1. What is MCP?
Introduction to Model Context Protocol
Model Context Protocol (MCP) is an open protocol that enables seamless integration between AI assistants like Claude and external data sources, tools, and services. Think of MCP as a standardized way for AI models to access and interact with specialized capabilities beyond their built-in knowledge.
Key Concepts
Traditional AI Limitations:
AI models have knowledge cutoffs
Cannot access real-time or proprietary data
Limited to general knowledge training data
Cannot perform specialized calculations or access specific databases
MCP Solutions:
Dynamic Data Access: Connect to live databases and APIs
Specialized Tools: Add domain-specific capabilities
Contextual Intelligence: Provide relevant context from your systems
Secure Integration: Maintain data privacy and access controls
How MCP Works
When you ask LLM (Claude, ChatGPT, Microsoft Copilot, etc) a question, MCP can:
Detect when specialized knowledge or tools are needed
Activate the appropriate MCP integration
Query external systems securely
Process the information with AI intelligence
Deliver comprehensive, accurate responses
Benefits for Financial Services
Real Data: Access actual company filings instead of general knowledge
Accuracy: Source information from official documents
Efficiency: Automate complex research workflows
Compliance: Maintain audit trails and source attribution
Scalability: Process multiple queries simultaneously
Orbit Public Company Research MCP
Our MCP specifically connects LLM to Orbit's comprehensive database of official company filings, enabling:
Natural language queries about public companies
Analysis based on official filings and regulatory documents
Multi-company comparisons with actual data
Source-attributed responses for compliance
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