ProtoLinkAI 🚀

Name: ProtoLinkAI 🚀
Author: StevenROyola

@StevenROyola

Repository Homepage

About ProtoLinkAI 🚀

Simplifying MCP server interactions for seamless AI integration.

#mathgpt #math-solver #math-assistant

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

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

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

FAQ from ProtoLinkAI

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.

How do I install ProtoLinkAI?

Install it via PyPI: pip install ProtoLinkai.

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.

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.

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.