Your AI tools are powerful. But they're flying blind.

Cursor, Claude Code, Windsurf, Antigravity - they can write great code. But they don't truly know your codebase structure.

1

AI edits UserService.validate()

2

Doesn't know 47 functions depend on its return type

3

Breaking changes ship to production

Traditional Graph RAG vs Grapuco

Traditional approaches give the LLM raw graph edges and hope it explores enough. Grapuco precomputes structure at index time - clustering, tracing, scoring - so tools return complete context in one call.

Traditional Graph RAG

1

LLM receives raw graph

2

Query 1: Find callers

3

Query 2: What files?

4

Query 3: Filter tests?

5

Query 4: High-risk?

6

Answer after 4+ queries

Grapuco Smart Tools

1

impact UserService upstream

2

Pre-structured: 8 callers, 3 clusters, 90%+ confidence

3

Complete answer, 1 query

Core Innovation: Precomputed Relational Intelligence

verified

Reliability - LLM can't miss context, it's already in the tool response

bolt

Token efficiency - No 10-query chains to understand one function

groups

Model democratization - Smaller LLMs work because tools do the heavy lifting

How It Works

Grapuco builds a complete knowledge graph of your codebase through a multi-phase indexing pipeline:

folder_open
PHASE 1

Structure

Walks the file tree and maps folder / file relationships

code
PHASE 2

Parsing

Extracts functions, classes, methods, and interfaces using Tree-sitter ASTs

link
PHASE 3

Resolution

Resolves imports, calls, heritage, constructor inference across files

hub
PHASE 4

Clustering

Groups related symbols into functional communities

route
PHASE 5

Processes

Traces execution flows from entry points through call chains

search
PHASE 6

Search

Builds hybrid search indexes for fast retrieval

account_tree
data_object

Deep AST Parsing

Our proprietary engine deconstructs your codebase into its foundational tokens. We don't just read text; we understand the hierarchical structure of your logic.

TypeScriptTypeScriptJavaScriptJavaScriptPythonPythonJavaJavaGoGo+7 More
query_stats

Semantic Search

Vectorized symbols with pgvector for natural language code querying. Find logic, not just strings.

Vector Dimensions768
AI ENHANCED

AI Context Enrichment

Powered by Embedding Models. We execute deep process detection and semantic community enrichment to give your AI agents the global context they lack.

  • check_circleDependency Mapping
  • check_circleIntent Classification
  • check_circleSide-effect Analysis
  • check_circleType Inference

12 Languages Supported

From JavaScript to Swift, from C to Rust - we parse them all.

TypeScriptTypeScript
JavaScriptJavaScript
PythonPython
JavaJava
GoGo
RustRust
CC
C++C++
C#C#
PHPPHP
RubyRuby
SwiftSwift

Language Support Matrix

13 languages with deep structural analysis capabilities

LanguageImportsNamedExportsHeritageTypesCtorConfigFrameworksEntry
TypeScript✓✓✓✓✓✓✓✓✓
JavaScript✓✓✓✓-✓✓✓✓
Python✓✓✓✓✓✓✓✓✓
Java✓✓✓✓✓✓-✓✓
C#✓✓✓✓✓✓✓✓✓
Go✓-✓✓✓✓✓✓✓
Rust✓✓✓✓✓✓-✓✓
PHP✓✓✓-✓✓✓✓✓
Ruby✓-✓✓-✓-✓✓
Swift--✓✓✓✓✓✓✓
C--✓-✓✓-✓✓
C++--✓✓✓✓-✓✓
Imports - cross-file import resolution · Named - import { X as Y } / re-export tracking · Exports - public/exported symbol detection · Heritage - class inheritance, interfaces, mixins · Types - explicit type extraction · Ctor - constructor inference (self/this resolution) · Config - toolchain config parsing · Frameworks - AST-based framework detection · Entry - entry point scoring

What can you do with Grapuco?

Real scenarios, real answers. Ask a question, get complete context instantly.

warning
Impact Analysis

"I need to change the login function. What will break?"

WILL BREAK3
  • Login handler
  • Registration handler
  • User controller
LIKELY AFFECTED1
  • Auth router

Grapuco instantly maps every function, file, and flow that depends on your change - before you make it.

search
Smart Search

"Where is the authentication logic in this project?"

LoginFlow7
  • validateUser → checkPassword → createSession → ...
RegistrationFlow5
  • registerUser → sendOTP → verifyEmail → ...

Instead of random file matches, you get complete execution flows grouped by business process.

hub
360° Context

"Tell me everything about the validateUser function."

CALLED BY3
  • handleLogin
  • handleRegister
  • UserController
CALLS INTO2
  • checkPassword
  • createSession
PART OF2
  • LoginFlow (step 2/7)
  • RegistrationFlow (step 3/5)

Full relationship map: who calls it, what it calls, and which business flows it belongs to.

verified
Pre-Commit Check

"I changed 4 files today. Is it safe to commit?"

CHANGED12
  • 12 symbols across 4 files
RISK: MEDIUM3
  • LoginFlow affected
  • RegistrationFlow affected
  • PaymentFlow OK

Know the blast radius of every commit before it ships. No more surprise breaking changes.

edit
Smart Rename

"Rename validateUser to verifyUser across the entire codebase."

FILES5
  • 5 files, 8 edits total
HIGH CONFIDENCE6
  • 6 graph-based edits (safe)
REVIEW2
  • 2 text matches (check manually)

Graph-powered renaming finds structural references, not just text matches. Knows the difference between a function call and a comment.

Get Started in Seconds

Just point your MCP-compatible tool at Grapuco:

.cursor/mcp.json
{
  "mcpServers": {
    "grapuco": {
      "url": "https://api.grapuco.com/mcp"
    }
  }
}
Start Graphing Free →