RepoContext MCP server
by ILoveMyJayLets your AI read a tidy map of your code project instead of the whole thing, saving space and hiding secrets.
AI Library · 4,066 MCP servers
Lets your AI read a tidy map of your code project instead of the whole thing, saving space and hiding secrets.
Lets your AI answer questions about your codebase using a pre-built index instead of guessing.
Lets your AI manage smplkit feature flags, config, logging, audit, and scheduled jobs right from chat.
Let your AI log into your own remote servers over SSH to check, edit, and manage things for you.
Get plain tech stack suggestions and side-by-side comparisons for any project, right in your AI chat.
Check how hard your web pages are for screen-reader users to navigate, with your AI doing the checking.
Lets your AI open a terminal, look at what's on screen, and press keys or type for you.
Lets your AI understand your codebase structure and answer questions about how files and features connect.
Lets your AI scan a Next.js project to find unused files and dead API endpoints.
Lets your AI check your project for port clashes, messy .env files, stale docs, license issues and task timing.
Lets your AI check your written architecture decisions against your real code and flag what no longer matches.
Keeps your coding agents in sync when one part of your project changes and another part has to react.
Lets your AI read and write .aide spec files so it understands your project's intent before touching code.
Let your AI read your API spec, find endpoints, and write TypeScript types for you.
Lets your AI read code by name, make edits, run your tests, and undo changes.
Lets your AI understand your codebase's structure, risks and hidden file links before it edits anything.
Turn your project files into a searchable knowledge graph so your AI can answer questions about your past decisions and code.
Lets your AI map your codebase so it finds the right files and shows what a change would break.
Lets your AI search library documentation offline, using a local file instead of the internet.
Checks your API changes for breaking edits and leaked secrets, and keeps a signed record of what ran.
Lets your AI read and edit files, run commands, and take screenshots on your computer.
Let your AI run commands in a lasting session on your computer, a server over SSH, or a Docker container.
Let your AI search a community knowledge base of real fixes for technical errors and problems.
Lets your AI explore your codebase as a map, so it can trace calls, data flow and structure without reading every file.