MCP (Model Context Protocol)
Connecting AI agents to the tools and data they need
$ cat services.json
MCP Server Development
Build custom MCP servers to expose your tools and data to AI agents.
- Tool definition and schemas
- Resource providers
- Context management
- Authentication integration
- Error handling
AI Agent Tool Integration
Connect AI agents to your existing systems via MCP.
- Database access tools
- API wrappers
- File system access
- Custom business logic
- Security controls
Enterprise MCP Architecture
Design MCP infrastructure for enterprise AI deployments.
- Multi-tenant architecture
- Access control
- Audit logging
- Rate limiting
- Monitoring
$ man mcp-model-context-protocol
What is MCP?
Model Context Protocol (MCP) is a standard for connecting AI models to external tools and data sources. It enables:
- Tool Calling: AI can execute functions in your systems
- Resource Access: AI can read from databases, files, APIs
- Context Sharing: Consistent context across AI interactions
- Security: Controlled access with proper authentication
MCP vs Function Calling
MCP goes beyond simple function calling:
| Feature | Function Calling | MCP |
|---|---|---|
| Standardization | Provider-specific | Universal protocol |
| Resources | Not supported | First-class support |
| Context | Per-request | Persistent |
| Discovery | Manual | Automatic |
| Ecosystem | Fragmented | Growing standard |
$ cat README.md
MCP Server Example
| |
MCP Use Cases
| Use Case | Tools/Resources | Example |
|---|---|---|
| Knowledge Base | Document search, Q&A | Answer questions from docs |
| Database Access | SQL queries, CRUD | AI-powered data analysis |
| API Integration | External service calls | Booking, CRM updates |
| File System | Read/write files | Code generation, reports |
| Communication | Email, Slack, etc. | Automated notifications |
Related
Experience:
- Founder at Sparrow Intelligence - Building MCP servers
Case Studies: Agentic AI Knowledge Systems
Related Technologies: Anthropic Claude, AI Agents, LangChain, FastAPI, Python
$ ls -la projects/
Enterprise Knowledge Agent
@ Sparrow IntelligenceBuild an AI agent that can access company knowledge bases, databases, and APIs.
Custom MCP servers for database access, document retrieval, and API integration with proper access controls.
AI agents that can safely access enterprise data with audit trails.
Legal Research Assistant
@ AnaquaEnable AI to search and retrieve legal documents with proper context.
MCP server wrapping patent database with semantic search, citation retrieval, and structured output.
Lawyers can ask natural language questions and get accurate, cited answers.
$ diff me competitors/
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