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Props Labs MCP Servers

by Props Labs

A collection of Model Context Protocol (MCP) servers. These servers enable AI models to interact with external tools and services.

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What is Props Labs MCP Servers?

This repository contains a collection of Model Context Protocol (MCP) servers. MCP is a standardized way for AI models to interact with external tools and services, enabling them to access real-time data, perform actions, and integrate with various APIs.

How to use Props Labs MCP Servers?

Each MCP server has its own documentation with setup instructions. Navigate to the specific server's directory to learn more.

Key features of Props Labs MCP Servers

  • Standardized AI interaction

  • Real-time data access

  • API integration

  • Extensible architecture

Use cases of Props Labs MCP Servers

  • AI assistant integration with external tools

  • Automated data retrieval for AI models

  • Real-time decision making by AI agents

  • Connecting AI models to various services

FAQ from Props Labs MCP Servers

What is MCP?

The Model Context Protocol (MCP) is a standardized way for AI models to interact with external tools and services.

How do I get started?

Navigate to the specific server's directory to find setup instructions.

Can I contribute?

Yes, contributions are welcome. Please submit pull requests or open issues.

What is the license?

The collection of MCP servers is licensed under the MIT License.

What servers are available?

Currently, the repository includes an MCP Server for the Fireflies.ai API.