Fluent
CreatedFluentData
Build Model Context Protocol (MCP) servers with embedded LLM reasoning capabilities.
About
Fluent MCP is a framework designed for building and managing MCP servers, emphasizing AI integration through embedded language models. It allows for structured development of servers capable of performing complex reasoning, registering and executing tools, and managing prompts. The framework's architecture employs a two-tier LLM structure with reasoning offloading, enhancing token efficiency and reducing costs by separating internal (embedded) and external tools. This approach enables the creation of self-improving AI systems with clear boundaries between exposed and internal functionalities.
Key Features
- Server Scaffolding: Generate new MCP server projects with the proper structure.
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- Tool Separation: Clear distinction between embedded tools (internal) and external tools (exposed).
- LLM Integration: Seamlessly connect to language models from different providers.
- Prompt Management: Load and manage prompts from files with support for tool definitions in frontmatter.
- Reasoning Offloading: Offload complex reasoning from consuming LLMs to embedded LLMs for token and cost efficiency.
Use Cases
- Creating efficient systems that reduce token usage and costs associated with LLMs.
- Building AI systems with self-improving capabilities.
- Developing complex applications by hiding multi-step processes behind simple interfaces.
