re:Invent 2025 MCP Server

Comprehensive Model Context Protocol (MCP) server providing intelligent access to AWS re:Invent 2025 session catalog with 1,843 sessions, advanced search capabilities, and speaker discovery.

---

🚀 Quick Start for Claude Desktop Users

Get instant access to all 1,843 re:Invent 2025 sessions in Claude Desktop:

📦 Download Claude Extension

Installation: Just drag & drop the .mcpb file into Claude Desktop Extensions → Click "Install" → Start exploring!

Try asking Claude: "Find all AI sessions at re:Invent 2025" or "Show me sessions for developers about serverless"

---

🌟 Overview

The re:Invent 2025 MCP Server transforms how professionals navigate AWS's flagship conference. With 1,843 sessions spanning 53 areas of interest and 19 industries, finding relevant content becomes an overwhelming challenge. This MCP server solves that problem by providing AI assistants with intelligent access to the complete session catalog, enabling personalized recommendations, strategic analysis, and data-driven conference planning.

Built on the Model Context Protocol, this server bridges the gap between conference content and actionable insights. Whether you're a developer seeking technical deep-dives, an executive planning strategic initiatives, or a sales professional researching customer opportunities, the server delivers precise, contextual recommendations that maximize your conference ROI.

Real-World Impact

For Technical Teams: Discover hands-on workshops, certification-aligned content, and service-specific sessions that accelerate skill development and project success.

For Business Leaders: Access strategic frameworks, industry-specific insights, and quantified business outcomes ($3.7T markets, 70-90% efficiency gains) that inform decision-making and competitive positioning.

For Sales & Partners: Research customer industries, identify co-marketing opportunities, and extract compelling value propositions from 1,843 sessions of AWS innovation and customer success stories.

For Event Organizers: Analyze content gaps, optimize scheduling, track speaker participation, and understand audience segmentation across the world's largest cloud computing conference.

What is Model Context Protocol (MCP)?

MCP is an open protocol that standardizes how applications provide context to Large Language Models (LLMs). It enables secure, controlled access to external data sources, tools, and services, allowing AI assistants to perform complex tasks with real-world information. This server leverages MCP to make conference navigation as intelligent as the AI systems AWS customers build on the platform.

Why re:Invent 2025 Matters

AWS re:Invent isn't just a conference—it's the epicenter of cloud innovation, where breakthrough technologies like agentic AI, quantum computing, and autonomous systems are unveiled. With sessions covering everything from foundational concepts to distinguished-level expertise, re:Invent shapes the future of technology. This MCP server ensures you don't miss the sessions that matter most to your goals, whether that's technical mastery, business transformation, or competitive advantage.

🚀 Quick Start

One-Click Installation (Claude Desktop)

Download Claude Desktop Extension (.mcpb file):

• 📦 Download Extension

Installation: Drag and drop the .mcpb file into Claude Desktop Extensions → Click "Install"

Command Line Installation

Install instantly with Node.js:

Node.js

npx reinvent2025mcp

MCP Inspector (Testing)

Test the server with the official MCP Inspector:

npx @modelcontextprotocol/inspector npx reinvent2025mcp

Integration with AI Assistants

Configure with popular MCP-compatible clients:

Claude Desktop

Option 1: One-Click Installation (Recommended) Download and drag the .mcpb file from the Quick Start section above.

Option 2: Manual Configuration Settings → Developer → Edit Config:

{
  "mcpServers": {
    "reinvent-2025": {
      "command": "npx",
      "args": ["reinvent2025mcp"]
    }
  }
}

Amazon Q Developer (CLI)

q mcp add --name reinvent-2025 \
  --command npx \
  --args reinvent2025mcp

Amazon Q Developer (IDE)

Chat panel → Tools icon → Add MCP Server:

• Name: reinvent-2025
• Command: npx
• Args: reinvent2025mcp

Cline (VS Code)

MCP Servers icon → Add Server:

{
  "name": "reinvent-2025",
  "command": "npx",
  "args": ["reinvent2025mcp"]
}

Continue.dev

~/.continue/config.json:

{
  "mcpServers": [{
    "name": "reinvent-2025",
    "command": "npx",
    "args": ["reinvent2025mcp"]
  }]
}

Cursor IDE

Settings → MCP → Add Server or .cursor/mcp.json:

{
  "servers": {
    "reinvent-2025": {
      "command": "npx",
      "args": ["reinvent2025mcp"]
    }
  }
}

VS Code (GitHub Copilot)

Extensions → @mcp → Install MCP extension, then configure in settings:

{
  "mcp.servers": [{
    "name": "reinvent-2025",
    "command": "npx",
    "args": ["reinvent2025mcp"]
  }]
}

Quick Setup Commands

Test with MCP Inspector:

npx @modelcontextprotocol/inspector npx reinvent2025mcp

✨ Features

🔍 Intelligent Session Discovery

• Universal Search: Query across titles, abstracts, topics, and metadata
• Empty Query Support: List all 1,843 sessions with pagination
• Fuzzy Matching: Find relevant content even with partial or approximate terms

👥 Speaker Discovery

• Speaker Search: Find speakers by name or company
• Session Mapping: View all sessions for any speaker
• Professional Details: Access speaker titles, companies, and roles

🎯 Advanced Filtering

• 13 Specialized Tools for precise content discovery
• Multi-dimensional Filtering: By level, role, industry, topic, and more
• Smart Categorization: 53 areas of interest, 198 AWS services, 19 industries

⚡ Performance Optimized

• Sub-second Startup: Instant availability with MessagePack data format
• Memory Efficient: ~30MB footprint for complete dataset
• Fast Queries: <10ms response times for typical searches

🛠️ Available MCP Tools

Core Discovery Tools

Tool	Purpose	Use Case
search_sessions	Universal session search or complete listing	"Find all AI sessions" or "" for all sessions
search_speakers	Speaker discovery with session mapping	"Find speakers from AWS" or "" for all speakers
get_session_details	Complete session information	Get full details for session "AIM236-S"
search_services	AWS service-specific sessions	Find sessions covering "Amazon Bedrock"

Specialized Filters

Tool	Categories	Count
get_sessions_by_level	Foundational → Distinguished (100-500)	5 levels
get_sessions_by_role	Developer, Architect, Data Scientist, etc.	19 roles
get_sessions_by_industry	Healthcare, Financial Services, Government, etc.	19 industries
get_sessions_by_topic	AI, Security, Databases, Serverless, etc.	18 topics
get_sessions_by_area_of_interest	Generative AI, DevOps, Cost Optimization, etc.	53 areas
get_sessions_by_segment	Enterprise, Startup, Public Sector, etc.	10 segments
get_sessions_by_feature	Hands-on, Interactive, Lecture-style, etc.	4 formats
list_categories	Browse all available filter values	Dynamic discovery

Key Behaviors

• Empty Query Magic: search_sessions("") returns all 1,843 sessions
• Speaker Discovery: search_speakers("") returns all speakers (5 per page)
• Nested Data: Speakers include their complete session list
• Pagination: Cursor-based navigation for large result sets

📊 Dataset Overview

Comprehensive Coverage

• 1,843 Sessions across all re:Invent 2025 tracks
• 40+ Attributes per session including metadata, speakers, and categorization
• Real-time Accuracy with official session catalog data

Rich Categorization

• 53 Areas of Interest: From Generative AI to Quantum Technologies
• 198 AWS Services: Complete service coverage with session mapping
• 19 Industries: Vertical-specific content discovery
• 19 Job Roles: Content tailored to professional functions
• 5 Difficulty Levels: From foundational to distinguished expertise

Data Quality

• Cleaned Metadata: Removed internal fields, normalized speaker data
• Optimized Format: MessagePack for 25% smaller size and faster loading
• Structured Output: Consistent JSON responses across all tools

🏗️ Architecture

Dual Implementation

The Node.js implementation provides comprehensive functionality:

Feature	Node.js	Status
MCP Tools	13 tools	✅ Complete
Data Format	MessagePack	✅ Optimized
Performance	<1s startup	✅ Fast
Tests	50 tests	✅ Comprehensive
Memory	~30MB	✅ Efficient

Technical Stack

• Protocol: Model Context Protocol (MCP) v1.0
• Data: MessagePack binary format for optimal performance
• Architecture: Simplified array-based processing
• Transport: Standard I/O (stdio) for universal compatibility

🎯 Use Cases

Conference Experience Enhancement

Role-Based Curation

• Developer Teams: Find storage, database, and technical deep-dive sessions
• Sales Professionals: Discover partner programs and revenue growth strategies
• Executives: Access strategic AI transformation and leadership content
• Senior Leaders: Locate organizational frameworks and decision models

Industry-Specific Discovery

• Manufacturing & Industrial: Asset lifecycle, predictive maintenance, HPC workflows
• Energy & Utilities: Renewable planning, industrial operations, compliance automation
• Healthcare & Life Sciences: Regulatory intelligence, quality management, R&D acceleration
• Financial Services: Risk management, compliance, customer experience transformation

Learning & Development

• Certification Pathways: Map sessions to AWS certification requirements
• Skill Progression: Build foundational → expert learning sequences
• Team Training: Bulk recommendations for entire departments
• Prerequisites Mapping: Identify required background knowledge

Business Intelligence & Strategy

Competitive Analysis

• Partner Ecosystem: Track AWS partner involvement and strategic messaging
• Technology Trends: Forecast emerging vs mature technology adoption
• Market Positioning: Analyze AWS strategic priorities by session focus
• Innovation Tracking: Monitor new service announcements and capabilities

Customer Research Integration

• Company Intelligence: Research prospects' business units and pain points
• Solution Mapping: Align customer needs with relevant AWS sessions
• Industry Vertical Analysis: Match customer industries to conference content
• ROI Benchmarking: Extract quantified outcomes across use cases

Event Planning & Operations

• Schedule Optimization: Find non-conflicting sessions for multi-track attendance
• Venue Planning: Identify high-demand sessions requiring larger rooms
• Content Gap Analysis: Discover underrepresented topics or industries
• Speaker Workload: Track speaker participation across sessions

Content Strategy & Marketing

Thought Leadership

• Content Calendar: Plan post-event content creation priorities
• Audience Segmentation: Develop detailed personas from session targeting
• Campaign Messaging: Extract key themes and value propositions
• Innovation Labs: Identify proof-of-concept and R&D opportunities

Partnership Development

• Co-marketing: Analyze joint session participation opportunities
• Solution Integration: Map complementary technology sessions
• Market Expansion: Plan geographic and vertical growth strategies
• Customer References: Identify success stories and case studies

Compliance & Governance

Regulatory Alignment

• Security Frameworks: Map sessions to security certifications
• Compliance Requirements: Find sessions addressing specific regulations
• Audit Preparation: Locate compliance-focused recommendations
• Risk Assessment: Analyze security and governance session content

AI-Powered Applications

Intelligent Systems

• Recommendation Engines: Build personalized session discovery systems
• Conference Chatbots: Power conversational event navigation
• Learning Assistants: Create adaptive learning path generators
• Analytics Platforms: Transform session data into business intelligence

📦 Package Information

Node.js Package

• Name: reinvent2025mcp
• Registry: NPM
• Runtime: Node.js 18+
• Dependencies: @modelcontextprotocol/sdk, @msgpack/msgpack

🧪 Development

Local Development

Node.js

git clone https://github.com/manu-mishra/reinvent-mcp-2025
cd reinvent-mcp-2025/npx
npm install
node src/index.js

Testing

The implementation includes comprehensive test suites:

cd npx && npm test

Data Pipeline

The project includes a complete data collection pipeline:

cd scrapper
python reinvent_scraper.py    # Collect session data
python data_processor.py      # Process and optimize

🤝 Contributing

We welcome contributions! Please see our Contributing Guidelines for details.

Development Areas

• New MCP Tools: Additional session discovery capabilities
• Data Enhancement: Enriched metadata and categorization
• Performance Optimization: Query speed and memory improvements
• Integration Examples: Sample applications and use cases

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🔗 Links

• GitHub Repository: manu-mishra/reinvent-mcp-2025
• Model Context Protocol: modelcontextprotocol.io
• AWS re:Invent 2025: reinvent.awsevents.com
• Author: Manu Mishra

🙏 Acknowledgments

• AWS re:Invent Team for providing comprehensive session data
• Anthropic for developing the Model Context Protocol
• MCP Community for tools, examples, and best practices

---

Built with ❤️ for the AWS Community

⭐ Star this project • 🐛 Report Issues • 💡 Request Features