Install
$ agentstack add mcp-cahidarda-spec2tools ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Spec2Tools
Dynamically convert OpenAPI specs into AI agent tools at runtime—no code generation required.
Packages
This monorepo contains four packages:
| Package | Description | Install | |---------|-------------|---------| | [@spec2tools/core](./packages/core) | Core utilities for OpenAPI parsing and authentication | npm install @spec2tools/core | | [@spec2tools/sdk](./packages/sdk) | Create AI SDK tools from OpenAPI specifications | npm install @spec2tools/sdk | | [@spec2tools/cli](./packages/cli) | CLI for interacting with OpenAPI-based AI tools | npx @spec2tools/cli | | [@spec2tools/stdio-mcp](./packages/stdio-mcp) | MCP server exposing OpenAPI endpoints as tools via stdio | npx @spec2tools/stdio-mcp |
Quick Start
Using the SDK
import { createTools } from '@spec2tools/sdk';
import { generateText, stepCountIs } from 'ai';
import { openai } from '@ai-sdk/openai';
const tools = await createTools({ spec: './openapi.yaml' });
const result = await generateText({
model: openai('gpt-4o'),
tools,
prompt: 'List all users',
stopWhen: stepCountIs(3)
});
console.log(result.text);
Using the CLI
# Set your OpenAI API key
export OPENAI_API_KEY=your-api-key
# Start the agent with an OpenAPI spec
npx @spec2tools/cli start --spec https://api.example.com/openapi.json
Using as MCP Server
# Add to Claude Code (or any MCP client)
claude mcp add --transport stdio my-api \
-- npx @spec2tools/stdio-mcp ./path/to/openapi.yaml
Code Mode
Collapse all API endpoints into just 2 tools (search + execute), cutting input token usage by ~99.9%:
# MCP server with code mode
claude mcp add --transport stdio my-api \
-- npx @spec2tools/stdio-mcp ./openapi.yaml --code-mode
// SDK with code mode
const tools = await createTools({
spec: './openapi.yaml',
codeMode: true,
});
You can also convert any existing AI SDK tools to code mode:
import { toCodeModeTools } from '@spec2tools/core';
const codeModeTools = toCodeModeTools(existingTools);
Thesis
You have a server. You have an OpenAPI spec. Now, with all the MCP hype, you're told you need to build another server—an MCP server—just so AI agents can call your API. You look it up: define tools, maintain handlers, keep it in sync with your actual API. But wait... you already described your API in OpenAPI. Why do we need to describe it to the agent twice?
Spec2Tools is the alternative. It reads your OpenAPI spec and exposes endpoints as tools—no code generation, no maintenance burden. Use it directly with the AI SDK, or spin up an MCP server instantly from your existing spec.
Development
# Clone the repo
git clone https://github.com/CahidArda/spec2tools.git
cd spec2tools
# Install dependencies
pnpm install
# Build all packages
pnpm build
License
MIT
Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: CahidArda
- Source: CahidArda/spec2tools
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.