MCP Filesystem Server

MCP Filesystem Server

Provides LLM-optimized tools for advanced code analysis, repository complexity evaluation, and call graph generation. It enables users to visualize directory structures, detect code patterns, and build semantic context with significant token savings.

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README

RIG MCP Tools

A Model Context Protocol (MCP) server providing intelligent code analysis, graph-based architecture insights, and file operations for AI assistants.

Overview

RIG MCP Tools combines two layers of intelligence:

  • Static analysis — A Repository Intelligence Graph (RIG) built from AST parsing (ts-morph, tree-sitter) stored in SQLite, enabling graph queries with zero LLM cost.
  • LLM-powered tools — A subset of tools that call a configurable GLM-compatible API for natural language reasoning over code.

Installation

From npm

npx rig-mcp-tools

From source

git clone <repository-url>
cd rig-mcp-tools
npm install
npm run build

Docker

docker build -t rig-mcp-tools .
docker run rig-mcp-tools

Configuration

MCP client (Claude Desktop, Cursor, etc.)

{
  "mcpServers": {
    "rig-tools": {
      "command": "node",
      "args": ["/path/to/dist/index.js"],
      "env": {
        "WORKSPACE_PATH": "/your/project",
        "GLM_API_URL": "https://api.z.ai/v1/chat/completions",
        "GLM_MODEL": "GLM-4.5-Air"
      }
    }
  }
}

Environment variables

Variable Default Description
WORKSPACE_PATH /workspace Root workspace path
GLM_API_URL https://api.z.ai/v1/chat/completions LLM API endpoint (OpenAI-compatible)
GLM_MODEL GLM-4.5-Air Model to use for LLM-powered tools

LLM-powered tools are optional — all other tools work without any API key.

Available Tools

RIG — Graph Analysis

These tools index the repository into a SQLite graph via AST parsing and query it without calling any LLM.

get_smart_context

Retrieve the most relevant files and symbols for a query using graph centrality and keyword scoring.

{ "rootPath": "/project", "text": "authentication flow" }

get_architectural_metrics

Executive summary of repository architecture: core hubs, entry points, and stable foundations ranked by graph centrality.

{ "rootPath": "/project" }

graph_analyzer

Component-level complexity analysis with hotspot detection and refactor recommendations.

{ "rootPath": "/project" }

generate_call_graph

Generate call graphs or dependency diagrams between components, files, or symbols.

{
  "rootPath": "/project",
  "level": "component",
  "format": "mermaid",
  "maxDepth": 5
}

level: "component" | "file" | "symbol"
format: "mermaid" | "dot" | "json"

generate_diagram

Generate C4 architecture diagrams, sequence diagrams, call graphs, or dependency visualizations from the RIG.

{
  "rootPath": "/project",
  "type": "c4-container",
  "format": "mermaid",
  "focus": "auth",
  "maxDepth": 3,
  "style": "default"
}

type: "c4-context" | "c4-container" | "c4-component" | "sequence" | "call-graph" | "dependency-graph"
format: "mermaid" | "plantuml" | "dot"
style: "default" | "compact" | "detailed"

extract_method

Surgically extract a function or class from a source file to a target file using RIG symbol coordinates.

{
  "rootPath": "/project",
  "sourceFile": "src/utils/helpers.ts",
  "symbolName": "formatDate",
  "targetFile": "src/utils/date.ts"
}

File Operations

Pure filesystem tools, no graph or LLM required.

read_files

Read content of up to 10 files in a single call.

{ "files": ["src/index.ts", "src/config.ts"] }

write_code_unit

Write or overwrite a file with specific content. Creates parent directories as needed.

{ "path": "src/utils/new-file.ts", "content": "export const foo = 1;" }

ls_tree

List directory structure as an ASCII tree.

{ "path": "/project/src", "maxDepth": 3 }

search_code

Search text or regex patterns recursively across the codebase.

{ "path": "/project/src", "pattern": "useEffect", "useRegex": false }

inspect_symbols

Extract class and function signatures from a file using AST analysis (ts-morph).

{ "file": "src/tools/index.ts" }

run_shell_task

Execute allowed shell commands. Whitelisted commands only: npm test, npm run lint, npm run build, tsc, git status, git diff, git log, ls -la, pwd.

{ "command": "npm run build", "timeout": 60000 }

Quality Analysis

Static analysis tools, no LLM required.

detect_patterns

Detect anti-patterns, code smells, and security issues using Babel AST analysis.

{ "sourceCode": "...", "filePath": "src/auth/login.ts" }

suggest_refactor

Detect refactoring opportunities: long functions, deep nesting, magic numbers, duplicate code, and missing type annotations.

{
  "file_path": "src/services/user.ts",
  "max_suggestions": 10,
  "min_priority": 3,
  "include_diff": true
}

Either file_path or code_snippet must be provided.

analyze_dependencies

Build a lightweight dependency graph of TypeScript files via import analysis. Returns nodes, circular dependencies, and DOT format for Graphviz.

{ "rootPath": "/project/src" }

LLM-Powered

These tools require GLM_API_URL and GLM_MODEL to be configured.

analyze_logic

Ask a natural language question about a piece of code. Uses the configured LLM to reason about behavior, intent, or logic.

{
  "code": "function debounce(fn, delay) { ... }",
  "question": "What edge cases does this miss?"
}

smart_summarize

Generate an intelligent summary of a code file including imports, exports, purpose, and key dependencies.

{ "code": "...", "maxLength": 200 }

Architecture

src/
├── cli/           # rig-indexer CLI (pre-index a repo into .rig/index.db)
├── graph/         # RIG graph engine (indexer, parsers, SQLite storage, types)
├── security/      # Path validation and safe extension checks
└── tools/         # MCP tool implementations (17 tools)

Pre-indexing a repository

For large codebases, pre-index before using RIG tools:

npx tsx src/cli/index.ts /path/to/project --db /path/to/project/.rig/index.db

Options: --max-files <n>, --include-tests, --json

Development

npm run build   # Compile TypeScript
npm run dev     # Run in development mode
npm test        # Run test suite
npm run clean   # Clean build artifacts

License

MIT

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