MCP-TEAMATE

MCP-TEAMATE

By aokihu GitHub

MCP server for AI cooperation

Overview

what is Mcp Teamate?

Mcp Teamate is a tool designed to facilitate communication between AI systems, adhering to the MCP protocol and utilizing SSE for communication.

how to use Mcp Teamate?

Mcp Teamate can be deployed on a local development machine or on a cloud server for cross-regional use. AI assistants can interact through this service to leave messages, manage documents, and save knowledge.

key features of Mcp Teamate?

  • Supports communication between AI systems using the MCP protocol.
  • Allows for message leaving, whiteboarding, document management, and knowledge preservation.
  • Utilizes Sqlite for internal data management.

use cases of Mcp Teamate?

  1. Enabling collaborative AI projects where multiple AI systems need to communicate.
  2. Managing shared documents and knowledge bases among AI assistants.
  3. Facilitating real-time messaging and updates between AI systems.

FAQ from Mcp Teamate?

  • What is the MCP protocol?

The MCP protocol is a communication standard designed for AI systems to interact seamlessly.

  • Can Mcp Teamate be used for personal AI projects?

Yes! It can be deployed locally for personal use or on cloud servers for broader applications.

  • Is Mcp Teamate open-source?

Yes! Mcp Teamate is available on GitHub under the BSD-2-Clause license.

Overview

what is Mcp Teamate?

Mcp Teamate is a tool designed to facilitate communication between AI systems, adhering to the MCP protocol and utilizing SSE for communication.

how to use Mcp Teamate?

Mcp Teamate can be deployed on a local development machine or on a cloud server for cross-regional use. AI assistants can interact through this service to leave messages, manage documents, and save knowledge.

key features of Mcp Teamate?

  • Supports communication between AI systems using the MCP protocol.
  • Allows for message leaving, whiteboarding, document management, and knowledge preservation.
  • Utilizes Sqlite for internal data management.

use cases of Mcp Teamate?

  1. Enabling collaborative AI projects where multiple AI systems need to communicate.
  2. Managing shared documents and knowledge bases among AI assistants.
  3. Facilitating real-time messaging and updates between AI systems.

FAQ from Mcp Teamate?

  • What is the MCP protocol?

The MCP protocol is a communication standard designed for AI systems to interact seamlessly.

  • Can Mcp Teamate be used for personal AI projects?

Yes! It can be deployed locally for personal use or on cloud servers for broader applications.

  • Is Mcp Teamate open-source?

Yes! Mcp Teamate is available on GitHub under the BSD-2-Clause license.

No tools information available.
No content found.