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:

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

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- 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!)

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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"
}
}
}
}
`

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`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
`

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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

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- Real-time access to TSpec-LLM's comprehensive 3GPP dataset
- Structured content excerpts with relevance scoring
- Official specification metadata integration

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- JSON-formatted responses optimized for AI agent consumption
- Consistent schema across all tool responses
- Rich metadata embedded in all responses

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- Technical requirements extraction from specifications
- Dependency analysis and implementation guidance
- Testing considerations and compliance mapping

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- <500ms cached response times
- <2s fresh API call responses
- <10MB memory footprint (stateless design)
- Unlimited concurrent users (external API scaling)

Architecture

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#### 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

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No local installation needed! Server runs directly from NPM.

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`bash

Clone and setup for development

git clone
cd 3gpp-mcp-server/3gpp-mcp-server-v2
npm install
npm run build
npm run start
`

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`bash
npx 3gpp-mcp-charging@latest init
`

Environment Variables

`bash


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

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`bash
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
`

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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

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- 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

MIT License - see LICENSE file for details.

Acknowledgments

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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

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.

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- Built using the Model Context Protocol SDK
- Integrates with TSpec-LLM dataset
- Supports 3GPP specifications from 3GPP.org

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