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ProtoLinkAI MCP Server

@StevenROyola

代码仓库主页

基本信息

分类

其他

许可证

NOASSERTION

传输方式

stdio

作者

StevenROyola

关于 ProtoLinkAI MCP Server

Simplifying MCP server interactions for seamless AI integration.

#mathgpt#math-solver#math-assistant

ProtoLinkAI MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "ProtoLink": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "ProtoLinkai",
        "."
      ]
    }
  }
}

ProtoLinkAI 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 ProtoLinkAI?

ProtoLinkAI is a standardized tool wrapping framework built on the Model Context Protocol (MCP) that lets developers implement and manage diverse tools in a unified way. It is designed to help developers quickly integrate and launch tool-based use cases.

How to use ProtoLinkAI?

Install via PyPI (pip install ProtoLinkai), then run locally with ProtoLinkai --local-timezone "America/New_York" or in a Docker container. Configure tools by modifying the agent in Python code or by updating server.py. For Twitter and ElizaOS integration, set environment variables in a .env file or Dockerfile.

Key features of ProtoLinkAI

  • Standardized tool wrapping using the MCP protocol
  • Flexible addition or removal of tools per use case
  • Pre-built tools for Twitter, crypto, time, weather, dictionary, calculator, currency, stocks, and ElizaOS
  • Supports both local execution and Docker containerization
  • Integrates with Claude Desktop via MCP configuration

Use cases of ProtoLinkAI

  • Automate Twitter posting, replying, and interaction management
  • Fetch real-time cryptocurrency prices and stock market data
  • Integrate ElizaOS agents for enhanced AI automation
  • Perform time utilities, weather lookups, dictionary searches, and currency exchange

常见问题

1

What is the Model Context Protocol (MCP)?

MCP is a standard for context sharing and management across AI models and systems, enabling interoperability, scalability, security, and flexibility.

2

How do I install ProtoLinkAI?

Install it via PyPI: `pip install ProtoLinkai`.

3

How do I run ProtoLinkAI?

Run it locally with `ProtoLinkai --local-timezone "America/New_York"` or build and run a Docker container using `docker build -t ProtoLinkai .` and `docker run -i --rm ProtoLinkai`.

4

How do I configure Twitter integration?

Set environment variables for Twitter credentials (username, password, email) and Tweepy API v2 keys (API key, secret, access token, etc.) either in a `.env` file or in a Dockerfile.

5

How do I select only specific tools?

Modify the agent configuration in Python code, for example using `MultiToolAgent([TimeAgent(), WeatherAgent()])` to enable only Time and Weather tools.

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