GitHub - mcp-use/mcp-use: mcp-use is the easiest way to interact with mcp servers with custom agents
mcp-use is the easiest way to interact with mcp servers with custom agents - mcp-use/mcp-use
Technical Article
Summary
The document discusses the importance of custom context engineering for LLM-powered agents, emphasizing that developers should explicitly manage all parts of the context window rather than relying solely on standard message formats.
Highlights
- LLMs are stateless functions; output quality depends heavily on input quality.
- All elements influencing context—prompts, retrieved documents, tool call results, memory—should be explicitly managed.
- Standard message-based formats work but are not token‑efficient for complex agents.
- Custom context representations can pack the entire window into a more compact format.
- The guide focuses on prompt and context engineering rather than model hyperparameters or fine‑tuning.
auto-generated
Context
Audience
Developers and AI engineers building production‑grade LLM agents who need practical strategies for efficient context management
DomainLarge Language Model Agents
FormatMarkdown article in a GitHub repository
Accessopen source
Topics
Related
12-factor-agents repositoryPrompt engineering guidesRAG (Retrieval Augmented Generation) techniquesLLM tool call APIs