Skip to main content
Glama
MCP Source Relation Server

MCP Source Relation Server

by owayo

MCP Source Relation Server

This is an MCP server that analyzes the relationships of source code under src directory of a specified directory. It analyzes import statements for each language and identifies dependencies between files. By incorporating it into Claude, Claude can quickly check the dependencies of a project and help identify related files.

function

  • Supports multi-language import parsing

    • TypeScript/JavaScript: import statement, require statement

    • Python: import statement, from ... import statement

    • Ruby: require statement, require_relative statement

    • Rust: mod declaration, use statement

  • Corresponds to path aliases in tsconfig.json (such as @/components/... )

  • Supports special features for each language

    • Python: __init__.py , relative imports

    • Rust: mod.rs pattern

    • TypeScript: alias, index.ts

    • Ruby: require without extension

Related MCP server: QoutaMCP

set up

Prerequisites

  • Python 3.10 or later

  • uv

install

# uvのインストール
$ curl -LsSf https://astral.sh/uv/install.sh | sh

$ cd /path/to/mcp-source-relation
# ライブラリのインストール
$ uv sync

Claude for Desktop Settings

Add the following to claude_desktop_config.json :

{
    "mcpServers": {
        "source-relation": {
            "command": "uv",
            "args": [
                "--directory",
                "/path/to/mcp-source-relation",  # このプロジェクトディレクトリの絶対パスに書き換えてください
                "run",
                "source_relation.py"
            ]
        }
    }
}

How to use

Use by Claude

/Users/xxx/GitHub/xxx/ のソースの依存関係を確認してand instruct it like this, it will work

`/Users/owa/GitHub/mcp-source-relation/` のソースコードの依存関係を確認してみましょう。

依存関係の分析結果から、以下のような構造が確認できます:

1. メインの解析モジュール: `src/source_analyzer.py`
   - 各言語固有の解析モジュールを利用しています(Ruby, Python, TypeScript, Rust)

2. 言語別の解析モジュール:
   - `src/analyzers/ruby.py`
   - `src/analyzers/python.py` 
   - `src/analyzers/typescript.py`
   - `src/analyzers/rust.py`
   - すべて `src/analyzers/base.py` を継承しています

3. 共通基盤:
   - `src/analyzers/base.py`: 基本的な解析機能を提供
   - `src/utils/path.py`: パス操作のユーティリティ
   - `src/configs/typescript.py`: TypeScript固有の設定

特徴的な点:
- 各言語の解析モジュールは共通の基底クラス(base.py)を継承しており、一貫性のある設計になっています
- TypeScriptのみ独自の設定ファイル(configs/typescript.py)を持っています
- パス操作は共通のユーティリティモジュール(utils/path.py)に集約されています

この構造から、新しい言語のサポートを追加する場合は、`src/analyzers/` に新しいモジュールを追加し、`base.py` を継承することで実現できる設計になっていることがわかります。

If you specify a directory, the src directory under it will be analyzed. If you specify a file, the analysis will be based on that file. It also supports path input from the prompt. To use it with a prompt, select Attach from MCP -> Choose an integration -> source-relation .

Output Format

The analysis results are output in JSON format as follows:

{
  "dependencies": {
    "components/Button.tsx": [
      "types/index.ts",
      "utils/theme.ts"
    ],
    "pages/index.tsx": [
      "components/Button.tsx",
      "utils/api.ts"
    ]
  }
}

All paths are relative to the src directory.

Supported import formats

TypeScript/JavaScript

  • import { Component } from './Component'

  • import type { Type } from '@/types'

  • import './styles.css'

  • require('./module')

  • Alias paths ( @/components/... )

Python

  • import module

  • from module import name

  • from .module import name

  • from ..module import name

Ruby

  • require 'module'

  • require_relative './module'

  • Require without extension

Rust

  • mod module;

  • use crate::module;

  • use super::module;

  • use self::module;

Available Tools

1 tool
get_source_relationC

Analyze dependencies between source files

Inputs: path (required).

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    C2.5/5.0

    Scored across 1 tool

    Disambiguation5/5

    With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool has a clearly defined purpose of analyzing dependencies between source files, making it impossible for an agent to misselect between non-existent alternatives.

    Naming Consistency5/5

    A single tool inherently exhibits perfect naming consistency, as there are no other tools to compare against. The tool name 'get_source_relation' follows a clear verb_noun pattern, which would be consistent if more tools existed.

    Tool Count2/5

    A single tool is generally too few for most server purposes, as it limits functionality and suggests an incomplete or overly narrow scope. While it might be appropriate for a highly specialized task, it feels thin and insufficient for comprehensive source dependency analysis, which typically involves multiple operations like listing, updating, or visualizing relations.

    Completeness2/5

    The tool set is severely incomplete for the inferred domain of source dependency analysis. With only a 'get' operation, there are obvious gaps such as creating, updating, deleting, or listing source relations, and no support for lifecycle management or advanced queries. This will likely cause agent failures when more complex operations are needed.

    Maintenance

    ActivityInactive
    ResponsivenessOutdated data

    Related MCP Connectors

    Related MCP Servers

    • A
      license
      A
      quality
      D
      maintenance
      Analyzes codebases to generate dependency graphs and architectural insights across multiple programming languages, helping developers understand code structure and validate against architectural rules.
      6
      49 npm
      20
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      Enables inspection and analysis of project structures to detect languages, frameworks, entry points, and dependencies across multiple programming languages including Node.js, Python, PHP, Go, Java, and Rust.
      3
      10 npm
      1
      ISC
    • A
      license
      Not graded
      quality
      D
      maintenance
      Generates and queries a graph representation of a codebase to identify entities and their relationships, such as function calls and inheritance. It supports multiple languages including Python, JavaScript, and Rust to help users navigate and understand complex code structures.
      24 npm
      22
      MIT
    • A
      license
      B
      quality
      D
      maintenance
      Enables token-efficient semantic search and analysis over any directory of files through hybrid search, directory overview, structural analysis, and dependency graphs.
      14
      18 PyPI
      MIT