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Get local-first repository context, metadata, and bounded read plans for coding agents.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "repogrammar_context" yet — see the docs or source repo.
Using the current repository context, identify the directories and files most relevant to the user login flow and provide a prioritized bounded read plan without reading the entire repository.
Returns repository metadata, a candidate file list, and a step-by-step plan for which files to read first.
Without fully reading the codebase, give me a high-level view of the main modules and tell me which areas I should inspect first to modify payment logic.
Outputs a high-level repository map, clues related to payment, and a bounded reading recommendation.
I need to review the data import flow in this project. First provide a source-backed context summary and generate a file reading order from entry points to core implementation.
Provides a repository-context summary and a file reading path from high-level entry points to detailed implementation.
When developers inherit an unfamiliar repository, they can first get source-backed repository context and metadata, then inspect key files through a bounded read plan instead of reading the whole codebase at once.
When connected to a coding agent, it can help the agent understand repository structure and relevant files first, then decide a reading order to locate implementation points more efficiently.
For teams that prefer local-first workflows, this tool provides local-first repository context to support analysis without depending on full file reads.
It is a read-only MCP tool that provides local-first, source-backed repository context for coding agents. It returns metadata and a bounded read plan instead of requiring full file reads first.
Based on the description, its purpose is to avoid depending on full file reads. It focuses on returning repository metadata and a bounded reading plan.
The provided materials do not include installation steps, runtime requirements, or key information. For exact prerequisites, see the source repository.
Gives AI coding agents a structural map of your repository fast.
Index codebases and return query-relevant context packages for AI agents.
Provide shared repo-based context for code agents to reduce overlap and align decisions.
Safely inspect local codebases with indexing, search, outlines, and AI-ready context.
Scan, audit, repair, and monitor project context files for AI coding agents.
Store and retrieve repo patterns so models understand projects instantly.