LLM Context MCP server
by cyberchittaLet your AI pick the right files from your code project and pack them into a tidy context for a chat or another AI.
AI Library · 4,066 MCP servers
Let your AI pick the right files from your code project and pack them into a tidy context for a chat or another AI.
Let your AI check JSON, API responses, and SQL for mistakes before you trust them.
Lets your AI search and understand your codebase by meaning, not just keywords.
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 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 written architecture decisions against your real code and flag what no longer matches.
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.
Lets your AI map your codebase so it finds the right files and shows what a change would break.
Lets your AI read and edit files, run commands, and take screenshots on your computer.
Lets your AI explore your codebase as a map, so it can trace calls, data flow and structure without reading every file.
Lets your AI map your codebase and jump straight to the files that matter instead of reading everything.
Lets your AI read code errors, jump to definitions, rename things and run language-specific helpers in your project.
Lets your AI search your codebase by meaning, symbols, and callers instead of endless file scans.
Lets your AI write, run, and fix API tests, then explain what broke and how to fix it.
Lets your AI find and edit code by name, remember past decisions, and tidy up messy command output.
Give your AI a lasting memory of your code so it can find functions fast and remember what you did.
Check which lines of your code break when you upgrade a library, and catch made-up API calls.
Lets your AI map a TypeScript or React codebase and answer who calls, renders, or breaks what.
Lets your AI learn your team's coding patterns and check what a change will affect before it edits.
Lets your AI pick just the right Python functions for a code change, so it stops breaking things it never saw.