Code Graph Indexer MCP server
by Nishant-Chaudhary5338Lets your AI map a TypeScript or React codebase and answer who calls, renders, or breaks what.
AI Library · 4,066 MCP servers
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 see your local dev setup: framework, running services, recent errors and git state.
Lets your coding AI claim files, check who is using what, and share notes with other AI agents working in the same project.
Lets your AI pick just the right Python functions for a code change, so it stops breaking things it never saw.
Lets your AI call the web APIs your team already built with the Echo framework, without extra setup.
Lets your AI tidy up code files so they match your project's formatting rules.
Turn your GraphQL queries into tools your AI can run, so it can fetch live data for you.
Lets your AI look up @imqueue docs and draft typed service code for you.
Look up accessible KoliBri web components, their specs, docs, and usage examples right inside your AI chat.
Your AI remembers your team's coding decisions and warns you when new code may break them.
Lets your AI search and understand your codebase locally, saving tokens and time.
Lets your AI look up reviewed fixes for coding problems that other developers already solved.
Let your AI create starter projects in JavaScript, Python, or Go, and combine a frontend with a backend.
Lets your AI look up ready-made expert instructions for 42+ roles, like a code reviewer or a CFO.
Lets your AI edit config files and code safely, with previews and undo, without breaking formatting.
Lets your AI run local checks, proofs, and receipts so its work can be re-checked later.
Lets your AI answer QA questions using ISTQB, OWASP, ISO and EU AI Act standards, and score your test documents.
Lets your AI look up open-source AI models, compare them, and estimate memory and cost for you.
Helps your AI pick only the files a coding task needs, so it uses fewer tokens and answers faster.
Record what your AI agent did once, then replay it the same way every time and get a receipt.
Let your AI read log files, filter events by level or component, and summarize errors for you.
Lets your AI upload a file and hand you back a shareable link, with a checksum and an expiry date.
Lets your AI coding assistant pause and ask you for feedback before it calls a task done.