Controller,
Inject,
Injectable,
Module,
Param,
Req,
Res,
} from "@nestjs/common";
import { StreamableHTTPServerTransport } from "@modelcontextprotocol/sdk/server/streamableHttp.js";
import { McpServerService, type McpRequestContext } from "@markygab/nest-mcp";
import type { Request, Response } from "express";
@Injectable()
export class ProjectsMcpHttpService {
constructor(
@Inject(McpServerService)
private readonly mcpServer: McpServerService,
) {}
async handle(
serverName: string,
request: Request,
response: Response,
context: McpRequestContext,
) {
const transport = new StreamableHTTPServerTransport({
// Use stateless requests when the host does not persist MCP sessions.
sessionIdGenerator: undefined,
});
const server = this.mcpServer.createServer(serverName, context);
await server.connect(transport);
try {
await transport.handleRequest(request, response, request.body);
} finally {
await transport.close();
}
}
}
@Controller("mcp")
export class ProjectsMcpHttpController {
constructor(
@Inject(ProjectsMcpAuthService)
private readonly auth: ProjectsMcpAuthService,
@Inject(ProjectsMcpHttpService)
private readonly http: ProjectsMcpHttpService,
) {}
@All(":serverName")
async handle(
@Param("serverName") serverName: string,
@Req() request: Request,
@Res() response: Response,
) {
const context = this.auth.verifyAuthorization(
request.header("authorization"),
serverName,
);
await this.http.handle(serverName, request, response, context);
}
}
Register these host-side providers alongside the shared module:
@Module({
imports: [NestMcpModule],
controllers: [ProjectsMcpHttpController],
providers: [ProjectsMcpAuthService, ProjectsMcpHttpService],
})
export class ProjectsMcpModule {}
ProjectsMcpAuthService should verify the bearer token and return only trusted
context, for example { requestId, actorId, tenantId, allowedToolNames }.
Bind the token to serverName so a credential issued for projects_mcp cannot
be reused against another named server. If you use stateful MCP sessions,
replace the stateless transport configuration with a host-managed session ID
strategy and retain the corresponding transport for later requests.
The host application owns the corresponding controller, authentication service, and transport service.
Runtime limits
Set these optional environment variables in the host process to bound tool execution and serialized responses:
NEST_MCP_TOOL_TIMEOUT_MSdefaults to15000.NEST_MCP_TOOL_RESPONSE_MAX_BYTESdefaults to128000.
Both values must be positive integers.
Serve over stdio
For a local process, retrieve McpServerService from the Nest application
context and provide the named server explicitly:
const app = await NestFactory.createApplicationContext(AppModule);
await app.get(McpServerService).startStdio("projects_mcp");
Exports
NestMcpModule- registers discovery, validation, invocation, and server providers.McpTools,McpTool,McpArgs,McpContext- tool-definition decorators.McpServerService- creates MCP SDK server instances, lists tools, and calls tools programmatically.McpRequestContext,McpToolArgs,McpToolOptions, and tool metadata types.
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.
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.
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.
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
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.
E2B
Using MCP to run code via e2b.