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OpenAPITools SDK MCP Server

@kvssankar

基本情報

カテゴリ

開発者ツール

ライセンス

MIT

トランスポート

stdio

作者

kvssankar

OpenAPITools SDK MCP Server について

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

#openapitools#sdk#ai-tools

OpenAPITools SDK MCP Server の設定

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OpenAPITools SDK MCP Server のツール

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ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is OpenAPITools SDK?

OpenAPITools SDK is a Python package that enables developers to manage and execute tools across multiple AI API providers. It provides a unified interface for working with tools in Anthropic's Claude, OpenAI's GPT models, and LangChain frameworks.

How to use OpenAPITools SDK?

Install with pip install reacter-openapitools requests (plus langchain and langchain-core for LangChain). You need Python 3.8+, an API key from OpenAPITools, and access keys for at least one supported AI provider. Use either Local Mode (ToolsAdapter(folder_path="/path/to/tools")) or API Mode (ToolsAdapter(api_key="your_api_key")).

Key features of OpenAPITools SDK

  • Create tools as Python or Bash scripts with standardized I/O
  • Access tools through a single, consistent SDK
  • Integrate tools with Claude, GPT, and LangChain models
  • Build interactive chatbots that use tools for complex tasks
  • Execute all tools locally – no code is sent externally

Use cases of OpenAPITools SDK

  • Build AI assistants that can invoke custom tools to solve user requests
  • Unify tool access across Anthropic, OpenAI, and LangChain with one SDK
  • Run Python or Bash scripts as tools with minimal overhead
  • Create interactive chatbots that combine reasoning with local tool execution

よくある質問

1

Which AI providers are supported?

Anthropic’s Claude, OpenAI’s GPT models, and LangChain frameworks are supported out of the box.

2

What types of tools can I create?

You can create Python tools (executed in-process via `exec()`) and Bash tools (run as subprocesses). Python tools receive arguments via an `input_json` dictionary; Bash tools get JSON on standard input.

3

What are the differences between Local Mode and API Mode?

Local Mode runs tools entirely from a folder on your machine and is preferred. API Mode uses an API key to communicate with OpenAPITools servers and applies rate limits.

4

How is security handled?

All tool execution happens locally within your environment. No code is sent to external servers. Environment variables can be securely passed to tools.

5

What are the runtime dependencies?

Python 3.8 or later, the `reacter-openapitools` and `requests` packages, and optionally `langchain` and `langchain-core` when using the LangChain adapter. You also need API keys for OpenAPITools and at least one AI provider.

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