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MCP Connection Hub

by claymore666
GitHub
Python
1
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MCP 连接中心

统一的模型上下文协议网关，为AI工具和服务提供中心连接点。

概述

MCP 连接中心充当大型语言模型接口（如 OpenWebUI）与各种工具和服务之间的桥梁。它提供：

  • 统一的 OpenAI 兼容 API 端点
  • 支持同步和异步工具执行
  • 可插拔架构，方便工具集成
  • 针对长期运行操作的全面作业管理
  • 命令行和基于 Web 的管理界面

主要特点

  • OpenAI API 兼容性：与 OpenWebUI 和其他 LLM 接口无缝协作
  • 工具注册表：轻松注册和发现工具功能
  • 作业系统：通过进度跟踪管理长期运行的操作
  • 配置管理：所有系统组件的集中设置
  • 管理界面：CLI 和基于 Web 的管理工具

项目结构

MCPConnectionHub/ ├── app/ # Main application code │ ├── api/ # API endpoints and routes │ ├── cli/ # Command-line interface │ ├── core/ # Core system components │ ├── db/ # Database models and operations │ └── tools/ # Tool implementations ├── docs/ # Documentation └── docker-compose.yml # Docker configuration

安装和设置

（初始开发完成后将添加安装说明）

配置

系统可以通过以下方式配置：

  • 环境变量
  • 配置文件
  • 数据库设置（用于持久配置）

用法

命令行界面

该系统包括一个全面的管理 CLI：

# Show help ./mcp-cli --help # List available tools ./mcp-cli tool list # Check system status ./mcp-cli system status # View configuration ./mcp-cli config get

有关详细信息，请参阅CLI 快速入门指南。

API 使用

（随着系统开发，将添加API使用说明）

开发现状

该项目目前正在积极开发中。请参阅 PROJECT_PROGRESS.md 文件了解当前状态。

This server cannot be installed

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security - not tested
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license - not found
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quality - not tested

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

统一的模型上下文协议网关，连接 LLM 接口与各种工具和服务，提供 OpenAI API 兼容性并支持同步和异步工具执行。

  1. 概述
    1. 主要特点
      1. 项目结构
        1. 安装和设置
          1. 配置
            1. 用法
              1. 命令行界面
              2. API 使用
            2. 开发现状

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