mcp-server

mcp-server

3.4

The Model Context Protocol (MCP) server is designed to facilitate interactions with LLM and MCP technologies, providing a structured environment for managing model contexts.

The Model Context Protocol (MCP) server is a robust platform that enables seamless interaction with large language models (LLMs) and other MCP technologies. It provides a structured environment for managing and executing model contexts, allowing users to efficiently handle complex data interactions. The server is designed to be user-friendly, with a focus on scalability and flexibility, making it suitable for a wide range of applications. By leveraging the power of MCP, users can enhance their data processing capabilities, streamline workflows, and improve overall system performance. The server supports various tools and resources, ensuring that users have access to the necessary components for effective model management.

Features

  • Seamless integration with LLM and MCP technologies.
  • User-friendly interface for managing model contexts.
  • Scalable architecture for handling large datasets.
  • Flexible configuration options to suit different use cases.
  • Comprehensive toolset for enhanced data processing.

Usage with Different Platforms

mcp

bash
git clone https://github.com/TaiserAI/mcp-server.git
cd mcp-server
cp .env.example .env
# Add your ETH_CREDITS_NFT_PRIVATE_KEY to the .env file
npm install
npm run build
npm run inspector
# Open http://127.0.0.1:6274/ with your browser
# Example interaction:
# > Connect 
# > List tools
# > IPOR-VAULT
# Amount to deposit: 1
# vault: 0x45aa96f0b3188D47a1DaFdbefCE1db6B37f58216
# rcpUrl: https://mainnet.base.org/

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