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!

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:

code

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:

bash

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

For other MCP clients:

Add this to your MCP configuration:

json

{
  "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

bash

# 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:

code

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

Implementation Requirements:

code

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

Specification Comparison:

code

"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

cd 3gpp-mcp-server/3gpp-mcp-server-v2

npm install

npm run build

npm run start

code

### Option 3: Auto-Configuration

npx 3gpp-mcp-charging@latest init

code

## 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"

code

## 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

code

### 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**
- Paper: https://arxiv.org/abs/2406.01768
- Authors: Rasoul Nikbakht, et al.
- Dataset: [TSpec-LLM on Hugging Face](https://huggingface.co/datasets/rasoul-nikbakht/TSpec-LLM)

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
- Built using the [Model Context Protocol SDK](https://github.com/modelcontextprotocol/sdk)
- Integrates with [TSpec-LLM dataset](https://huggingface.co/datasets/rasoul-nikbakht/TSpec-LLM)
- Supports 3GPP specifications from [3GPP.org](https://www.3gpp.org/)

---

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

3gpp Mcp Server

Documentation

3GPP MCP Server V3.0.0 - Direct Specification Access

What This Does

Revolutionary V3.0.0 Architecture

Key Benefits:

Quick Start (30 Seconds!)

Direct MCP Setup (Recommended)

Alternative: Auto-Configuration

Test It Works

Available Tools (V3.0.0)

Example Queries

What You Get

Direct Specification Content

Agent-Ready Responses

Implementation Intelligence

Performance Benefits

Optional: Enhanced API access

Optional: Custom cache settings

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