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MCP code intelligence for AI agents

Your agenteverything.

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.

semantic + AST + graph + textblast radius before the edit

What the agent gets back

One plain-English question, grounded code evidence, and impact before the edit starts.

maguyva / grounded answer
Questionplain language

What code handles login and session expiry?

Grounded answercode evidence

Login requests flow through the sign-in route, the shared auth gate, and the session expiry window that decides when access rolls over.

3 grounded hitsranked by signal
SEMLogin route

Starts sign-in, issues the first session, and hands control to the shared auth layer.

src/routes/login.py:18
97%
GRFShared auth gate

Protects signed-in routes and decides whether a request still has a valid session.

src/middleware/auth.py:42
89%
ASTSession expiry window

Defines expiry timing, refresh behavior, and how long session access survives.

src/auth/session.py:11
82%
shared routes
12
nearby tests
4
background jobs
3
Ranked code paths, shared systems, and nearby tests stay in frame before the edit starts.

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

You connect GitHub. Maguyva builds the context.

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.

github cloud pipelines remote mcp 11 tools

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.

We run the pipelines

02

Cloud passes refresh when GitHub changes.

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

Point any MCP client at Maguyva.

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

11 tools. Fewer blind edits.

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

Grounded context instead of one generic search box.

Several lenses. One MCP surface.

Semantic search uses code-specialized embeddings, then joins text, symbol, structural, and dependency retrieval in the same MCP surface.

Results ranked by importance.

Graph centrality pulls the important symbols up and keeps the irrelevant helpers buried.

229 languages. Real extraction.

Custom queries, parser fallbacks, and handler heuristics instead of generic indexing theater.

Check blast radius and dead weight.

Trace dependents, find orphaned code, and kill stale handlers before they confuse the model or widen a refactor.

Remote MCP server

Use the same server wherever your agents work.

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.

Claude Code Claude Desktop Cursor VS Code Windsurf MCP clients

Cloud pipelines do the heavy lifting.

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.

Meet the roster

Ready to connect?

Ready to give your agent codebase context?

Index your first repo in under two minutes. Ground every agent edit in real codebase context. No credit card, no sales call.

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