M
MonadWorks/agentify
Turn an OpenAPI spec into MCP servers, skills and agent docs
在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网
安装与配置
- 复制上面的命令
- 粘成
claude_desktop_config.json里mcpServers的一项（本地服务器用 command + args，示例见 客户端接法） - 重启客户端
客户端配置（取自该仓库的安装命令）
{
"mcpServers": {
"monadworks-agentify": {
"command": "npx",
"args": ["agentify-cli"]
}
}
}解析自我们于 2026-11-05 抓取的该仓库 README；我们未执行过。
command/args 来自仓库写明的安装命令；不确定时请以该项目 README 为准。
VS Code（.vscode/mcp.json —— 键名是 servers）
{
"servers": {
"monadworks-agentify": {
"command": "npx",
"args": ["agentify-cli"]
}
}
}VS Code 顶层键是 <code>servers</code>，其余与上面那份相同。
Claude Code（命令行）
claude mcp add --transport stdio monadworks-agentify -- npx agentify-cli
Claude Code 不收 JSON 文件，用这条命令直接加。
配置项的键名以你的客户端为准：客户端与 CLI
- 来源明细
- 收录自 abordage/awesome-mcp 榜单（我们从中收集的条目之一） · 条目类型：MCP 服务
- 收录与活跃
- 收录于 2026-11-05 · 最近见到 2026-11-14 · 共见到 10 次 · 被 10 个来源列出
- 评分构成
- 综合分 1,003 · 10 个来源 · mcp
- 安装
npx agentify-cli
常见问题（答案都来自我们的记录）
怎么安装？
该仓库给出的安装命令是
npx agentify-cli。我们的记录里它是仓库自己提供的；不保证在你的客户端上直接可用。它适合谁 / 用来做什么？
我们把它归在这些标签下: MCP 服务。标签来自条目自身，不是我们强加的分类。
谁维护它、还在更新吗？
我们收录于 2026-11-05；最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
Agentify
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
OpenAPI in. Agent interfaces out.
Your API has new users it doesn't know about yet — AI agents.
Claude Code reads CLAUDE.md. Cursor reads .cursorrules. Codex and Copilot read AGENTS.md. And if you want your API callable as a tool, you need an MCP server. That's a lot of files to write and keep in sync with your API spec.
Agentify reads your OpenAPI spec and writes them all.
bash
npx agentify-cli transform https://petstore.swagger.io/v2/swagger.json
## What You Get
One command generates up to 9 formats from a single OpenAPI spec:
| Format | Used by |
| MCP Server | Claude, ChatGPT, Copilot (with Dockerfile) |
| CLAUDE.md | Claude Code |
| AGENTS.md | Codex, Copilot, Cursor, Gemini CLI |
| .cursorrules | Cursor IDE |
| Skills | Agent platforms |
| llms.txt | LLM search engines |
| GEMINI.md | Gemini CLI |
| A2A Card | Google Agent-to-Agent protocol |
| CLI | A standalone command-line tool that makes real API calls |
## Quick Start
bash
# Transform any OpenAPI spec (Swagger 2.0 or OpenAPI 3.x)
npx agentify-cli transform https://petstore.swagger.io/v2/swagger.json
# Pick specific formats
npx agentify-cli transform ./my-api.yaml -f mcp claude.md agents.md
# Generate a standalone CLI tool
npx agentify-cli transform ./my-api.yaml -f cli -o my-api-cli
# Custom output directory and project name
npx agentify-cli transform https://api.example.com/openapi.json -o ./output -n my-project
Example output:
Agentify v0.4.1
Agent Interface Compiler
+-- 20 endpoints detected -> SMALL API strategy
+-- 3 domains identified (pet, store, user)
+-- Auth: apiKey (SWAGGERPETSTOREAPIKEY)
+-- Strategy: Direct tool mapping — one tool per endpoint
> Generated mcp + claude.md + agents.md + cursorrules + llms.txt + gemini.md + skills + a2a (15 files)
> Output: ./swagger-petstore-mcp-server
> Security scan: PASSED
## Tested on Real APIs
Agentify handles APIs of any size — from 13-endpoint apps to 1,000+ endpoint platforms.
| API | Endpoints | Domains | TypeScript | Server starts |
| Notion | 13 | 5 | PASS | PASS |
| Petstore (Swagger 2.0) | 20 | 3 | PASS | PASS |
| httpbin (non-compliant spec) | 73 | 11 | PASS | PASS |
| Slack Web API | 174 | 55 | PASS | PASS |
| Stripe | 452 | 1 | PASS | PASS |
| GitHub REST API | 1,093 | 43 | PASS | PASS |
Every generated MCP server compiles with zero TypeScript errors and starts immediately. Non-compliant specs (like httpbin) are auto-normalized with warnings instead of rejected. The GitHub REST API — 1,093 endpoints across 43 domains — produces a working server with 1,093 tools.
## How It Works
OpenAPI Spec (URL or file)
PARSE ──> SANITIZE ──> ANALYZE ──> COMPILE ──> EMIT ──> SCAN ──> OUTPUT
Strip unsafe Detect Build IR Run Security
patterns domains, (typed) emitters scan all
auth, generated
API scale code
Agentify parses your spec into an intermediate representation (AgentifyIR), then runs pluggable emitters to produce each output format. Every generated artifact goes through a security scan before being written to disk.
Your API has new users it doesn't know about yet — AI agents.
Claude Code reads CLAUDE.md. Cursor reads .cursorrules. Codex and Copilot read AGENTS.md. And if you want your API callable as a tool, you need an MCP server. That's a lot of files to write and keep in sync with your API spec.
Agentify reads your OpenAPI spec and writes them all.
bash
npx agentify-cli transform https://petstore.swagger.io/v2/swagger.json
## What You Get
One command generates up to 9 formats from a single OpenAPI spec:
| Format | Used by |
| MCP Server | Claude, ChatGPT, Copilot (with Dockerfile) |
| CLAUDE.md | Claude Code |
| AGENTS.md | Codex, Copilot, Cursor, Gemini CLI |
| .cursorrules | Cursor IDE |
| Skills | Agent platforms |
| llms.txt | LLM search engines |
| GEMINI.md | Gemini CLI |
| A2A Card | Google Agent-to-Agent protocol |
| CLI | A standalone command-line tool that makes real API calls |
## Quick Start
bash
# Transform any OpenAPI spec (Swagger 2.0 or OpenAPI 3.x)
npx agentify-cli transform https://petstore.swagger.io/v2/swagger.json
# Pick specific formats
npx agentify-cli transform ./my-api.yaml -f mcp claude.md agents.md
# Generate a standalone CLI tool
npx agentify-cli transform ./my-api.yaml -f cli -o my-api-cli
# Custom output directory and project name
npx agentify-cli transform https://api.example.com/openapi.json -o ./output -n my-project
Example output:
Agentify v0.4.1
Agent Interface Compiler
+-- 20 endpoints detected -> SMALL API strategy
+-- 3 domains identified (pet, store, user)
+-- Auth: apiKey (SWAGGERPETSTOREAPIKEY)
+-- Strategy: Direct tool mapping — one tool per endpoint
> Generated mcp + claude.md + agents.md + cursorrules + llms.txt + gemini.md + skills + a2a (15 files)
> Output: ./swagger-petstore-mcp-server
> Security scan: PASSED
## Tested on Real APIs
Agentify handles APIs of any size — from 13-endpoint apps to 1,000+ endpoint platforms.
| API | Endpoints | Domains | TypeScript | Server starts |
| Notion | 13 | 5 | PASS | PASS |
| Petstore (Swagger 2.0) | 20 | 3 | PASS | PASS |
| httpbin (non-compliant spec) | 73 | 11 | PASS | PASS |
| Slack Web API | 174 | 55 | PASS | PASS |
| Stripe | 452 | 1 | PASS | PASS |
| GitHub REST API | 1,093 | 43 | PASS | PASS |
Every generated MCP server compiles with zero TypeScript errors and starts immediately. Non-compliant specs (like httpbin) are auto-normalized with warnings instead of rejected. The GitHub REST API — 1,093 endpoints across 43 domains — produces a working server with 1,093 tools.
## How It Works
OpenAPI Spec (URL or file)
PARSE ──> SANITIZE ──> ANALYZE ──> COMPILE ──> EMIT ──> SCAN ──> OUTPUT
Strip unsafe Detect Build IR Run Security
patterns domains, (typed) emitters scan all
auth, generated
API scale code
Agentify parses your spec into an intermediate representation (AgentifyIR), then runs pluggable emitters to produce each output format. Every generated artifact goes through a security scan before being written to disk.
收录徽章（可选）
想把收录标记放进 README 就复制这行，可选，不影响收录。
[](https://anclum.com/zh/s/monadworks-agentify/)
- 来源
- awesome · https://github.com/MonadWorks/agentify
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- MCP 服务
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