DeepSeek MCP-like Server for Terminal
by OthmaneBlial
This project is a prototype implementation of an MCP‑like server using the DeepSeek API. It demonstrates the core concepts behind the Model Context Protocol (MCP) by exposing endpoints that allow AI assistants to interact with a terminal session.
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What is DeepSeek MCP-like Server for Terminal?
This server is a prototype implementation of an MCP-like server using the DeepSeek API. It allows AI assistants to list available tools and invoke commands on an active shell session, integrating with an AI chat (DeepSeek) that can trigger command execution.
How to use DeepSeek MCP-like Server for Terminal?
To use this server, clone the repository, set up a virtual environment, install dependencies, configure your DeepSeek API key, and run the server.py script. You can then access the chat interface at http://127.0.0.1:5000 and interact with the AI assistant.
Key features of DeepSeek MCP-like Server for Terminal
Chat Interface
AI Integration with DeepSeek API
Terminal Command Execution via Bash session
MCP Endpoints (/mcp/list_tools, /mcp/call_tool)
Use cases of DeepSeek MCP-like Server for Terminal
Developing AI assistants that can interact with the terminal
Prototyping MCP integrations
Automating tasks through AI-driven command execution
Creating chat interfaces that can execute shell commands
FAQ from DeepSeek MCP-like Server for Terminal
Is this a fully compliant MCP server?
Is this a fully compliant MCP server?
No, this is a prototype and not fully compliant with the Anthropic MCP definition. It requires further enhancements for production use.
What are the prerequisites for running this server?
What are the prerequisites for running this server?
You need Python 3.8+, pip, and a valid DeepSeek API key.
How do I configure my DeepSeek API key?
How do I configure my DeepSeek API key?
Update the DEEPSEEK_API_KEY in the .env file with your API key.
What are the available MCP endpoints?
What are the available MCP endpoints?
The server provides /mcp/list_tools and /mcp/call_tool endpoints for tool discovery and invocation.
What are the future improvements planned for this project?
What are the future improvements planned for this project?
Future improvements include implementing JSON-RPC, adding SSE for real-time updates, enhancing session management and security, and modularizing the code architecture.