MCP server de code-context-graph
Commit 21 ago 2026Permite que los agentes de codificación con IA busquen en bases de código por intención de negocio e inspeccionen grafos de llamadas mediante un grafo de conocimiento basado en Tree-sitter.
También conocido como tae2089/code-context-graph
- Stars
- 18
- Herramientas
- —
- Descargas, 30 días
- —
- Última versión
- —
- Último commit
- 21 ago 2026
- Licencia
- MIT
¿Qué es code-context-graph MCP?
code-context-graph es un MCP server. Permite que los agentes de codificación con IA busquen en bases de código por intención de negocio e inspeccionen grafos de llamadas mediante un grafo de conocimiento basado en Tree-sitter.
Resumen generado a partir del README del proyecto
Acerca del MCP server de code-context-graph
code-context-graph permite proporcionar inteligencia profunda de la base de código a los agentes de codificación con IA. Al analizar el código fuente mediante Tree-sitter, construye un grafo de conocimiento detallado que permite a los LLM comprender la intención de negocio y las relaciones estructurales sin tener que leer repositorios completos. Esta herramienta está diseñada para desarrolladores y agentes de codificación que utilizan clientes como Claude o Codex, ofreciendo una forma de mantener limitadas las ventanas de contexto manteniendo una alta precisión.
Los usuarios pueden ejecutar el servidor localmente vía stdio o alojarlo de forma remota mediante una conexión streamable HTTP. Soporta 12 lenguajes de programación diferentes, incluyendo Go, Python, TypeScript y Rust. El sistema utiliza SQLite o PostgreSQL para el almacenamiento de datos y proporciona 18 herramientas MCP específicas para tareas como análisis de impacto, rastreo de flujo y descubrimiento de documentación. Los desarrolladores también pueden interactuar con los datos a través de una interfaz Wiki en el navegador que cuenta con un visor de grafos estilo Obsidian y navegación por árbol.
Qué puedes hacer con él
- 1Rastrear flujos de ejecuciónUn agente de IA puede seguir la ruta de una llamada a función específica a través de la base de código para entender la lógica.
- 2Buscar por intención de negocioLos desarrolladores pueden encontrar código relacionado con reglas de dominio específicas o lógica de negocio usando anotaciones personalizadas.
- 3Analizar el impacto del códigoUn agente puede determinar cómo un cambio en una parte del sistema afectará a otros componentes.
- 4Automatizar actualizaciones de la base de códigoEl sistema puede clonar y compilar automáticamente nuevas versiones de código cuando se activa mediante eventos de GitHub o Gitea.
Escrito a partir del README del proyecto. Cada caso de uso se verifica con una cita del mismo.
Configuración
CGO_ENABLED
| Nombre | Descripción | Tipo |
|---|---|---|
| CGO_ENABLED | — |
Verificaciones automáticas
Ejecutado 14 nov 2026Informe completo →Aún no verificado. Un servidor necesita una puntuación de 80, ningún hallazgo grave y suficientes datos para que podamos revisarlo. Cómo funcionan las verificaciones · Qué corregir para obtener más puntos
- Repositorio de origen vinculado y accesibletae2089/code-context-graph is public and reachablegithub.com/tae2089/code-context-graph ↗Aprobado
- El paquete indica este repositorio como su origenNo verificado
- Procedencia de la compilación (atestación de Sigstore)No verificado
- Licencia de código abierto (OSI)MITspdx.org/licenses/MIT.html ↗Aprobado
- Commit o lanzamiento en el último añoLast commit or release 2026-08-21github.com/tae2089/code-context-graph ↗Aprobado
- OpenSSF ScorecardNo verificado
- El nombre del paquete no es similar a un paquete popularNo verificado
- No hay avisos críticos en el paquete ni en sus dependenciasNo verificado
- Sin instrucciones ocultas para el modelo0 tool descriptions and the README read; no override phrases, credential paths or hidden charactersAprobado
- Las herramientas destructivas están etiquetadasNo verificado
- El endpoint remoto responde al handshake de MCPNo verificado
README
Ver en 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
Preguntas sobre code-context-graph MCP
¿Cómo puedo buscar código usando contexto de negocio?
Puedes usar anotaciones personalizadas como @intent y @domainRule para buscar código basado en la lógica de negocio en lugar de solo usar identificadores.
¿Puedo usar esta herramienta con un servidor remoto?
Sí, puedes ejecutar el ccg-server para exponer un endpoint MCP mediante streamable HTTP y una interfaz Wiki basada en React.