ProtoLinkAI ๐
@StevenROyola
About ProtoLinkAI ๐
Simplifying MCP server interactions for seamless AI integration.
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.
Frequently asked questions
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.
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