接入你的智能体
从发布者处安装。不是 PlugMCP 端点。
远程 URL 还是本机命令？ 两种安装方式的区别
来自发布者
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.
Agent Interface Compiler — One command. Every agent speaks your product. Transform OpenAPI specs into MCP Servers, Skills, CLAUDE.md, AGENTS.md, and more.
npx agentify-cli transform https://petstore.swagger.io/v2/swagger.json
One command generates up to 9 formats from a single OpenAPI spec:
# 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 (SWAGGER_PETSTORE_API_KEY)
+-- 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
Agentify handles APIs of any size — from 13-endpoint apps to 1,000+ endpoint platforms.
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.
OpenAPI Spec (URL or file)
|
v
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.
Security built in:
eval, exec, Function constructor injection)New emitters are welcome. Each one implements a simple interface:
import type { Emitter, AgentifyIR, EmitterOptions, EmitterResult } from "../types";
export class MyFormatEmitter implements Emitter {
readonly name = "my-format";
readonly format = "my-format";
async emit(ir: AgentifyIR, options: EmitterOptions): Promise<EmitterResult> {
// Generate output files from the IR
return { format: this.format, filesWritten: [...], warnings: [] };
}
}
agentify/
+-- src/
| +-- cli.ts # CLI entry point
| +-- parser/ # OpenAPI parsing + sanitization
| +-- generator/ # Pluggable emitters for each format
| +-- security/ # Input sanitization + output scanning
| +-- types.ts # AgentifyIR type definitions
+-- test/ # Vitest test suite (136 tests)
This is early. It works on Swagger 2.0 and OpenAPI 3.x specs, handles auth detection, domain grouping, and API scale analysis. If you try it and something breaks, open an issue — that helps a lot.
Agent Interface Compiler — One command. Every agent speaks your product. Transform OpenAPI specs into MCP Servers, Skills, CLAUDE.md, AGENTS.md, and more.
工具
暂无工具列表。远程服务器在首次健康检查后会获得工具列表。
常见问题
在本页复制适用于 Cursor、Claude Desktop、Claude Code 或 VS Code 的 stdio 配置。它使用发布者的安装方式，而不是 PlugMCP 代理。
此记录未列出必需的环境变量。
Agentify 通过 stdio 在本地运行。
上次检查时间：2026-10-27。 Agent Interface Compiler — One command. Every agent speaks your product. Transform OpenAPI specs into MCP Servers, Skills, CLAUDE.md, AGENTS.md, and more.
