Integrates with Hugging Face APIs to access the TSpec-LLM dataset containing 535M words of 3GPP specification data for direct specification search and analysis
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:
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:
For other MCP clients: Add this to your MCP configuration:
Alternative: Auto-Configuration
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 |
| Direct TSpec-LLM search | Query + filters | Structured spec results + relevance scores |
| Comprehensive spec details | Specification ID | Full metadata + implementation guidance |
| Multi-spec comparison | Array of spec IDs | Comparison matrix + migration analysis |
| Requirements extraction | Spec scope + focus | Technical requirements + testing guidance |
Example Queries
Direct Specification Search:
Implementation Requirements:
Specification Comparison:
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
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
Option 3: Auto-Configuration
Environment Variables
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
Adding New Tools
Create tool class in
src/tools/
Define tool schema with input/output types
Implement
execute()
method with API integrationExport tool and register in
src/index.ts
API Integration
Extend
TSpecLLMClient
for new TSpec-LLM capabilitiesExtend
TGPPApiClient
for additional 3GPP.org endpointsAdd 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
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.
Technical Foundation
Built using the Model Context Protocol SDK
Integrates with TSpec-LLM dataset
Supports 3GPP specifications from 3GPP.org
V3.0.0: True MCP architecture providing direct specification access through external API integration.
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
Tools
Enables AI assistants to access and search 3GPP telecommunications specifications through direct integration with the TSpec-LLM dataset. Provides real-time specification content, implementation requirements, and multi-spec comparisons for 3GPP standards development.