Code Graph MCP
A local MCP server that indexes codebases into Neo4j and provides tools for code analysis, dependency visualization, and impact assessment.
README
Code Graph MCP
Local code graph MCP, designed as a modular multi-language system.
The Go process owns CLI, project discovery, plugin orchestration, Neo4j ingestion/querying, and MCP. The TypeScript extractor is a Node subprocess that uses ts-morph, TypeScript Compiler API data, dependency-cruiser validation, and custom Next.js route extraction. Future language support plugs into the same GraphEvent NDJSON protocol.
Supported Projects And Languages
Supported now:
- TypeScript and JavaScript repositories
- npm, pnpm, and Yarn package manager detection
- package workspaces declared in
package.json - common monorepo layouts using
apps/*andpackages/* - Next.js App Router and Pages Router route extraction
.ts,.tsx,.js, and.jsxsource files
Not implemented yet:
- Go, Python, Ruby, Rust, Java, or other language extractors
- non-Next.js framework route extractors
- incremental file-level updates
The extractor protocol is language-neutral, so new language support should be added as a new subprocess extractor that emits the same codegraph.v1 NDJSON events. The tradeoff is that v1 keeps the Go server stable and modular, but only the TypeScript/JavaScript extractor is production-usable today.
Quick Start
cp .env.example .env
pnpm install
docker compose up -d neo4j
go run ./cmd/codegraph doctor
go run ./cmd/codegraph reset
go run ./cmd/codegraph index --ripple my-app --repo /path/to/repo --language typescript
go run ./cmd/codegraph status --ripple my-app
go run ./cmd/codegraph visualize --ripple my-app --output codegraph-visualization.html
go run ./cmd/codegraph serve --addr :8080
Docker-only for this repo:
docker compose --profile app run --rm app index --ripple code-graph --repo /repo --language typescript
Docker-only for another local repo:
docker compose --profile app run --rm -v /path/to/repo:/target:ro app index --ripple my-app --repo /target --language typescript
Neo4j Browser is available at http://localhost:7474 with neo4j/password.
Indexing Behavior
The TypeScript extractor respects root and nested .gitignore files before adding files to the graph. Built-in ignores still exclude generated/vendor paths such as node_modules, .git, .next, dist, build, coverage folders, and .d.ts files.
For large repositories, the extractor stays bounded by using lightweight relative import resolution, skipping full symbol relationship traversal, skipping dependency-cruiser validation, and omitting symbol signatures. These limits are configurable:
CODEGRAPH_NODE_OPTIONS=--max-old-space-size=6144
CODEGRAPH_SYMBOL_RELATION_LIMIT=750
CODEGRAPH_DEPCRUISE_FILE_LIMIT=1500
Commands
codegraph doctor: checks Neo4j connection and local extractor config.codegraph reset: deletes all graph data and ripples from Neo4j.codegraph discover --repo .: detects package manager, workspaces, and project types.codegraph index --ripple my-app --repo . --language typescript: creates or replaces a named ripple index for a repo.codegraph update --ripple my-app: re-indexes an existing ripple using its saved repo and language.codegraph status --ripple my-app: shows node and relationship counts for one ripple.codegraph ripples: lists all indexed ripples in the database.codegraph visualize --ripple my-app --output graph.html: exports an HTML graph viewer for one ripple.codegraph serve --addr :8080: starts the HTTP MCP server with/mcp/{ripple}endpoints.codegraph mcp --ripple my-app: starts the stdio MCP server for one ripple.codegraph test-extractor typescript: validates the TypeScript extractor on the fixture repo.
Ripples
A ripple is a named index inside the shared Neo4j database. Each ripple stores its repo path and language, and all graph nodes and relationships are scoped to that ripple.
codegraph index --ripple my-app --repo /path/to/repo --language typescript
codegraph update --ripple my-app
codegraph ripples
update reuses the stored repo path and language for the ripple, deletes only that ripple's existing graph, and rebuilds it. Other ripples in the same Neo4j database are left untouched.
The HTTP MCP endpoint is scoped by ripple name:
http://localhost:8080/mcp/my-app
The stdio MCP command is equivalent:
codegraph mcp --ripple my-app
OpenCode Installation
OpenCode should connect to an already running CodeGraph HTTP MCP server. Start the server first:
go run ./cmd/codegraph serve --addr :8080
Then add one remote MCP server per ripple you want OpenCode to use.
Example global config at ~/.config/opencode/opencode.json:
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"codegraph_my_app": {
"type": "remote",
"url": "http://localhost:8080/mcp/my-app",
"enabled": true,
"timeout": 15000
}
}
}
Then verify OpenCode can connect:
opencode mcp list
OpenCode should show the server as connected. In prompts, refer to the configured MCP name and ask it to start with codegraph_help, for example use codegraph_my_app, call codegraph_help first, then find the files related to billing.
Visualization
Generate a self-contained HTML visualization from the current Neo4j graph:
go run ./cmd/codegraph visualize --ripple my-app --output codegraph-visualization.html
The visualization plots every indexed node for one ripple on a canvas, groups nodes by label, supports search, and draws the local relationship neighborhood for the selected node. It is designed to remain usable on large graphs where a full force-directed SVG would be slow and unreadable.
MCP Tools
codegraph_help: explains how to use this MCP, including workflows, aliases, and examples.get_ripple_info: returns the current ripple, repo path, language, and graph counts.get_index_freshness: returns ripple metadata plus local repo branch and HEAD when available.list_node_types: returns node label counts and relationship type counts for the current ripple.count_literal_files: counts unique files containing an exact string and returns only paths plus category counts.find_env_usages: finds actual runtimeprocess.env.NAMEread sites and returns files plus read counts.analyze_rename_impact: one-call rename impact analysis for env vars and other exact names, with categorized file lists and compact graph relationship summaries.analyze_function_impact: one-call blast-radius analysis for functions, hooks, components, methods, or exported symbol names.analyze_callsite_contract: one-call analysis for feature work that requires every existing call to one function to be preceded by another check.prepare_feature_context: one-call starter context pack for feature work, including entry points, likely edit files, tests, dependency summaries, and bounded blast radius.search_code: broad search across files, symbols, packages, routes, tests, and config nodes.find_symbolfind_fileget_dependenciesget_dependentsget_relationsget_impactget_route_impactget_related_testsfind_pathsopen_symbol_bodyopen_file_excerpt
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。