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

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

OpenAPITools SDK MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

Which AI providers are supported?

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

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.

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.

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.

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.

开发工具分类下的更多 MCP 服务器

Foremerge

naw103

Catch intent conflicts before code conflicts. The open-source coordination protocol for coding agents, built above Git.

Nebelus

Nebelus is an enterprise agentic-AI platform for regulated industries. This MCP server exposes the Nebelus Construction API: ~48 tools that give an MCP client full agent build parity — create/update/probe agents, edit ag

Yocoolab

MCP server for AI Agents — exposes Yocoolab feedback threads and design selections as tools

BetterBugs

The BetterBugs MCP (Model Context Protocol) enables you to load BetterBugs bug reports (via report links) directly to your preferred AI Agents and developer environments with MCP Client capabilities (such as Cursor, VS C

Moxie Docs

Jackalope-Dev

Automated codebase documentation for GitHub: searchable docs, MCP context for AI agents, doc drift detection, and Friday Cleanup PRs.