code-context-graph MCP server
Commit 21 Agu 2026Memungkinkan AI coding agent untuk mencari codebase berdasarkan intent bisnis dan memeriksa call graph menggunakan knowledge graph yang ditenagai oleh Tree-sitter.
Juga dikenal sebagai tae2089/code-context-graph
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- Unduhan, 30 hari
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- Versi terbaru
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- Commit terakhir
- 21 Agu 2026
- Lisensi
- MIT
Apa itu code-context-graph MCP?
code-context-graph adalah MCP server. Memungkinkan AI coding agent untuk mencari codebase berdasarkan intent bisnis dan memeriksa call graph menggunakan knowledge graph yang ditenagai oleh Tree-sitter.
Ringkasan dibuat dari README proyek
Tentang code-context-graph MCP server
code-context-graph memungkinkan pemberian kecerdasan codebase yang mendalam kepada AI coding agent. Dengan melakukan parsing source code melalui Tree-sitter, tool ini membangun knowledge graph mendetail yang memungkinkan LLM memahami business intent dan hubungan struktural tanpa harus membaca seluruh repositori. Tool ini dirancang untuk developer dan coding agent yang menggunakan client seperti Claude atau Codex, menawarkan cara untuk menjaga context window tetap terbatas namun tetap mempertahankan presisi yang tinggi.
User dapat menjalankan server secara lokal via stdio atau menghostingnya secara remote menggunakan koneksi streamable HTTP. Tool ini mendukung 12 bahasa pemrograman berbeda, termasuk Go, Python, TypeScript, dan Rust. Sistem ini menggunakan SQLite atau PostgreSQL untuk penyimpanan data dan menyediakan 18 MCP tools spesifik untuk tugas-tugas seperti impact analysis, flow tracing, dan dokumentasi discovery. Developer juga dapat berinteraksi dengan data melalui Wiki UI berbasis browser yang dilengkapi dengan graph viewer bergaya Obsidian dan navigasi tree.
Apa yang bisa Anda lakukan dengannya
- 1Trace execution flowsAI agent dapat mengikuti jalur pemanggilan fungsi tertentu melalui codebase untuk memahami logikanya.
- 2Search by business intentDeveloper dapat menemukan kode yang terkait dengan aturan domain tertentu atau logika bisnis menggunakan anotasi kustom.
- 3Analyze code impactAgent dapat menentukan bagaimana perubahan pada satu bagian sistem akan memengaruhi komponen lainnya.
- 4Automate codebase updatesSistem dapat secara otomatis melakukan clone dan build versi kode baru saat dipicu oleh event dari GitHub atau Gitea.
Ditulis berdasarkan README proyek. Setiap use case diperiksa terhadap kutipan dari README tersebut.
Konfigurasi
CGO_ENABLED
| Nama | Deskripsi | Tipe |
|---|---|---|
| CGO_ENABLED | — |
Pengecekan otomatis
Berjalan 14 Nov 2026Laporan lengkap →Belum diverifikasi. Sebuah server memerlukan skor 80, tidak ada temuan serius, dan data yang cukup untuk kami periksa. Cara kerja checks · Yang perlu diperbaiki untuk menambah poin
- Source repository terhubung dan dapat dijangkautae2089/code-context-graph is public and reachablegithub.com/tae2089/code-context-graph ↗Lolos
- Nama paket mencantumkan repositori ini sebagai sumbernyaTidak diperiksa
- Provenance build (atestasi Sigstore)Tidak diperiksa
- Lisensi open source (OSI)MITspdx.org/licenses/MIT.html ↗Lolos
- Ada commit atau release dalam satu tahun terakhirLast commit or release 2026-08-21github.com/tae2089/code-context-graph ↗Lolos
- OpenSSF ScorecardTidak diperiksa
- Nama package tidak mirip dengan package populerTidak diperiksa
- Tidak ada advisory kritis pada paket atau dependensinyaTidak diperiksa
- Tidak ada instruksi tersembunyi untuk model0 tool descriptions and the README read; no override phrases, credential paths or hidden charactersLolos
- Tools yang bersifat destruktif telah diberi labelTidak diperiksa
- Endpoint remote merespons handshake MCPTidak diperiksa
README
Lihat di GitHubcode-context-graph
Local code analysis tool that parses codebases via Tree-sitter into a knowledge graph. Supports 12 languages, 18 MCP tools, and custom annotation search.
CCG is built primarily for GPT, Claude, Codex, and other LLM-based coding agents. It acts as local or self-hosted context infrastructure: agents can search code by intent, inspect call graphs, trace impact, retrieve docs, and keep responses bounded instead of reading entire repositories into context.
This is a developer-operated tool, not a general SaaS admin product. The expected users are coding agents and developers who can run CLI commands, configure MCP, read logs, and use the generated graph/docs to guide code changes.
Inspired by code-review-graph — a Python-based code analysis tool. This project reimplements and extends the concept in Go with multi-DB support, custom annotation system, and MCP integration for AI-powered code understanding.
Features
- 12 languages: Go, Python, TypeScript, Java, Ruby, JavaScript, C, C++, Rust, Kotlin, PHP, Lua/Luau
- 18 MCP tools: parse, search, graph queries, impact analysis, flow tracing, change detection, documentation discovery, and more
- Evidence-driven code exploration: DB-backed retrieval returns small file-level candidates with matched fields, evidence nodes, and optional docs before agents drill into exact graph nodes
- Browser Wiki UI:
ccg-servercan serve generated docs, tree search, DB-backed retrieval, Context Tray copying, and an Obsidian-style graph viewer - Custom annotations:
@intent,@domainRule,@sideEffect,@mutates,@index— search code by business context (details) - Webhook sync: GitHub / Gitea push events → auto clone + build with per-repo branch filtering and
.ccg.yamlbuild-scope (include_paths/exclude) auto-loading (details) - Multi-DB: SQLite (local), PostgreSQL
- Full-text search: FTS5 (SQLite), tsvector+GIN (PostgreSQL)
Installation
npm / bun (recommended)
npm install -g code-context-graph
# or
bun install -g code-context-graph
The npm package installs both ccg and ccg-server.
go install
go install github.com/tae2089/code-context-graph/cmd/ccg@latest
go install github.com/tae2089/code-context-graph/cmd/ccg-server@latest
Build from source
CGO_ENABLED=1 go build -tags "fts5" -o ccg ./cmd/ccg/
CGO_ENABLED=1 go build -tags "fts5" -o ccg-server ./cmd/ccg-server/
# Or use Makefile (injects version from git tag automatically)
make build
# Local stripped release-style build
make release
Quick Start
# Parse your project. For the default local SQLite database (ccg.db), runtime
# commands create and migrate the database automatically on first use only when
# the schema is missing.
ccg build .
# Build complete: 70 files, 749 nodes, 7387 edges
# Search (includes annotations)
ccg search "authentication"
# Search by business context
ccg search "payment" # finds functions with @intent/@domainRule about payments
# Build generated docs and the browser Wiki compatibility index
ccg docs --out docs
# Serve the browser Wiki UI from built assets; builds the graph for DB-backed APIs
make wiki-run
# Graph statistics
ccg status
# Version info
ccg version
# Namespace isolation (MSA)
ccg build ./backend --namespace backend
ccg search --namespace backend "auth"
ccg docs writes generated Markdown plus .ccg/wiki-index.json as a browser
Wiki compatibility snapshot. The Wiki prefers the graph database for tree
navigation and search, then uses wiki-index.json only when DB-backed
navigation is unavailable. The Wiki's own search box uses DB-backed graph and
annotation evidence; it does not depend on a separately generated retrieval index.
For LLM agents, use search as the first stop for both identifier lookups
("WebhookHandler") and broad natural-language questions such as "how does
webhook sync work?". One query searches both the identifier index and the
reasons authors recorded (@intent, @domainRule), and answers with a small
set of files, each carrying the node_id of every declaration that answered.
Walk from those IDs with get_node, query_graph, trace_flow, and the
impact tools. The same answers are identical on SQLite and PostgreSQL — a
backend parity test in the repository asserts it.
If you use PostgreSQL, a custom SQLite DSN, an existing schema, or a controlled
upgrade workflow, run ccg migrate explicitly before runtime commands. This
also applies when upgrading CCG against an existing default ccg.db created by
an older version. See the CLI Reference for the full
migration contract.
Browser Wiki
ccg-server can serve a React-based Wiki UI at /wiki when --wiki-dir points
at a built web/wiki/dist directory. Docker images include that built UI at
/usr/share/ccg/wiki; standalone binaries keep the assets separate so binary
size stays small.
The Wiki is meant for developers and agents inspecting a generated codebase:
- Tree navigation over folders, packages, files, and annotated symbols
- Keyword search with matched evidence and small file-level result sets
- Rich symbol detail cards from CCG annotations even when a symbol has no generated Markdown file
- Context Tray for collecting files and doc-less symbols into one Markdown bundle that can be copied into another LLM tool
- Graph tab backed by
/wiki/api/graph, showing namespace nodes and edges with filters for structure, calls, imports, types, and symbols
Local development shortcut:
make wiki-run
Use make wiki-run-indexed when you also want generated Markdown and the
wiki-index.json compatibility snapshot before starting the server.
For self-hosted deployments, run ccg-server --wiki-dir <dist-dir> and protect
/wiki/api/* with the same bearer token policy used for /mcp. See
Docker and Runtime Layout
for deployment details.
Demo
Actual output from CCG parsing its own codebase.
1. Parse the Codebase
$ ccg build .
Build complete: 145 files, 1654 nodes, 10489 edges
2. Graph Statistics
$ ccg status
Nodes: 1654
Edges: 3767
Files: 192
Node kinds:
class: 253
file: 145
function: 1111
package: 47
type: 98
Edge kinds:
calls: 1822
contains: 1597
imports_from: 278
implements: 66
inherits: 4
Fallback call analysis:
calls: 1823
fallback_calls: 0
fallback_ratio: 0.00%
3. Code Search
$ ccg search "impact analysis"
internal/app/analyze/impact/impact.go file internal/app/analyze/impact/impact.go:1
mcp.impactRadiusResponse class internal/adapters/inbound/mcp/handler_analysis.go:36
internal/adapters/inbound/mcp/handler_analysis.go file internal/adapters/inbound/mcp/handler_analysis.go:1
mcp.ImpactAnalyzer type internal/adapters/inbound/mcp/deps.go:40
mcp.impactRadiusMetadata class internal/adapters/inbound/mcp/handler_analysis.go:27
mcp.handlers.getImpactRadius function internal/adapters/inbound/mcp/handler_analysis.go:109
$ ccg search "repository sync"
reposync.Service.Sync function internal/app/reposync/service.go:27
remote.buildRepoSyncHTTP function internal/runtime/remote/http.go:88
reposync.syncPayload class internal/app/reposync/queue.go:94
reposync.SyncHandlerFunc type internal/app/reposync/queue.go:21
reposync.SyncQueue class internal/app/reposync/queue.go:118
webhook.SyncFunc type internal/adapters/inbound/webhook/handler.go:22
4. Agent Integration via MCP
After configuring .mcp.json, you can ask an MCP-capable coding agent directly:
"Explain the webhook sync flow in this project"
The agent calls CCG MCP tools and answers directly from the graph:
trace_flow(qualified_name: "webhook.WebhookHandler.ServeHTTP")
→ WebhookHandler.ServeHTTP
→ SyncQueue.Add
→ safeHandle (retry loop: max 3 attempts, exponential backoff 1s→30s)
→ clone (git clone, 15min timeout)
→ build (ccg build, same context)
"Where is the authentication-related code?"
search(query: "authentication")
→ internal/adapters/inbound/webhook/handler.go (HMAC signature validation)
→ cmd/ccg-server/main.go (CCG_WEBHOOK_SECRET / --webhook-secret)
MCP Server
Add .mcp.json to your project:
{
"mcpServers": {
"ccg": {
"command": "ccg",
"args": ["serve", "--db-driver", "sqlite", "--db-dsn", "ccg.db"]
}
}
}
For remote HTTP mode:
Run the self-hosted server with ccg-server and connect to /mcp. The same
server can also expose /wiki when --wiki-dir is configured:
{
"mcpServers": {
"ccg": {
"type": "streamable-http",
"url": "http://your-server:8080/mcp"
}
}
}
MCP-capable clients such as Codex or Claude Code can connect and get access to 18 MCP tools. See MCP Tools Reference for the full list.
Architecture
Source Code → Tree-sitter Parser → Nodes + Edges + Annotations
↓
SQLite / PostgreSQL (GORM)
↓
FTS Search
↓
ccg serve ccg-server
stdio MCP Streamable HTTP + Wiki UI
↓ ↓ ↓ ↑
Coding Agents Remote Clients Browser GitHub / Gitea Webhook
Wiki push → clone → build → DB
See Architecture Details for component breakdown and DB schema.
Documentation
| Guide | Description |
|---|---|
| Korean Guide | 한국어 문서 인덱스 (Korean Documentation Index) |
| CLI Reference | All commands, flags, and config file (.ccg.yaml) |
| Lint | Detailed ccg lint category reference, interpretation guide, and CI usage |
| MCP Tools | 18 MCP tools, agent skills, AI-Driven Annotation |
| Annotations | Annotation system — tags, examples, search |
| Webhook | Webhook sync, branch filtering, HMAC, graceful shutdown |
| Docker | Docker build, MCP server, Wiki UI, PostgreSQL deployment |
| Operations | Deployment profiles, database choice, readiness, webhook operations |
| Runtime Layout | ccg, ccg-server, Wiki serving, and shared ccg-core ownership boundaries |
| Development | Dev guide, integration test, project structure |
| Namespace Migration | Default namespace change and migration guide |
| Architecture | Data flow, components, DB schema |
| CLAUDE.md Guide | Template for projects using CCG |
License
MIT
Pertanyaan tentang code-context-graph MCP
Bagaimana cara mencari kode menggunakan konteks bisnis?
Anda dapat menggunakan anotasi kustom seperti @intent dan @domainRule untuk mencari kode berdasarkan logika bisnis, bukan sekadar identifier saja.
Apakah saya bisa menggunakan tool ini dengan remote server?
Ya, Anda dapat menjalankan ccg-server untuk mengekspos endpoint MCP streamable HTTP dan UI Wiki berbasis React.