APIFold

APIFold

Turn any REST API into a hosted MCP server. 18 free public servers (GitHub, Stripe, Slack, OpenAI, Notion, and more) — no setup required, bring your own API key.

Category
访问服务器

README

<br /> <p align="center"> <a href="https://apifold.dev" target="_blank"><img width="260" src="public/logo.svg" alt="APIFold"></a> <br /> <br /> <b>Turn any REST API into an MCP server. No code required.</b> <br /> <br /> </p>

CI License Transformer npm Node

APIFold reads an OpenAPI 3.x or Swagger 2.x specification and generates a live, production-ready MCP server endpoint. AI agents — Claude, Cursor, Copilot, or any MCP-compatible client — can connect immediately. Tool calls execute real HTTP requests to real upstream APIs with securely stored credentials. No stubs, no mocks, no glue code.

Quick Start

CLI (fastest)

npx apifold serve ./your-openapi-spec.yaml --base-url https://api.example.com

One command. Your spec becomes a running MCP server with SSE transport on localhost:3000. Connect Claude or Cursor immediately.

From the API Registry

npx apifold serve --registry stripe --base-url https://api.stripe.com

Ships with 8 pre-configured API specs: Stripe, GitHub, Slack, HubSpot, Twilio, OpenAI, Notion, and Petstore.

Hosted Platform

  1. Sign up at apifold.dev
  2. Import a spec (URL, file upload, or browse the registry)
  3. Copy the connection snippet into Claude Desktop or Cursor
  4. Your MCP server is live with a unique endpoint URL

Features

  • OpenAPI 3.x + Swagger 2.0 — auto-converts Swagger 2.0 specs transparently
  • CLI tool — npx apifold serve for zero-config local MCP servers
  • API registry — one-click deploy from 8 curated API specs
  • OAuth 2.0 — Authorization Code (PKCE), Client Credentials, 8 provider presets, auto token refresh
  • Access profiles — tool-level permissions (Read Only / Read-Write / Full Access)
  • Analytics — call volume, latency percentiles, error breakdown, usage quotas
  • Custom domains — use mcp.yourcompany.com with DNS verification
  • Unique endpoint IDs — cryptographic, unguessable URLs per server
  • SSE + Streamable HTTP — both MCP transport modes supported
  • Vault encryption — AES-256-GCM for all stored credentials
  • SSRF protection — DNS pinning, redirect blocking, private IP rejection

CLI

npm install -g @apifold/cli
Command Description
apifold serve <spec> Start an MCP server from an OpenAPI spec
apifold serve --registry stripe Start from a registry spec
apifold transform <spec> Output MCP tool definitions as JSON
apifold validate <spec> Parse-only validation with warnings
apifold init [spec] Generate an apifold.config.yaml template

Config file

# apifold.config.yaml
spec: ./openapi/stripe.yaml
port: 3001
transport: sse
baseUrl: https://api.stripe.com
auth:
  type: bearer
  token: ${STRIPE_API_KEY}
filters:
  tags: [payments, customers]
  methods: [get, post]

Self-Hosting

Development

git clone https://github.com/Work90210/APIFold.git
cd APIFold
pnpm install
cp .env.example .env
docker compose -f infra/docker-compose.dev.yml up -d
pnpm dev

Open http://localhost:3000 to access the dashboard.

Production

cp .env.example .env
# Edit .env with your production values
docker compose -f infra/docker-compose.yml up -d

Using the Transformer Library

The core conversion logic is a standalone MIT-licensed npm package:

npm install @apifold/transformer
import { parseSpec, transformSpec, autoConvert } from "@apifold/transformer";

// Auto-convert Swagger 2.0 if needed
const { spec } = await autoConvert(rawSpec);

// Parse and transform
const parsed = parseSpec({ spec });
const { tools } = transformSpec({ spec: parsed.spec });
// tools = MCPToolDefinition[] ready for any MCP server

Architecture

graph LR
    Spec["OpenAPI / Swagger\nSpec"] --> Transformer

    subgraph MT["APIFold"]
        Transformer["Transformer\n(MIT lib)"]
        Transformer --> Runtime["Runtime\nExpress + SSE"]
        Web["Web App\nNext.js"] --> DB["Postgres 16\nRedis 7"]
        Runtime --> DB
        CLI["CLI Tool\nnpx apifold"]
        Registry["API Registry\n8 specs"]
    end

    Runtime --> Upstream["Upstream API\n(Stripe, GitHub, etc.)"]
    Agent["AI Agent\nClaude, Cursor,\nCopilot, etc."] -- "MCP / SSE" --> Runtime
Component Path Description
Transformer packages/transformer OpenAPI to MCP conversion. Pure functions. MIT licensed.
Runtime apps/runtime Express MCP server with SSE/HTTP, OAuth token refresh, access profiles.
Web App apps/web Next.js dashboard. Import specs, manage credentials, analytics, custom domains.
CLI apps/cli Standalone CLI tool. npx apifold serve for local MCP servers.
Registry packages/registry Curated catalog of 8 validated API specs with one-click deploy.
Types packages/types Shared TypeScript type definitions.
UI packages/ui Design system and component library.

Available Commands

Command Description
pnpm dev Start all services with hot-reload
pnpm build Build all packages
pnpm test Run tests
pnpm lint Lint all packages
pnpm typecheck Type-check all packages
pnpm format Format all files with Prettier
pnpm db:migrate Run database migrations
pnpm db:studio Open Drizzle Studio

Contributing

All code contributions must go through a pull request and be approved before merging. See the contribution guide.

Want to add an API to the registry? See packages/registry/CONTRIBUTING.md.

Security

For security issues, please refer to our security policy. Do not post security vulnerabilities as public GitHub issues.

License

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选