Connect your GitHub
01
Connect the repo once.
Authorize GitHub, pick the repo, and Maguyva starts building context over code, docs, symbols, and dependency paths in the cloud.
Free tier available. See plans →
MCP code intelligence for AI agents
Every run starts cold. Maguyva gives your agent a map of the codebase before it starts editing — so it makes fewer avoidable mistakes.
One MCP integration across 11 tools and 229 languages for Claude Code, Claude Desktop, Cursor, VS Code, Windsurf, and other MCP-compatible clients.
What the agent gets back
One plain-English question, grounded code evidence, and impact before the edit starts.
What code handles login and session expiry?
Login requests flow through the sign-in route, the shared auth gate, and the session expiry window that decides when access rolls over.
Starts sign-in, issues the first session, and hands control to the shared auth layer.
Protects signed-in routes and decides whether a request still has a valid session.
Defines expiry timing, refresh behavior, and how long session access survives.
Real coverage
229 languages
Real extraction across the long tail.
One integration
11 MCP tools
Search, symbols, graph, and text in one surface.
Any client
Remote MCP
Claude Code, Claude Desktop, Cursor, VS Code, Windsurf, and other MCP-compatible clients.
Search modes
5 modalities
See what an edit touches before it happens.
What happens
The loop is simple: connect GitHub, let the cloud pipelines keep the repo fresh, connect an MCP client with your API key, and give the agent grounded tools before it edits.
Connect your GitHub
01
Authorize GitHub, pick the repo, and Maguyva starts building context over code, docs, symbols, and dependency paths in the cloud.
We run the pipelines
02
High-velocity indexing and ranking jobs rerun automatically so semantic, symbol, structural, and dependency views stay current without turning your laptop into build infrastructure.
Use the API key
03
You get an API key and connect Claude Code, Cursor, VS Code, Windsurf, Codex, or another MCP-compatible client to the remote Maguyva server.
Agent tooling
04
Your agent can search semantically, inspect symbols, trace dependencies, pull files, and validate impact before it changes code, which is how it makes fewer mistakes.
What the agent gets back
Semantic search uses code-specialized embeddings, then joins text, symbol, structural, and dependency retrieval in the same MCP surface.
Graph centrality pulls the important symbols up and keeps the irrelevant helpers buried.
Custom queries, parser fallbacks, and handler heuristics instead of generic indexing theater.
Trace dependents, find orphaned code, and kill stale handlers before they confuse the model or widen a refactor.
Remote MCP server
11 MCP tools behind your API key and the remote MCP endpoint. Documented today for Claude Code, Claude Desktop, Cursor, VS Code, Windsurf, and other MCP-compatible clients.
Initial sync takes 2 to 15 minutes depending on repo size, then GitHub changes trigger fresh parsing, ranking, and indexing on our side so your local machine does not need to cosplay as build infrastructure.
229+
Languages
23.5K+
Commits
32
AI agents
2.4M+
Lines of code
Operator loop
Built by 2 humans and a swarm of AI agents. The team page is the operating model, not a fake executive org chart.
Ready to connect?
Index your first repo in under two minutes. Ground every agent edit in real codebase context. No credit card, no sales call.