codegraph MCP sunucusu
Commit 14 Kas 2026Yerel öncelikli bir SQLite bilgi grafiği aracılığıyla yapay zeka kodlama asistanlarına depoların derin yapısal farkındalığını sağlar.
Ayrıca bilinen adı isink17/codegraph
- Yıldızlar
- 4
- Araçlar
- 28
- İndirmeler, 30 gün
- —
- En son sürüm
- —
- Son commit
- 14 Kas 2026
- Lisans
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codegraph MCP nedir?
codegraph bir MCP sunucusudur. Yerel öncelikli bir SQLite bilgi grafiği aracılığıyla yapay zeka kodlama asistanlarına depoların derin yapısal farkındalığını sağlar. 28 araç sunar; örneğin find_symbol, search_symbols, search_semantic.
Özet, projenin README dosyasından oluşturuldu
codegraph MCP sunucusu hakkında
codegraph, yerel öncelikli bir bilgi grafiği kullanarak yapay zeka kodlama asistanlarına depoların derin yapısal farkındalığını kazandırır. Kaynak kodunuzun kalıcı bir SQLite veritabanını oluşturarak, ajanların verileri buluta göndermeden sembolleri, çağrı grafiklerini ve bağımlılıkları anlamasını sağlar. Bu araç, bağlam toplama sırasında token tüketimini azaltmak isteyen Claude Code, Cursor, Windsurf veya Gemini CLI gibi yapay zeka asistanlarını kullanan geliştiriciler için tasarlanmıştır.
Sunucu; harici bir veritabanı, Docker veya API anahtarı gerektirmeyen tek bir Go binary'si olarak çalışır. 12 farklı dili ayrıştırmak için tree-sitter kullanır ve istemciye 29 yapılandırılmış MCP aracı sunar. Kullanıcılar, Ollama aracılığıyla vektör benzerliği veya standart tam metin araması kullanarak hibrit aramalar gerçekleştirebilir. Bir ajan, context_for_task gibi araçları kullanarak dosyaları tek tek okumak yerine ilgili fonksiyonları, çağırıcıları (callers) ve çağrılanları (callees) anında geri çağırabilir.
Basit veri getirme işleminin ötesinde sistem, önemli sembolleri bulmak için PageRank ve döngüsel bağımlılıkları belirlemek için döngü tespiti gibi gelişmiş grafik analitiği yöntemlerini destekler. Ayrıca, farklı kodlama oturumları boyunca kararları ve gerçekleri korumak için oturum belleğine sahiptir.
Neler yapabilirsiniz
- 1Keşif sırasında token kullanımını minimize edinBir yapay zeka ajanı, belirli bir kodlama görevi için gerekli tüm dosyalara ve ilişkilere tek bir araç çağrısı ile ulaşabilir.
- 2Değişiklikler için etki analizi yapınGeliştiriciler, bir değişikliği uygulamadan önce kod tabanının hangi kısımlarının bozulacağını belirleyebilirler.
- 3Depolardaki ölü kodları tespit edinAraç, proje içinde aktif bir referansı veya çağırıcısı bulunmayan sembolleri konumlandırabilir.
Projenin README dosyasından alınmıştır. Her kullanım durumu, oradaki bir alıntı ile kontrol edilir.
codegraph MCP araçları 28
README dosyasından algılandıfind_symbolsearch_symbolssearch_semanticfind_callersfind_calleesget_impact_radiustrace_dependenciesfind_related_testsfind_dead_codecontext_for_taskarchitecture_overviewgraph_analytics
| find_symbol | — | |
| search_symbols | — | |
| search_semantic | — | |
| find_callers | — | |
| find_callees | — | |
| get_impact_radius | — | |
| trace_dependencies | — | |
| find_related_tests | — | |
| find_dead_code | — | |
| context_for_task | — | |
| architecture_overview | — | |
| graph_analytics | — |
28 aracın tümünü gösterDaha az araç göster
detect_frameworkscross_language_linksbenchmark_tokensindex_repoupdate_graphlist_filesgraph_statssupported_languageslist_reposlist_scanslatest_scan_errorssession_logsession_historysession_hot_filessession_contextagentic_query
| detect_frameworks | — | |
| cross_language_links | — | |
| benchmark_tokens | — | |
| index_repo | — | |
| update_graph | — | |
| list_files | — | |
| graph_stats | — | |
| supported_languages | — | |
| list_repos | — | |
| list_scans | — | |
| latest_scan_errors | — | |
| session_log | — | |
| session_history | — | |
| session_hot_files | — | |
| session_context | — | |
| agentic_query | — |
Otomatik kontroller
Çalıştırıldı 15 Kas 2026Tam rapor →Henüz doğrulanmadı. Bir sunucunun 80 puana, ciddi bir bulgu olmamasına ve kontrol edebilmemiz için yeterli veriye ihtiyacı vardır. Kontroller nasıl çalışır · Daha fazla puan için nelerin düzeltileceği
- Kaynak deposu bağlantılı ve erişilebilirisink17/codegraph is public and reachablegithub.com/isink17/codegraph ↗Geçti
- Paket, bu depoyu kaynağı olarak gösteriyorKontrol edilmedi
- Derleme kökeni (Sigstore onayı)Kontrol edilmedi
- Açık kaynak lisansı (OSI)No licenseBulgu
- Son bir yıl içinde commit veya sürüm mevcutLast commit or release 2026-11-13github.com/isink17/codegraph ↗Geçti
- OpenSSF ScorecardKontrol edilmedi
- Paket adı popüler bir pakete yakın değilKontrol edilmedi
- Pakette veya bağımlılıklarında kritik uyarı yokKontrol edilmedi
- Modele yönelik gizli talimat yok28 tool descriptions and the README read; no override phrases, credential paths or hidden charactersGeçti
- Yıkıcı araçlar etiketlenmişNo tool named like delete, drop or execGeçti
- Uzak uç nokta MCP el sıkışmasına yanıt veriyorKontrol edilmedi
codegraph is a local-first code context engine and MCP server that builds a persistent knowledge graph of your source repositories in SQLite. It gives AI coding assistants deep structural awareness — symbols, call graphs, dependencies, and semantic search — without sending a single byte to the cloud.
Single binary. Zero config. No external databases. No API keys.
Why codegraph?
AI coding assistants are powerful, but they spend most of their token budget discovering what to change — grepping files, reading code, reconstructing call graphs from partial evidence.
codegraph shifts that cost. One call to context_for_task returns the exact files, symbols, and relationships an agent needs. One call to agentic_query gets a synthesized answer backed by graph traversal and semantic search.
❌ Without codegraph
AI reads files one by one → greps for patterns → burns tokens on context-gathering
✅ With codegraph
AI calls context_for_task("add retry logic to HTTP client")
→ instantly gets relevant files, functions, callers, callees, and tests
How It Works
Your Code ──▶ tree-sitter AST ──▶ SQLite Graph ──▶ MCP Tools ──▶ AI Assistant
│ │ │
12 languages symbols, edges 29 tools
framework detect embeddings agentic reasoning
import resolution session memory hybrid search
codegraph index . walks your repo, parses every file with tree-sitter, resolves imports using four strategies (exact, name, suffix, method-receiver), and writes a fully-linked symbol graph into a local codegraph.sqlite. The MCP server then exposes that graph to any compatible AI assistant via 29 structured tools — no cloud, no Docker, no API keys.
Features
🔍 Parsing & Indexing
- Tree-sitter parsing for all 12 supported languages — robust AST extraction, not regex
- 4-strategy import resolution — exact, name, suffix, and method-receiver matching
- Cross-language linking — connects symbols across language boundaries
- Incremental updates — only re-indexes changed files; fast on large repos
- Framework detection — recognizes 20+ frameworks (Express, Django, gin, React, Spring, Laravel, …)
🔎 Search & Query
- Hybrid search — vector similarity (Ollama embeddings) + FTS5, fused with Reciprocal Rank Fusion
- Semantic search — find code by meaning, not just text
- Call graph traversal — callers, callees, transitive dependency chains
- Impact analysis — know what breaks before you change it
- Dead code detection — find symbols with zero references
- Architecture overview — language breakdown, entry points, hub symbols, coupling metrics
🤖 AI Integration
- 29 MCP tools — comprehensive API for AI coding assistants
- Agentic reasoning — ReAct loop over a local Ollama LLM that chains tools and synthesizes answers
- Context building — one tool call returns everything an agent needs for a task
- Session memory — persist reads, edits, decisions, and facts across sessions
- Token benchmarking — measure savings vs. naive file reading
📊 Graph Analytics
- PageRank — find the most important symbols in your codebase
- Coupling metrics — identify tightly coupled file pairs
- Cycle detection — find circular dependencies at the file level
- Interactive visualization — D3.js force-directed graph with search and zoom
🛠 Developer Experience
- Single Go binary — no runtime dependencies, cross-platform
- Zero-config SQLite — no Docker, no external databases
codegraph install— auto-detects and configures Claude Code, Cursor, Windsurf, Gemini CLI- File watching — automatic re-indexing on changes
- 100% local — no data leaves your machine
Supported Languages
All languages use tree-sitter for AST parsing:
| Language | Extensions |
|---|---|
| Go | .go |
| Python | .py |
| TypeScript | .ts, .tsx |
| JavaScript | .js, .jsx, .mjs |
| Java | .java |
| Kotlin | .kt, .kts |
| Rust | .rs |
| C# | .cs |
| Ruby | .rb |
| Swift | .swift |
| PHP | .php |
| C / C++ | .c, .h, .cpp, .hpp, .cc |
Node.js repos are supported; full tree-sitter node support is still in progress.
Quick Start
1. Install
go install github.com/isink17/codegraph/cmd/codegraph@latest
Requires Go 1.23+ and a C compiler (for tree-sitter CGo bindings).
Build from source
git clone https://github.com/isink17/codegraph
cd codegraph
go build ./cmd/codegraph
go test ./...
Requires Go 1.23+ and a C compiler (for tree-sitter CGo bindings).
Clean rebuild
cd your-project
codegraph index . --rebuild
Use this after parser or indexer changes when you need a true full reindex from scratch.
codegraph index . --rebuild needs exclusive access to the repo database.
If rebuild fails because the DB is in use, stop codegraph serve or other codegraph processes and retry.
Use codegraph clean . for database maintenance tasks like WAL checkpointing, VACUUM, FTS optimize, ANALYZE, and incremental vacuum.
Version
codegraph --version
codegraph version
Prints the installed local version only. It does not contact GitHub.
Normal commands check GitHub Releases at most once every 24 hours. Set
DO_NOT_TRACK or CODEGRAPH_NO_UPDATE_CHECK to a non-empty value other than
0 or false to disable the check. This also prevents creation or update of
the local version-check state file.
2. Auto-configure your AI tool
codegraph install
Detects Claude Code, Cursor, Windsurf, and Gemini CLI and writes the MCP config automatically.
3. Index your project
cd your-project
codegraph index .
4. Start the MCP server
codegraph serve
Repo root is auto-detected from git (or falls back to your current working directory).
That's it. Your AI assistant now has deep structural code understanding.
MCP Setup
Auto-configure (recommended)
codegraph install
Manual Setup
{
"mcpServers": {
"codegraph": {
"command": "codegraph",
"args": ["serve"]
}
}
}
{
"mcpServers": {
"codegraph": {
"command": "codegraph",
"args": ["serve"]
}
}
}
[mcp_servers.codegraph]
command = "codegraph"
args = ["serve"]
startup_timeout_sec = 60
See the examples/ directory for more configuration samples.
MCP Tools (29)
Code Intelligence
| Tool | Description |
|---|---|
find_symbol |
Find symbols by exact or fuzzy query |
search_symbols |
Search symbol names, signatures, and docs (FTS5) |
search_semantic |
Hybrid semantic search (vector + FTS when embeddings enabled) |
find_callers |
Find what calls a given function |
find_callees |
Find what a given function calls |
get_impact_radius |
Estimate affected symbols and files around a change |
trace_dependencies |
Trace transitive dependency chains (upstream/downstream) |
find_related_tests |
Find tests for a symbol, file, or set of changed files |
find_dead_code |
Find symbols with no callers or references |
context_for_task |
Build a focused context bundle for a natural-language task |
Architecture & Analysis
| Tool | Description |
|---|---|
architecture_overview |
Language breakdown, directories, entry points, hub symbols |
graph_analytics |
PageRank, coupling metrics, or cycle detection |
detect_frameworks |
Detect frameworks and libraries used in the repo |
cross_language_links |
Find and create cross-language symbol references |
benchmark_tokens |
Estimate token savings vs. reading raw files |
Repository Management
| Tool | Description |
|---|---|
index_repo |
Index a repository into the local code graph |
update_graph |
Update only changed files |
list_files |
List indexed files with optional path filter |
graph_stats |
Repository graph statistics |
supported_languages |
List supported languages and extensions |
list_repos |
List known repositories |
list_scans |
List recent scans |
latest_scan_errors |
List indexer errors from the last scan |
Session Memory
| Tool | Description |
|---|---|
session_log |
Log a session event (read, edit, decision, task, fact) |
session_history |
Get session event history |
session_hot_files |
Get most frequently accessed files |
session_context |
Get aggregated session context for pre-loading |
Agentic
| Tool | Description |
|---|---|
agentic_query |
Ask a question answered by a local AI agent that reasons over the code graph (requires Ollama) |
CLI Reference
# Setup
codegraph install # Auto-configure AI tools
codegraph doctor # Check installation health
codegraph config show # Show current config
codegraph --version # Print current version
codegraph version # Print current version
# Indexing
codegraph index <path> # Full index
codegraph update <path> # Incremental update
codegraph watch <path> # Watch and auto-reindex
codegraph clean <path> # Clean database
# MCP Server
codegraph serve [--repo-root <path>] # Start MCP server (auto-detects repo root)
# Query
codegraph stats <path> # Graph statistics
codegraph find-symbol <path> <query> # Find symbols
codegraph search <path> <query> # Full-text symbol search
codegraph callers <path> --symbol <name> # Find callers
codegraph callees <path> --symbol <name> # Find callees
codegraph impact <path> --symbol <name> # Impact analysis
# Testing
codegraph affected-tests [--stdin] <files> # Tests affected by changed files
# Visualization & Export
codegraph visualize [--repo-root <path>] # Interactive D3.js graph (auto-detects repo root)
codegraph graph export <path> --format dot # Export as Graphviz DOT
codegraph graph export <path> --format json # Export as JSON
# Benchmarking
codegraph benchmark # Token savings benchmark
Affected Tests with Git
# Find tests affected by uncommitted changes
git diff --name-only | codegraph affected-tests --stdin
# CI integration
TESTS=$(git diff --name-only HEAD~1 | codegraph affected-tests --stdin)
go test $TESTS
Replace --repo-root . with nothing if you are already in the repo you want to inspect.
Optional: Embeddings & Agentic Mode
codegraph works fully without any external services. Enable these for enhanced capabilities:
Vector Embeddings (via Ollama)
Enables hybrid semantic search (vector + FTS):
# Install and pull embedding model
ollama pull nomic-embed-text
# Initialize repo config
codegraph config init --repo .
Edit .codegraph/config.json:
{
"embedding": {
"enabled": true,
"model": "nomic-embed-text"
}
}
Then re-index to generate embeddings:
codegraph index . --force
Agentic Reasoning (via Ollama)
The agentic_query tool uses a local LLM to reason over the graph with a ReAct loop:
ollama pull llama3.2
Edit .codegraph/config.json:
{
"agent": {
"enabled": true,
"model": "llama3.2"
}
}
Configuration
Global config
| Platform | Path |
|---|---|
| macOS | ~/Library/Application Support/codegraph/config.json |
| Linux | ${XDG_CONFIG_HOME:-~/.config}/codegraph/config.json |
| Windows | %AppData%\codegraph\config.json |
Repo config
Created with codegraph config init --repo . at .codegraph/config.json:
{
"include": [],
"exclude": ["vendor/**", "node_modules/**"],
"languages": [],
"embedding": {
"enabled": false,
"model": "nomic-embed-text"
},
"agent": {
"enabled": false,
"model": "llama3.2"
}
}
Repo Root Resolution
When --repo-root (CLI) or repo_root (MCP tool parameter) is omitted, codegraph resolves the repo root using:
- Per-call
repo_rootMCP tool parameter --repo-rootCLI flag (process-level default)git rev-parse --show-toplevelfrom the current working directoryos.Getwd()(current working directory)- Return error
Ignore file
Create .codegraphignore in the repo root (same syntax as .gitignore):
build/
dist/
*.generated.go
Note: Common generated directories (
node_modules,.next,.nuxt, etc.) are always skipped and cannot be un-ignored.
Architecture
cmd/codegraph CLI entrypoint
internal/
agent/ Agentic reasoning (ReAct loop over Ollama)
cli/ Command handlers and MCP auto-configuration
config/ Config loading and path resolution
embedding/ Vector embedding (Ollama HTTP client)
export/ JSON and DOT graph export
framework/ Framework detection (20+ frameworks)
graph/ Core types (Symbol, Edge, Reference, …)
indexer/ Repository scan, incremental updates, embedding
mcp/ MCP stdio server (29 tools)
parser/ Parser interface and adapters
treesitter/ Tree-sitter adapters (12 languages)
golang/ Go AST parser (legacy)
python/ Python heuristic parser (legacy)
heuristic/ Regex-based parsers (legacy fallback)
query/ Query orchestration and hybrid search
store/ SQLite storage, migrations, graph analytics
viz/ Interactive D3.js graph visualization
watcher/ File watch and debounced updates
Building from Source
git clone https://github.com/isink17/codegraph
cd codegraph
go build ./cmd/codegraph
go test ./...
Requires Go 1.23+ and a C compiler for the tree-sitter CGo bindings.
For a clean rebuild after parser/indexer changes:
codegraph index . --rebuild
This rebuild path needs exclusive access to the repo database. If it fails because another codegraph process is holding the DB, stop that process and retry.
License
This project is licensed under the Functional Source License, Version 1.1, MIT Future License (FSL-1.1-MIT).
On the second anniversary of each version's release, that version converts to the MIT License. See LICENSE for full terms.
codegraph MCP soruları
codegraph MCP hangi araçları sunar?
28 araç sunar; bunlar arasında find_symbol, search_symbols, search_semantic, find_callers, find_callees yer alır.
codegraph internet bağlantısı veya bulut hizmetleri gerektiriyor mu?
Hayır, verileri buluta göndermeden çalışan, yerel öncelikli bir motordur.
codegraph'ı yapay zeka asistanımla nasıl yapılandırırım?
Claude Code, Cursor, Windsurf ve Gemini CLI'ı tespit eden otomatik yapılandırma komutunu kullanabilirsiniz.
codegraph hangi dilleri destekliyor?
Go, Python, TypeScript, JavaScript, Java, Kotlin, Rust, C#, Ruby, Swift, PHP ve C/C++ dahil olmak üzere 12 dili destekler.
Harici bir veritabanı kurmadan kullanabilir miyim?
Evet, harici bir veritabanı veya Docker gerektirmeyen, sıfır yapılandırma gerektiren bir SQLite iş akışı kullanır.