OpenAPITools SDK MCP Server

@kvssankar

代码仓库

基本信息

分类

开发工具

许可证

MIT

传输方式

stdio

作者

kvssankar

关于 OpenAPITools SDK MCP Server

Your APIs, Now AI Tools. Build mcp servers in a minute.

#openapitools#sdk #ai-tools

OpenAPITools SDK MCP Server 配置

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代码仓库

OpenAPITools SDK MCP Server 工具

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概览

What is OpenAPITools SDK?

OpenAPITools SDK is a JavaScript package that enables developers to manage and execute tools across multiple AI API providers, including Anthropic’s Claude, OpenAI’s GPT models, and LangChain frameworks. It provides a unified interface for creating, accessing, and integrating tools as Python or Bash scripts.

How to use OpenAPITools SDK?

Install the package via npm: npm install @reacter/openapitools. Then use an adapter (e.g., AnthropicAdapter) in local mode or a ToolsAdapter with an API key in API mode. Tools are executed as subprocesses (Bash) or spawned threads (Python).

Key features of OpenAPITools SDK

Unified interface for Claude, GPT, and LangChain integration
Create tools as Python or Bash scripts with standardized I/O
Local execution for full privacy and no external code transfer
Supports both local mode (preferred) and API mode
Bash tools are fast in Node.js; Python tools for complex packages
Environment variables can be securely passed to tools

Use cases of OpenAPITools SDK

Build interactive chatbots that use tools to solve complex tasks
Run Python-based tools requiring packages like NumPy or Pandas
Execute lightweight Bash tools for fast, scripted operations in Node.js
Integrate custom tools with Claude, GPT, or LangChain AI assistants
Manage and reuse tool definitions across different AI providers

常见问题

How does OpenAPITools SDK compare to writing tools directly for each provider?

It provides a single SDK to define tools once and use them with Claude, GPT, and LangChain, rather than implementing separate integrations for each platform.

What are the runtime requirements?

Node.js is required for the JS package. Python tools need a Python interpreter installed; Bash tools require a Linux-compatible environment (tested on Linux or WSL, not Windows natively).

Where does tool execution happen and is my data secure?

All tool execution runs locally within your environment—no code is sent to external servers. Environment variables can be passed securely via `input_json["openv"]`.

Are there any known limits or rate limits?

In API mode, rate limits apply (not specified further). Local mode has no network limits, but Python tools have interpreter startup overhead in JS.

What transports or authentication methods are supported?

Local mode uses file-system-based discovery (path to `openapitools` folder). API mode requires an API key (`api_key="your_api_key"`). No OAuth or alternate transports are mentioned.

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