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3GPP MCP Server

by edhijlu

3GPP MCP Server V3.0.0 - Direct Specification Access

Transform your AI assistant into a 3GPP specification expert with direct access to TSpec-LLM's 535M word dataset!

MCP Compatible Node.js Version License: BSD-3-Clause

What This Does

Before: Ask AI about 3GPP specifications - Get generic responses based on training data After: Ask AI + 3GPP MCP Server V3.0.0 - Get direct access to current specification content with structured, agent-ready responses

Revolutionary V3.0.0 Architecture

V3.0.0 represents the True MCP approach - lightweight API bridge providing direct specification data:

Agent Query → MCP Tools → External APIs → Real Specification Data

Key Benefits:

  • True MCP Architecture - Lightweight API bridge (~10MB vs 15GB+)

  • Sub-500ms responses - Intelligent caching with external API integration

  • Agent-optimized - Structured JSON responses for AI agent consumption

  • Real specification data - Direct access to TSpec-LLM's 535M word dataset

  • External API integration - Hugging Face + 3GPP.org APIs

  • Infinite scalability - Stateless API calls, no local storage limits

Quick Start (30 Seconds!)

Direct MCP Setup (Recommended)

Claude Desktop users:

claude mcp add 3gpp-server npx 3gpp-mcp-charging@latest serve

For other MCP clients: Add this to your MCP configuration:

{ "mcpServers": { "3gpp-server": { "command": "npx", "args": ["3gpp-mcp-charging@latest", "serve"], "description": "3GPP MCP Server - Direct access to TSpec-LLM and 3GPP specifications", "env": { "HUGGINGFACE_TOKEN": "optional-for-enhanced-access" } } } }

Alternative: Auto-Configuration

# One-command installation with auto-configuration npx 3gpp-mcp-charging@latest init # Client-specific installation npx 3gpp-mcp-charging@latest init --client claude npx 3gpp-mcp-charging@latest init --client vscode npx 3gpp-mcp-charging@latest init --client cursor

Test It Works

Ask your AI assistant: "Search for 5G CHF implementation requirements in TS 32.290"

You should get structured specification content with implementation guidance, dependencies, and testing considerations!

Available Tools (V3.0.0)

Tool

Purpose

Input

Output

search_specifications

Direct TSpec-LLM search

Query + filters

Structured spec results + relevance scores

get_specification_details

Comprehensive spec details

Specification ID

Full metadata + implementation guidance

compare_specifications

Multi-spec comparison

Array of spec IDs

Comparison matrix + migration analysis

find_implementation_requirements

Requirements extraction

Spec scope + focus

Technical requirements + testing guidance

Example Queries

Direct Specification Search:

"Find charging procedures in 5G service-based architecture" → Returns: TS 32.290 excerpts, CHF implementation details, Nchf interface specifications

Implementation Requirements:

"Extract implementation requirements for converged charging in Release 17" → Returns: Technical requirements, dependencies, testing considerations, compliance notes

Specification Comparison:

"Compare charging evolution from TS 32.240 to TS 32.290" → Returns: Evolution timeline, migration analysis, implementation impact assessment

What You Get

Direct Specification Content

  • Real-time access to TSpec-LLM's comprehensive 3GPP dataset

  • Structured content excerpts with relevance scoring

  • Official specification metadata integration

Agent-Ready Responses

  • JSON-formatted responses optimized for AI agent consumption

  • Consistent schema across all tool responses

  • Rich metadata embedded in all responses

Implementation Intelligence

  • Technical requirements extraction from specifications

  • Dependency analysis and implementation guidance

  • Testing considerations and compliance mapping

Performance Benefits

  • <500ms cached response times

  • <2s fresh API call responses

  • <10MB memory footprint (stateless design)

  • Unlimited concurrent users (external API scaling)

Architecture

Core Components

External API Integration Layer

  • TSpec-LLM Client: Direct integration with TSpec-LLM dataset via Hugging Face APIs

  • 3GPP API Client: Integration with official 3GPP.org APIs for metadata

  • API Manager: Unified orchestration layer for all external APIs

MCP Tool Layer

  • search_specifications.ts: Direct specification search implementation

  • get_specification_details.ts: Comprehensive specification details

  • compare_specifications.ts: Multi-specification comparison

  • find_implementation_requirements.ts: Requirements extraction

Caching & Performance

  • NodeCache: Intelligent API response caching

  • Rate Limiting: Respectful external API usage

  • Error Handling: Robust API integration with fallbacks

Project Structure

3gpp-mcp-server-v2/ ├── src/ # V3.0.0 source code │ ├── api/ # External API integration layer │ │ ├── tspec-llm-client.ts # TSpec-LLM Hugging Face client │ │ ├── tgpp-api-client.ts # 3GPP.org official API client │ │ ├── api-manager.ts # Unified API orchestration │ │ └── index.ts # API exports │ ├── tools/ # MCP tool implementations │ │ ├── search-specifications.ts # Direct specification search │ │ ├── get-specification-details.ts # Comprehensive spec details │ │ ├── compare-specifications.ts # Multi-spec comparison │ │ ├── find-implementation-requirements.ts # Requirements extraction │ │ └── index.ts # Tool exports │ ├── types/ # TypeScript interfaces │ └── index.ts # MCP server implementation ├── bin/ # CLI installation tools ├── docs/ # Documentation ├── tests/ # Test suite └── package.json # NPM package configuration

Requirements

  • Node.js 18+ - Download from nodejs.org

  • MCP-compatible AI assistant (Claude Desktop, VS Code, Cursor, or others)

  • Internet connection - For external API access

  • Optional: Hugging Face token - For enhanced API access

Installation Options

Option 1: Direct MCP Configuration (Recommended)

No local installation needed! Server runs directly from NPM.

Option 2: Development Setup

# Clone and setup for development git clone <repository-url> cd 3gpp-mcp-server/3gpp-mcp-server-v2 npm install npm run build npm run start

Option 3: Auto-Configuration

npx 3gpp-mcp-charging@latest init

Environment Variables

# Optional: Enhanced API access export HUGGINGFACE_TOKEN="your-huggingface-token" # Optional: Custom cache settings export CACHE_TIMEOUT="3600" # seconds export ENABLE_CACHING="true"

Version Evolution

Version

Approach

Storage

Architecture

V1

Data Hosting

15GB+ local dataset

Heavy, non-MCP compliant

V2

Guidance Templates

<100MB knowledge base

Lightweight, guidance-only

V3.0.0

Direct Data Access

<10MB (stateless)

True MCP API bridge

Development

Available Scripts

npm run build # Build TypeScript npm run dev # Development with watch npm run start # Run the server npm run test # Run tests npm run lint # Lint code npm run clean # Clean build artifacts

Adding New Tools

  1. Create tool class in src/tools/

  2. Define tool schema with input/output types

  3. Implement execute() method with API integration

  4. Export tool and register in src/index.ts

API Integration

  • Extend TSpecLLMClient for new TSpec-LLM capabilities

  • Extend TGPPApiClient for additional 3GPP.org endpoints

  • Add orchestration methods to APIManager

Contributing

Contributions welcome! Please focus on:

  • API integration improvements

  • Performance optimizations

  • New MCP tool implementations

  • Documentation enhancements

License

BSD-3-Clause License - see LICENSE file for details.

Acknowledgments

Research Foundation

This project's V3.0.0 architecture was fundamentally inspired by the TSpec-LLM research:

TSpec-LLM: A Large Language Model for 3GPP Specifications

Originally planned as a document reference MCP, discovery of the TSpec-LLM research paper fundamentally changed our approach. The paper's demonstration of significant accuracy improvements (25+ percentage points) through direct LLM access to 3GPP specifications convinced us to pivot from document hosting to external API integration with their comprehensive 535M word dataset.

Technical Foundation


V3.0.0: True MCP architecture providing direct specification access through external API integration.

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