{"repo":"hackafterdark/context-sherpa","free":true,"listed":false,"github":"https://github.com/hackafterdark/context-sherpa","clone":"git clone https://github.com/hackafterdark/context-sherpa.git","description":"Context Sherpa MCP server provides code mapping, deterministic feedback loops, and tiered inference for AI coding agents to increase accuracy and optimize token usage.","language":"Go","stars":27,"topics":["ai","mcp","mcp-server"],"license":"MIT","category":"mcp-servers","readme_excerpt":"Context Sherpa Context Sherpa is a specialized platform for Context Engineering . It bridges the gap between developers and AI coding agents by providing LLMs with the precise, high-fidelity signals they need to operate with expert-level accuracy while dramatically reducing token consumption. Why Context Engineering? Agentic coding tools often struggle with either \"hallucinating\" codebase relationships or overwhelming their context windows with irrelevant files. Context Sherpa solves this through two primary goals: 1. Increase Accuracy : Provide AI agents with strong, symbolic signals (definitions, references, and impact analysis) to ensure code changes are correct and idiomatic. 2. Optimize Context : Using SCIP-based indexing and structural analysis, Context Sherpa allows agents to pinpoint exactly what they need, often reducing the tokens required for a task by up to 90% compared to raw file-searching. An Optimized Alternative Traditional tools like grep are fast but lack symbol awareness, while semantic search often returns noisy, over-processed results. Context Sherpa's tool suite is designed as a high-fidelity alternative: - vs. Grep : SCIP indexing provides precise symbol-resolution (definitions vs. references), eliminating the guesswork of text-based search. - vs. Semantic Search : Where vectors often fail to distinguish between similar-looking code, our Structural Analysis (ast-grep) uses the code's abstract syntax tree for exact pattern matching— no vector databases ","default_branch":null,"files":null,"tree":[],"storefront":"/r/hackafterdark","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/hackafterdark/context-sherpa/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}