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octocode

bymuvon· 2 MCP servers

Stars

436

Forks

43

Category

Code Review & Refactor

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TL;DR

Give your AI assistant a brain for your codebase. Octocode transforms your project into a navigable knowledge graph that Claude, Cursor, and other AI agents can search, understand, and navigate.

How to install octocode?

muvon/octocode
$git clone https://github.com/muvon/octocode

Installs into the current project.

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Install & use

Install octocode by running `git clone https://github.com/muvon/octocode`, then use it for the current task and follow its documentation at https://github.com/muvon/octocode.

Files · 1

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README.md
1<div align="center">
2 
3<img src="https://raw.githubusercontent.com/Muvon/octocode/master/logo.svg" width="240" alt="Octocode">
4 
5### **Structural Code Intelligence for AI Agents — MCP Server + Knowledge Graph + Semantic Search**
6 
7[![GitHub stars](https://img.shields.io/github/stars/Muvon/octocode?style=social)](https://github.com/Muvon/octocode/stargazers)
8[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
9[![Rust](https://img.shields.io/badge/Rust-1.82%2B-orange.svg)](https://www.rust-lang.org)
10[![Release](https://img.shields.io/github/v/release/Muvon/octocode)](https://github.com/Muvon/octocode/releases)
11 
12**Give your AI assistant a brain for your codebase.** Octocode transforms your project into a navigable knowledge graph that Claude, Cursor, and other AI agents can search, understand, and navigate.
13 
14[🚀 Quick Start](#-quick-start) • [🤖 MCP Integration](#-mcp-server-integration) • [📖 Documentation](#-documentation) • [🌐 Website](https://octocode.muvon.io)
15 
16<a href="https://glama.ai/mcp/servers/Muvon/octocode">
17 <img width="300" src="https://glama.ai/mcp/servers/Muvon/octocode/badge" alt="Octocode MCP server" />
18</a>
19 
20</div>
21 
22---
23 
24## 🤖 Built for AI Agents
25 
26**The Problem:** AI assistants are blind to your codebase. They can't search your files, understand dependencies, or remember context across sessions.
27 
28**The Solution:** Octocode's MCP server gives AI agents:
29- 🔍 **Semantic search** — Find code by meaning, not keywords
30- 🕸️ **Knowledge graph** — Navigate imports, calls, and dependencies
31- 📝 **Code signatures** — View structure without reading entire files
32- 🧠 **Persistent memory** — Remember decisions across conversations
33 
34**Works with:** Claude Desktop • Cursor • Windsurf • Any MCP-compatible AI
35 
36```json
37// Add to your AI assistant config
38{
39 "mcpServers": {
40 "octocode": {
41 "command": "octocode",
42 "args": ["mcp", "--path", "/your/project"]
43 }
44 }
45}
46```
47 
48Now your AI assistant can:
49```
50You: "Where is authentication handled?"
51AI: *searches your codebase* "Authentication is in src/middleware/auth.rs,
52 which imports jwt.rs for token validation and calls user_store.rs for lookup."
53 
54You: "What files depend on the payment module?"
55AI: *queries knowledge graph* "src/api/handlers/payment.rs imports payment/mod.rs,
56 which is also used by src/workers/refund.rs and src/cron/billing.rs"
57 
58You: "Remember this bug fix for future reference"
59AI: *stores in memory* "Got it. I'll remember this authentication bypass fix
60 and apply similar patterns when reviewing security code."
61```
62 
63## 🤔 Why Octocode?
64 
65**Standard RAG treats your code as flat text chunks.** It finds similar-sounding snippets but has no idea that `auth_middleware.rs` imports `jwt.rs`, calls `user_store.rs`, and is wired into `router.rs`. Octocode understands *structure*.
66 
67```
68# Semantic search finds the right code
69octocode search "authentication middleware"
70→ src/middleware/auth.rs | Similarity 0.923
71 
72# GraphRAG reveals the full dependency chain
73octocode graphrag get-relationships --node_id src/middleware/auth.rs
74Outgoing:
75 imports → jwt (src/auth/jwt.rs): token validation logic
76 calls → user_store (src/db/user_store.rs): user lookup by token
77Incoming:
78 imports ← router (src/router.rs): wires auth into the request pipeline
79```
80 
81Octocode uses **tree-sitter AST parsing** to extract real symbols (functions, imports, dependencies), builds a **GraphRAG knowledge graph** of relationships between files, and exposes everything via **MCP** — so AI tools can *navigate* your project architecture, not just search it.
82 
83## 🔬 How It Works
84 
85```
86Source Code → Tree-sitter AST → Symbols & Relationships → Knowledge Graph
87 ↓
88 Embeddings + Hybrid Search + Reranking → MCP Server
89```
90 
911. **AST Parsing** — tree-sitter extracts real code symbols (functions, classes, imports), not arbitrary text chunks
922. **Knowledge Graph** — GraphRAG maps rela

Preview

muvon/octocodemuvon/octocode

### **Structural Code Intelligence for AI Agents — MCP Server + Knowledge Graph + Semantic Search**

[![GitHub stars](https://img.shields.io/github/stars/Muvon/octocode?style=social)](https://github.com/Muvon/octocode/stargazers)

Repomuvon/octocode
TypeMCP Servers
CategoryCode Review & Refactor
UpdatedJul 2026
LicenseApache-2.0
First seenJul 27, 2026

Tags

MCPaiai-tools

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