hackafterdark/context-sherpa
Context Sherpa MCP server provides strong feedback loops for AI coding agents.
Context Sherpa helps software developers improve the accuracy and efficiency of their AI coding agents. It takes your codebase and provides AI agents with precise details about code relationships, definitions, and impact, rather than just raw text files. This helps AI agents write more correct and idiomatic code while dramatically reducing the amount of data (tokens) they need to process.
Use this if you are a software developer frequently using AI coding agents and find them struggling with inaccurate code changes or consuming too many tokens due to irrelevant context.
Not ideal if you need a one-size-fits-all solution for many programming languages or non-code files, as Context Sherpa requires specific tools for each programming language.
Stars
7
Forks
1
Language
Go
License
MIT
Category
Last pushed
Mar 08, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/mcp/hackafterdark/context-sherpa"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
SonarSource/sonarqube-mcp-server
SonarQube MCP Server
cqfn/aibolit-mcp-server
MCP Server for Aibolit Java Static Analyzer: Helping Your AI Agent Identify Hotspots for Refactoring
mitulgarg/env-doctor
Debug your GPU, CUDA, and AI stacks across local, Docker, and CI/CD (CLI and MCP server)
MarcusJellinghaus/mcp-tools-py
MCP server providing code quality checks (pylint and pytest) with smart LLM-friendly prompts for...
helixml/kodit
👩💻 MCP server to index external repositories