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Agent Skill · 研究检索

building-mcp-servers(building MCP servers 搜索)

building-mcp-servers 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

building-mcp-servers 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证为 MIT,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 45,663。

总安装 832周安装 34GitHub Stars 2下载 269核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:building-mcp-servers(building MCP servers 搜索)
来源仓库:https://github.com/mhagrelius/dotfiles
仓库路径:skills/building-mcp-servers
安装命令:
npx skills add https://github.com/mhagrelius/dotfiles --skill building-mcp-servers
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/mhagrelius/dotfiles --skill building-mcp-servers

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

building-mcp-servers 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。适用于 MCP 服务器构建、配置管理和服务部署等研究检索类任务。通过关键词、任务场景或来源线索进行快速定位和结果筛选。

安装命令:npx skills add https://github.com/mhagrelius/dotfiles --skill building-mcp-servers 建议确认权限范围和维护状态,注意是否会触发联网或文件读写操作。

来源仓库内路径:skills/building-mcp-servers

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/mhagrelius/dotfiles --skill building-mcp-serve…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

building-mcp-servers 怎么安装?

在终端执行 npx skills add https://github.com/mhagrelius/dotfiles --skill building-mcp-servers。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

building-mcp-servers 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

building-mcp-servers 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

building-mcp-servers 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

building-mcp-servers 用的人多吗?

公开数据是累计安装 832 次,近一周安装 34 次,下载 269 次,GitHub 2 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

building-mcp-servers 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
building-mcp-servers

building MCP servers 搜索 · 本页

8322调用外部服务MIT未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Building MCP Servers

Reference guide for Model Context Protocol server development (January 2026). Covers TypeScript, Python, and C# implementations with Streamable HTTP transport.

Quick Reference

LanguagePackageVersionTransport
TypeScript@modelcontextprotocol/sdk1.25.1StreamableHTTPServerTransport
Pythonmcp1.25.0transport="streamable-http"
C#ModelContextProtocol.AspNetCore0.6.0-preview.WithHttpTransport()

Transport Status

TransportStatusUse Case
stdioSupportedLocal/CLI (Claude Desktop, Cursor)
Streamable HTTPRecommendedRemote servers, production
SSEDeprecatedLegacy only

Streamable HTTP Transport

Single endpoint replaces dual SSE endpoints. Supports stateful sessions or stateless (serverless) mode.

Protocol Flow

Client                              Server
  |------ POST /mcp ---------------->|  (JSON-RPC messages)
  |<----- JSON or SSE response ------|
  |------ GET /mcp ----------------->|  (Optional: server-initiated)
  |<----- SSE stream ----------------|

Required Headers

POST /mcp HTTP/1.1
Content-Type: application/json
Accept: application/json, text/event-stream
Mcp-Session-Id: <session-id>  # After initialization

TypeScript Implementation

Installation

npm install @modelcontextprotocol/sdk zod express
npm install -D @types/express

Basic Server

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);
Note: Top-level await requires Node.js with ES modules ("type": "module" in package.json or .mjs extension).

Stateless Mode (Serverless)

const transport = new StreamableHTTPServerTransport({
  sessionIdGenerator: undefined  // Disables sessions
});

Python Implementation

Installation

pip install "mcp[cli]"

Basic Server (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 Integration

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# Implementation

Installation

dotnet add package ModelContextProtocol.AspNetCore --prerelease

Basic Server

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 Transport (Local)

var builder = Host.CreateApplicationBuilder(args);

builder.Logging.AddConsole(o => o.LogToStandardErrorThreshold = LogLevel.Trace);

builder.Services
    .AddMcpServer()
    .WithStdioServerTransport()
    .WithToolsFromAssembly();

await builder.Build().RunAsync();

Authentication (OAuth 2.1)

MCP servers are OAuth Resource Servers (not Authorization Servers). Key requirements:

  • PKCE mandatory (S256 method)
  • Resource Indicators (RFC 8707) required
  • Bearer tokens in Authorization header
  • Audience validation on every request

Discovery Endpoints

GET /.well-known/oauth-protected-resource  # Server metadata
GET /.well-known/oauth-authorization-server  # Auth server metadata

Server Response on 401

HTTP/1.1 401 Unauthorized
WWW-Authenticate: Bearer realm="mcp",
  resource_metadata="https://mcp.example.com/.well-known/oauth-protected-resource"

Token Validation (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"]}
        )

Protected Resource Metadata Response

{
  "resource": "https://mcp.example.com",
  "authorization_servers": ["https://auth.example.com"],
  "scopes_supported": ["read", "write", "admin"],
  "bearer_methods_supported": ["header"]
}

OAuth Middleware Integration (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 Middleware Integration (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);

Authenticated Client Request

const transport = new StreamableHTTPClientTransport(
  new URL("https://mcp.example.com/mcp"),
  {
    requestInit: {
      headers: { Authorization: `Bearer ${accessToken}` }
    }
  }
);

Security Anti-Patterns

Anti-PatternFix
Token passthrough to upstream APIsUse separate tokens for upstream calls
Missing audience validationAlways validate aud claim
Tokens in URLsUse Authorization header only

Scope Enforcement in Tools

Check scopes before executing sensitive operations:

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: Use HTTP middleware to validate, then check in tools:

# 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}"
Note: For advanced middleware with per-tool auth context, use fastmcp package (pip install fastmcp) which provides Middleware class and Context.get_state(). The official mcp package provides FastMCP but with simpler middleware options.

Passing Auth Context to Tool Handlers

TypeScript: Store auth on transport or use a request-scoped context:

// 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 (with fastmcp package): Use middleware and context state:

# 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": "..."}

Token Refresh Handling

Access tokens are short-lived (typically 1 hour). Strategies:

  1. Client-side refresh: Clients refresh tokens before expiration and reconnect
  2. Proactive server refresh: Background task refreshes tokens expiring soon
  3. On-demand refresh: Return 401, client refreshes and retries

Recommended pattern: Use short-lived access tokens (5-60 min) with refresh tokens. On 401:

// 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;
  }
}

Migration: SSE to Streamable HTTP

Server Changes

// 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);
});

Client Changes

// 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"));

Backward-Compatible Server

// 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 */);

Client Configuration

Claude Desktop / Claude Code (stdio)

{
  "mcpServers": {
    "my-server": {
      "command": "node",
      "args": ["/path/to/server.js"],
      "env": { "API_KEY": "secret" }
    }
  }
}

Remote Server (Streamable HTTP)

{
  "mcpServers": {
    "remote": {
      "type": "streamable-http",
      "url": "https://mcp.example.com/mcp"
    }
  }
}

Error Handling

Return tool errors (not protocol errors) for model self-correction:

TypeScript:

server.registerTool("query", { /* ... */ }, async ({ sql }) => {
  if (sql.includes("DROP")) {
    return {
      isError: true,
      content: [{ type: "text", text: "Destructive queries not allowed" }]
    };
  }
  // ...
});

Python: Raise exceptions in tools - they're caught and returned as errors:

@mcp.tool()
def query(sql: str) -> dict:
    if "DROP" in sql.upper():
        raise ValueError("Destructive queries not allowed")
    return {"result": "data"}

Common Mistakes

MistakeFix
Using SSE for new serversUse Streamable HTTP
Writing to stdout in stdio serversUse stderr for logs
Missing session ID after initAlways include Mcp-Session-Id header
Not validating OAuth audienceValidate token aud matches your server
Forwarding client tokens upstreamUse separate credentials for upstream APIs

Official Resources

SDKs

Documentation

Testing

npx @modelcontextprotocol/inspector node path/to/server.js

平台分布

Claude Code

32.24%
按下载量换算87

trae

22.18%
按下载量换算60

OpenCode

16.92%
按下载量换算46

Gemini CLI

12.82%
按下载量换算34

Antigravity

9.09%
按下载量换算24

windsurf

3.53%
按下载量换算9

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

通过

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。

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