ProtoLinkAI ๐
@StevenROyola
Simplifying MCP server interactions for seamless AI integration.
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.