codeparse-mcp

codeparse-mcp

Parses Java and Xtend source code into a graph database and provides MCP tools for querying classes, methods, control flow graphs, and MC/DC conditions, enabling AI-driven unit test generation for ISO 26262 ASIL-D compliance.

Category
访问服务器

README

codeparse-mcp

Java/Xtend Code Parser → Graph DB → MCP Server
Knowledge base for AI-driven ISO 26262 ASIL-D unit test generation with 100% MC/DC + C0 + C1 coverage.


Architecture

Java/Xtend Sources
       │
       ▼
  ┌─────────────┐     ┌──────────────────┐
  │ Java Parser │     │  Xtend Parser    │
  │ (java-parser│     │ (pattern-based   │
  │   npm, CST) │     │  + CFG analyzer) │
  └──────┬──────┘     └────────┬─────────┘
         │                     │
         ▼                     ▼
  ┌──────────────────────────────────┐
  │          Graph Builder           │
  │  AST → Classes, Methods,         │
  │  Fields, CFG Nodes/Edges,        │
  │  Call Graph, MC/DC Conditions    │
  └──────────────┬───────────────────┘
                 │
                 ▼
  ┌──────────────────────────────────┐
  │       SQLite Graph DB            │
  │  files / classes / methods /     │
  │  cfg_nodes / cfg_edges /         │
  │  call_edges / mcdc_conditions    │
  └──────────────┬───────────────────┘
                 │
                 ▼
  ┌──────────────────────────────────┐
  │         MCP Server               │
  │   14 tools exposed via stdio     │
  │   Compatible with:               │
  │   • GitHub Copilot               │
  │   • Claude Desktop               │
  │   • Any MCP client               │
  └──────────────────────────────────┘

Quick Start

Option A: Node.js (local)

# Install
git clone <repo>
cd codeparse-mcp
npm install

# Initialize DB for your project
node src/cli/index.js init --root /path/to/your/project

# Parse all Java/Xtend files
node src/cli/index.js sync --root /path/to/your/project

# Check status
node src/cli/index.js status

Option B: Docker

# Build image
docker build -t codeparse-mcp:latest .

# Init DB
docker run --rm \
  -v /your/project:/project:ro \
  -v codeparse-data:/data \
  codeparse-mcp:latest init

# Sync (parse all files)
docker run --rm \
  -v /your/project:/project:ro \
  -v codeparse-data:/data \
  codeparse-mcp:latest sync

# Status
docker run --rm \
  -v /your/project:/project:ro \
  -v codeparse-data:/data \
  codeparse-mcp:latest status

# Or with docker compose
PROJECT_ROOT=/your/project docker compose run --rm codeparse sync

CLI Commands

Command Description
codeparse init [--force] Initialize/reset graph database
codeparse sync [--force] Parse all files, sync changes only
codeparse status [--errors] Show graph stats and health
codeparse sync-file <path> Sync a single file (incremental)
codeparse serve Start MCP server on stdio

Sync Options

codeparse sync \
  --force \                          # Re-parse all files
  --include "**/*.java,**/*.xtend" \ # Custom patterns
  --exclude "**/generated/**" \      # Extra exclusions
  --verbose                          # Per-file progress

MCP Integration

GitHub Copilot (.vscode/mcp.json)

{
  "servers": {
    "codeparse": {
      "type": "stdio",
      "command": "node",
      "args": ["${workspaceFolder}/src/mcp/server.js"]
    }
  }
}

Or via Docker:

{
  "servers": {
    "codeparse": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run", "--rm", "-i",
        "-v", "${workspaceFolder}:/project:ro",
        "-v", "codeparse-data:/data",
        "codeparse-mcp:latest", "serve"
      ]
    }
  }
}

Claude Desktop (claude_desktop_config.json)

See config/claude-desktop-mcp.json for the full example.


MCP Tools

Lifecycle

Tool Description
codeparse_init Initialize/reset DB
codeparse_sync Parse and sync all files
codeparse_status DB health and statistics
sync_file Sync a single file

Class Queries

Tool Description
get_class Full class info (fields, hierarchy, annotations, ASIL)
search_classes Find classes by name pattern

Method Queries

Tool Description
get_methods All methods for a class
search_methods Find methods by name/signature

Control Flow Graph

Tool Description
get_cfg CFG nodes + edges for a method (C0/C1 coverage)

MC/DC (ISO 26262 ASIL-D)

Tool Description
get_mcdc MC/DC conditions, truth tables, independence pairs for a method
get_mcdc_for_class All MC/DC data for entire class

Call Graph

Tool Description
get_callees Methods called by a method (mock targets)
get_callers Methods that call a method (impact)

UT Generation

Tool Description
get_ut_context Primary tool — full context for AI UT generation: class + methods + CFG + MC/DC + mock targets
get_dependencies Import dependencies for a file

What Gets Parsed

Java

  • Package and import declarations
  • Class/interface/enum/annotation declarations (nested included)
  • All modifiers, annotations, Javadoc
  • Method signatures, parameters, return types, throws
  • Field declarations with types and visibility
  • CFG: if/for/while/do/switch/try/catch/return/throw nodes and edges
  • MC/DC: boolean condition decomposition, truth tables, independence pairs
  • Call graph: method invocations with line numbers
  • ASIL level detection from @ASIL_D annotations or /** @ASIL D */ Javadoc

Xtend

  • Package, import, class declarations
  • def, override, dispatch methods
  • val/var fields + Java-style fields
  • All visibility modifiers
  • CFG: if/for/while/do/switch/try/catch/return/throw (pattern-based)
  • MC/DC analysis on boolean expressions
  • Extension method detection
  • ASIL annotation detection

Graph DB Schema

The SQLite database stores:

files           → source file registry + SHA-256 for change detection
packages        → Java package index
classes         → class/interface/enum with full metadata
methods         → method signatures + CFG stats + MC/DC summary
fields          → class fields
cfg_nodes       → CFG nodes per method (ENTRY, STATEMENT, BRANCH, LOOP, RETURN, ...)
cfg_edges       → CFG edges (sequential, true_branch, false_branch, exception, loop_back)
call_edges      → caller → callee relationships
dependencies    → file-level import and type dependencies
mcdc_conditions → expanded MC/DC conditions with truth tables and independence pairs
parse_errors    → per-file error log

Example: AI UT Generation Workflow

1. User asks Copilot/Claude: "Generate unit tests for com.safety.BrakeController"

2. AI calls: get_ut_context { qualifiedName: "com.safety.BrakeController" }

3. Response includes:
   - Class metadata + ASIL-D level
   - All 12 methods with parameters and signatures
   - CFG for each method (C0/C1 coverage map)
   - MC/DC conditions with independence pairs (ASIL-D 100% target)
   - Mock targets (callees to stub)
   - Estimated minimum 47 test cases needed

4. AI generates JUnit 5 test class covering:
   - All statement paths (C0)
   - All branch pairs (C1)
   - All MC/DC independence pairs
   - ASIL-D annotation on each test

Configuration (.codeparse.json)

{
  "projectRoot": "/path/to/project",
  "dbPath": "/path/to/.codeparse/graph.db",
  "include": ["**/*.java", "**/*.xtend"],
  "exclude": [
    "**/node_modules/**",
    "**/build/**",
    "**/target/**",
    "**/.gradle/**",
    "**/generated/**"
  ]
}

Incremental Sync

Files are tracked by SHA-256 hash. On each sync:

  • New files → parsed and inserted
  • Changed files → deleted from DB (cascade) and re-parsed
  • Unchanged files → skipped (fast)
  • Call graph → second-pass resolution of caller→callee IDs

This means sync is safe to run on every save or in CI without performance penalty.


Extending: Add More Languages

  1. Add a parser in src/parser/<lang>-parser.js implementing parse<Lang>(source, path)
  2. Return { packageName, imports, classes } matching the existing schema
  3. Add the extension to include globs in config
  4. Register in src/graph/builder.js syncProject switch

Requirements

  • Node.js ≥ 20
  • Or Docker (no Node required on host)
  • SQLite (bundled via better-sqlite3)

推荐服务器

Baidu Map

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。

官方
精选
JavaScript
Playwright MCP Server

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。

官方
精选
TypeScript
Magic Component Platform (MCP)

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。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

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。

官方
精选
本地
TypeScript
VeyraX

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。

官方
精选
本地
graphlit-mcp-server

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。

官方
精选
TypeScript
Kagi MCP Server

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。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

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。

官方
精选