Fluent MCP Server

What is Fluent MCP?

Fluent MCP is a modern framework for building Model Context Protocol (MCP) servers with intelligent reasoning capabilities. It provides a two-tier LLM architecture with tool separation, enabling embedded reasoning and reasoning offloading for token and cost efficiency.

How to use Fluent MCP?

Install with pip install fluent_mcp. Use the CLI command fluent-mcp new my_server to scaffold a new server, or create one programmatically using scaffold_server(). Define embedded and external tools, configure an LLM provider, then run the server with server.run().

Key features of Fluent MCP

• Reasoning offloading from consuming LLMs to embedded LLMs.
• Clear separation between embedded tools (internal) and external tools.
• Server scaffolding via CLI or programmatic API.
• Integration with multiple LLM providers (e.g., Ollama).
• Tool registry for registering embedded and external tools.
• Prompt management with tool definitions in frontmatter.

Use cases of Fluent MCP

• Building MCP servers that perform complex multi-step reasoning internally.
• Creating self‑improving AI systems where LLMs can build and register their own tools.
• Reducing token usage and cost by offloading reasoning to smaller, specialized models.
• Hiding complex internal processes behind simple external tool interfaces.
• Managing granular tool access per prompt for improved security.