DeepMyst MCP Server
by DeepMyst
DeepMyst MCP Server intelligently optimizes and routes LLM requests for Claude Desktop and HTTP clients using the Model Context Protocol (MCP). It bridges DeepMyst's capabilities with existing workflows, reducing token usage and selecting the optimal LLM for each query.
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What is DeepMyst MCP Server?
DeepMyst MCP Server is a bridge between DeepMyst and Claude Desktop or other clients, enabling the use of DeepMyst's LLM optimization and routing capabilities through the Model Context Protocol (MCP). It allows users to reduce API costs and improve efficiency by intelligently selecting the best model for each query.
How to use DeepMyst MCP Server?
To use the server, first install the prerequisites (Python, UV, Claude Desktop, DeepMyst API key). Then, clone the repository, install dependencies using UV, and run the server with either STDIO (for Claude Desktop) or SSE (for HTTP clients). Configure Claude Desktop to connect to the server by modifying the claude_desktop_config.json file. Use the provided tools (Get Best Model, Optimized Completion, Auto-Routed Completion, Smart Completion, DeepMyst Completion) by sending prompts with the required parameters.
Key features of DeepMyst MCP Server
Token Optimization (up to 75% reduction)
Smart Model Routing
Combined Optimization and Routing
Multiple Transport Support (STDIO, SSE)
Client-provided API Keys
Use cases of DeepMyst MCP Server
Collaborative Multi-LLM Problem Solving
Handling Large Context Windows
Intelligent Task Routing
Web Integration with SSE Transport
FAQ from DeepMyst MCP Server
How do I reduce token usage?
How do I reduce token usage?
DeepMyst identifies redundancies in prompts, intelligently compresses content, preserves key information, and maintains contextual meaning—all while significantly reducing token usage without sacrificing quality.
How does smart routing work?
How does smart routing work?
The system analyzes each query's category, complexity level, and required capabilities. It evaluates available models based on performance benchmarks, token cost, response latency, and capability support through a weighted scoring system.
What are the prerequisites for installation?
What are the prerequisites for installation?
Python 3.8 or higher, UV, Claude Desktop (or another MCP client), and a DeepMyst API key.
How do I configure Claude Desktop to use the server?
How do I configure Claude Desktop to use the server?
Modify the claude_desktop_config.json file to include the DeepMyst MCP server configuration, specifying the command and arguments to run the server with STDIO transport.
How do I connect to the public DeepMyst MCP server?
How do I connect to the public DeepMyst MCP server?
For web clients, use the SSE endpoints. For command-line clients, use the MCP CLI with the SSE transport. For MCP Inspector, use the specified command with the public server URL.