关于 building-mcp-servers
面向开发者的 MCP 服务实现指南,涵盖 TypeScript、Python 和 C#。内容包括传输方式、OAuth 2.1 安全、工具处理与客户端配置,也介绍从旧版 SSE 迁移到 Streamable HTTP。
主要功能
- 01TypeScript、Python 和 C# 示例
- 02Streamable HTTP 与 stdio 传输
- 03OAuth 2.1 身份验证指南
- 04工具范围与错误处理
- 05SSE 迁移模式
- 06MCP 客户端配置
适用场景
- 01使用支持的语言构建 MCP 服务
- 02通过 Streamable HTTP 部署远程服务
- 03添加 OAuth 保护和范围检查
- 04将 SSE 服务迁移到 Streamable HTTP
MCP 相关
本指南讲解如何实现向 MCP 客户端提供工具的 MCP 服务,涵盖传输方式、身份验证和配置,并提供 stdio 与 Streamable HTTP 的客户端连接示例。
安装
复制下面的命令,在终端中运行。
npx skills add https:/ / github.com/ mhagrelius/ dotfiles --skill building-mcp-servers安装后在 Claude Code 中输入/building-mcp-servers确认已加载。
详细介绍
构建 MCP 服务
Model Context Protocol 服务端开发参考指南(2026 年 1 月)。涵盖使用 Streamable HTTP 传输的 TypeScript、Python 和 C# 实现。
快速参考
| 语言 | 包 | 版本 | 传输方式 |
|---|---|---|---|
| TypeScript | @modelcontextprotocol/sdk | 1.25.1 | StreamableHTTPServerTransport |
| Python | mcp | 1.25.0 | transport="streamable-http" |
| C# | ModelContextProtocol.AspNetCore | 0.6.0-preview | .WithHttpTransport() |
传输状态
| 传输方式 | 状态 | 使用场景 |
|---|---|---|
| stdio | 支持 | 本地/命令行(Claude Desktop、Cursor) |
| Streamable HTTP | 推荐 | 远程服务、生产环境 |
| SSE | 已弃用 | 仅用于旧版 |
Streamable HTTP 传输
单一端点取代了双 SSE 端点。支持有状态会话或无状态(无服务器)模式。
协议流程
Client Server
|------ POST /mcp ---------------->| (JSON-RPC messages)
|<----- JSON or SSE response ------|
|------ GET /mcp ----------------->| (Optional: server-initiated)
|<----- SSE stream ----------------|
必需的标头
POST /mcp HTTP/1.1
Content-Type: application/json
Accept: application/json, text/event-stream
Mcp-Session-Id: <session-id> # After initialization
TypeScript 实现
安装
npm install @modelcontextprotocol/sdk zod express
npm install -D @types/express
基础服务端
import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
import { StreamableHTTPServerTransport } from "@modelcontextprotocol/sdk/server/streamableHttp.js";
import { z } from "zod";
import express from "express";
const app = express();
app.use(express.json());
const server = new McpServer({
name: "my-server",
version: "1.0.0"
});
// Tool
server.registerTool("add", {
description: "Add two numbers",
inputSchema: { a: z.number(), b: z.number() }
}, async ({ a, b }) => ({
content: [{ type: "text", text: String(a + b) }]
}));
// Resource
server.registerResource(
"config",
"config://app",
{ description: "App configuration" },
async (uri) => ({
contents: [{ uri: uri.href, text: JSON.stringify({ env: "prod" }) }]
})
);
// Prompt
server.registerPrompt("review", {
description: "Code review",
argsSchema: { code: z.string() }
}, ({ code }) => ({
messages: [{ role: "user", content: { type: "text", text: `Review:\n${code}` } }]
}));
// Transport
const transport = new StreamableHTTPServerTransport({
sessionIdGenerator: () => crypto.randomUUID()
});
await server.connect(transport);
app.all("/mcp", async (req, res) => {
await transport.handleRequest(req, res);
});
app.listen(3000);
注意: 顶层
await需要使用 ES 模块的 Node.js(在 package.json 中设置"type": "module"或使用.mjs扩展名)。
无状态模式(无服务器)
const transport = new StreamableHTTPServerTransport({
sessionIdGenerator: undefined // Disables sessions
});
Python 实现
安装
pip install "mcp[cli]"
基础服务端(FastMCP)
from mcp.server.fastmcp import FastMCP, Context
from typing import List
mcp = FastMCP("my-server")
# Tool
@mcp.tool()
def add(a: int, b: int) -> int:
"""Add two numbers."""
return a + b
# Async tool with progress
@mcp.tool()
async def process_files(files: List[str], ctx: Context) -> str:
"""Process files with progress."""
for i, f in enumerate(files):
await ctx.report_progress(i + 1, len(files))
return f"Processed {len(files)} files"
# Resource
@mcp.resource("config://app")
def get_config() -> dict:
"""App configuration."""
return {"env": "prod", "version": "1.0.0"}
# Dynamic resource
@mcp.resource("users://{user_id}/profile")
def get_user(user_id: str) -> dict:
"""Get user profile."""
return {"id": user_id, "name": f"User {user_id}"}
# Prompt
@mcp.prompt()
def code_review(code: str, language: str = "python") -> str:
"""Code review prompt."""
return f"Review this {language} code:\n\n```{language}\n{code}\n```"
if __name__ == "__main__":
# Streamable HTTP
mcp.run(transport="streamable-http", host="0.0.0.0", port=8000, path="/mcp")
# Or stdio: mcp.run()
FastAPI 集成
from fastapi import FastAPI
from mcp.server.fastmcp import FastMCP
api = FastAPI()
mcp = FastMCP("api-tools")
@mcp.tool()
def query(sql: str) -> dict:
return {"result": "data"}
api.mount("/mcp", mcp.streamable_http_app())
# Run: uvicorn app:api --port 8000
C# 实现
安装
dotnet add package ModelContextProtocol.AspNetCore --prerelease
基础服务端
using System.ComponentModel;
using Microsoft.Extensions.DependencyInjection;
using ModelContextProtocol.Server;
var builder = WebApplication.CreateBuilder(args);
builder.Services
.AddMcpServer()
.WithHttpTransport()
.WithToolsFromAssembly()
.WithPromptsFromAssembly()
.WithResourcesFromAssembly();
var app = builder.Build();
app.MapMcp(); // Maps /, /sse, /messages
app.Run();
// Tools
[McpServerToolType]
public static class MyTools
{
[McpServerTool, Description("Add two numbers")]
public static int Add(
[Description("First number")] int a,
[Description("Second number")] int b) => a + b;
[McpServerTool, Description("Get weather")]
public static async Task<string> GetWeather(
HttpClient http, // Injected from DI
[Description("City name")] string city,
CancellationToken ct)
{
var data = await http.GetStringAsync($"https://api.weather.example/{city}", ct);
return data;
}
}
// Prompts
[McpServerPromptType]
public static class MyPrompts
{
[McpServerPrompt, Description("Code review prompt")]
public static ChatMessage CodeReview(
[Description("Code to review")] string code) =>
new(ChatRole.User, $"Review this code:\n\n{code}");
}
// Resources
[McpServerResourceType]
public static class MyResources
{
[McpServerResource(Name = "config://app"), Description("App config")]
public static string Config() => """{"env": "production"}""";
[McpServerResource(UriTemplate = "docs://{topic}")]
public static string GetDoc([Description("Topic")] string topic) =>
$"Documentation for {topic}";
}
Stdio 传输(本地)
var builder = Host.CreateApplicationBuilder(args);
builder.Logging.AddConsole(o => o.LogToStandardErrorThreshold = LogLevel.Trace);
builder.Services
.AddMcpServer()
.WithStdioServerTransport()
.WithToolsFromAssembly();
await builder.Build().RunAsync();
身份验证(OAuth 2.1)
MCP 服务是 OAuth 资源服务(而非授权服务)。主要要求:
- 必须使用 PKCE(S256 方法)
- 必须使用资源指示符(RFC 8707)
- 在 Authorization 标头中使用 Bearer 令牌
- 对每个请求进行 受众验证
发现端点
GET /.well-known/oauth-protected-resource # Server metadata
GET /.well-known/oauth-authorization-server # Auth server metadata
服务端对 401 的响应
HTTP/1.1 401 Unauthorized
WWW-Authenticate: Bearer realm="mcp",
resource_metadata="https://mcp.example.com/.well-known/oauth-protected-resource"
令牌验证(Python)
import jwt
from jwt import PyJWKClient
class TokenValidator:
def __init__(self, jwks_uri: str, audience: str):
self.jwks = PyJWKClient(jwks_uri)
self.audience = audience
def validate(self, token: str) -> dict:
key = self.jwks.get_signing_key_from_jwt(token)
return jwt.decode(
token, key.key,
algorithms=["RS256"],
audience=self.audience,
options={"require": ["exp", "aud", "iss"]}
)
受保护资源元数据响应
{
"resource": "https://mcp.example.com",
"authorization_servers": ["https://auth.example.com"],
"scopes_supported": ["read", "write", "admin"],
"bearer_methods_supported": ["header"]
}
OAuth 中间件集成(Python/Starlette)
from starlette.applications import Starlette
from starlette.middleware import Middleware
from starlette.middleware.base import BaseHTTPMiddleware
from starlette.responses import JSONResponse
from mcp.server.fastmcp import FastMCP
class BearerAuthMiddleware(BaseHTTPMiddleware):
def __init__(self, app, validator: TokenValidator):
super().__init__(app)
self.validator = validator
async def dispatch(self, request, call_next):
auth = request.headers.get("Authorization", "")
if not auth.startswith("Bearer "):
return JSONResponse(
{"error": "unauthorized"},
status_code=401,
headers={"WWW-Authenticate": 'Bearer realm="mcp"'}
)
try:
token = auth.replace("Bearer ", "")
request.state.auth = self.validator.validate(token)
except Exception:
return JSONResponse({"error": "invalid_token"}, status_code=401)
return await call_next(request)
# Setup
mcp = FastMCP("secure-server")
validator = TokenValidator(
jwks_uri="https://auth.example.com/.well-known/jwks.json",
audience="https://mcp.example.com"
)
app = Starlette(
routes=[Mount("/mcp", app=mcp.streamable_http_app())],
middleware=[Middleware(BearerAuthMiddleware, validator=validator)]
)
OAuth 中间件集成(TypeScript/Express)
import jwt from "jsonwebtoken";
import jwksClient from "jwks-rsa";
const client = jwksClient({ jwksUri: "https://auth.example.com/.well-known/jwks.json" });
const authMiddleware = async (req, res, next) => {
const auth = req.headers.authorization;
if (!auth?.startsWith("Bearer ")) {
return res.status(401).json({ error: "unauthorized" });
}
try {
const token = auth.slice(7);
const decoded = jwt.decode(token, { complete: true });
const key = await client.getSigningKey(decoded.header.kid);
req.auth = jwt.verify(token, key.getPublicKey(), {
audience: "https://mcp.example.com",
algorithms: ["RS256"]
});
next();
} catch (err) {
res.status(401).json({ error: "invalid_token" });
}
};
app.use("/mcp", authMiddleware);
已验证身份的客户端请求
const transport = new StreamableHTTPClientTransport(
new URL("https://mcp.example.com/mcp"),
{
requestInit: {
headers: { Authorization: `Bearer ${accessToken}` }
}
}
);
安全反模式
| 反模式 | 修正方法 |
|---|---|
| 将令牌直接传递给上游 API | 为上游调用使用单独的令牌 |
| 未进行受众验证 | 始终验证 aud 声明 |
| 将令牌放在 URL 中 | 仅使用 Authorization 标头 |
工具中的作用域强制执行
在执行敏感操作前检查作用域:
TypeScript:
const authMiddleware = async (req, res, next) => {
// ... token validation ...
req.auth = { sub: decoded.sub, scopes: decoded.scope?.split(" ") || [] };
next();
};
server.registerTool("delete_user", { /* ... */ }, async ({ userId }, { meta }) => {
const scopes = meta?.auth?.scopes || [];
if (!scopes.includes("admin:write")) {
return { isError: true, content: [{ type: "text", text: "Insufficient scope" }] };
}
// ... perform deletion ...
});
Python: 使用 HTTP 中间件进行验证,然后在工具中检查:
# With Starlette middleware (see OAuth Middleware Integration above)
# Store validated claims in request.state, then check in tool:
@mcp.tool()
def delete_user(user_id: str) -> str:
"""Delete user - requires admin:write scope."""
# Scope enforcement happens at HTTP layer via middleware
# Tool assumes request already passed auth checks
return f"Deleted user {user_id}"
注意: 如需支持按工具提供身份验证上下文的高级中间件,请使用
fastmcp包(pip install fastmcp),该包提供Middleware类和Context.get_state()。官方mcp包提供 FastMCP,但中间件选项较为简单。
将身份验证上下文传递给工具处理程序
TypeScript: 将身份验证信息存储在传输层,或使用请求作用域上下文:
// In middleware: attach to request
req.auth = { sub: decoded.sub, email: decoded.email };
// Pass to tool via server context or closure
const sessions = new Map();
app.all("/mcp", async (req, res) => {
const transport = new StreamableHTTPServerTransport({ /* ... */ });
sessions.set(transport.sessionId, { auth: req.auth });
// Tools access via sessions.get(sessionId)
});
Python(使用 fastmcp 包): 使用中间件和上下文状态:
# pip install fastmcp
from fastmcp import FastMCP, Context
from fastmcp.server.middleware import Middleware, MiddlewareContext
mcp = FastMCP("my-server")
class AuthMiddleware(Middleware):
async def on_call_tool(self, context: MiddlewareContext, call_next):
# Extract and validate token, then store in context
context.fastmcp_context.set_state("user_id", "user_123")
context.fastmcp_context.set_state("scopes", ["read", "write"])
return await call_next()
mcp.add_middleware(AuthMiddleware())
@mcp.tool
async def get_my_profile(ctx: Context) -> dict:
user_id = ctx.get_state("user_id") # Set by middleware
return {"user_id": user_id, "profile": "..."}
令牌刷新处理
访问令牌的有效期较短(通常为 1 小时)。可采用以下策略:
- 客户端刷新: 客户端在令牌过期前刷新,并重新连接
- 服务端主动刷新: 后台任务刷新即将过期的令牌
- 按需刷新: 返回 401,由客户端刷新后重试
推荐模式: 使用有效期较短的访问令牌(5-60 分钟)和刷新令牌。遇到 401 时:
// Client retry logic
async function callWithRefresh(tool: string, args: object) {
try {
return await client.callTool(tool, args);
} catch (err) {
if (err.status === 401) {
accessToken = await refreshAccessToken(refreshToken);
transport.updateHeaders({ Authorization: `Bearer ${accessToken}` });
return await client.callTool(tool, args);
}
throw err;
}
}
迁移:从 SSE 迁移到 Streamable HTTP
服务端变更
// OLD (SSE) - Two endpoints
app.get("/sse", async (req, res) => {
const transport = new SSEServerTransport("/sse/messages", res);
await server.connect(transport);
});
app.post("/sse/messages", async (req, res) => { /* ... */ });
// NEW (Streamable HTTP) - Single endpoint
app.all("/mcp", async (req, res) => {
const transport = new StreamableHTTPServerTransport();
await server.connect(transport);
await transport.handleRequest(req, res);
});
客户端变更
// OLD
import { SSEClientTransport } from "@modelcontextprotocol/sdk/client/sse.js";
const transport = new SSEClientTransport(new URL("http://localhost:3000/sse"));
// NEW
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp.js";
const transport = new StreamableHTTPClientTransport(new URL("http://localhost:3000/mcp"));
向后兼容的服务端
// Support both transports during migration
app.all("/mcp", /* new Streamable HTTP handler */);
app.get("/sse", /* legacy SSE handler */);
app.post("/sse/messages", /* legacy message handler */);
客户端配置
Claude Desktop / Claude Code(stdio)
{
"mcpServers": {
"my-server": {
"command": "node",
"args": ["/path/to/server.js"],
"env": { "API_KEY": "secret" }
}
}
}
远程服务(Streamable HTTP)
{
"mcpServers": {
"remote": {
"type": "streamable-http",
"url": "https://mcp.example.com/mcp"
}
}
}
错误处理
返回工具错误(而非协议错误),以便模型自行纠正:
TypeScript:
server.registerTool("query", { /* ... */ }, async ({ sql }) => {
if (sql.includes("DROP")) {
return {
isError: true,
content: [{ type: "text", text: "Destructive queries not allowed" }]
};
}
// ...
});
Python: 在工具中抛出异常——异常会被捕获并作为错误返回:
@mcp.tool()
def query(sql: str) -> dict:
if "DROP" in sql.upper():
raise ValueError("Destructive queries not allowed")
return {"result": "data"}
常见错误
| 错误 | 修正方法 |
|---|---|
| 为新服务使用 SSE | 使用 Streamable HTTP |
| 在 stdio 服务中向 stdout 写入内容 | 使用 stderr 记录日志 |
| 初始化后缺少会话 ID | 始终包含 Mcp-Session-Id 标头 |
| 未验证 OAuth 受众 | 验证令牌 aud 是否与您的服务匹配 |
| 将客户端令牌转发到上游 | 为上游 API 使用单独的凭据 |
官方资源
SDK
- TypeScript: https://github.com/modelcontextprotocol/typescript-sdk
- Python: https://github.com/modelcontextprotocol/python-sdk
- C#: https://github.com/modelcontextprotocol/csharp-sdk
文档
- 规范: https://modelcontextprotocol.io/specification/2025-11-25
- 传输方式: https://modelcontextprotocol.io/specification/2025-11-25/basic/transports
- 授权: https://modelcontextprotocol.io/specification/2025-11-25/basic/authorization
测试
npx @modelcontextprotocol/inspector node path/to/server.js