MCP Development
Build standardized Model Context Protocol servers that connect LLMs to your data sources and tools—reusable across all AI platforms.
Model Context Protocol (MCP) is the open standard for connecting LLMs to external data and tools. Build MCP servers that expose your databases, APIs, and services to any MCP-compatible AI client. From Claude Desktop to custom AI applications—one server powers them all. Secure, standardized, and reusable across your AI ecosystem.
Tool Definitions
Standardized function schemas
Secure Access
Authentication and permissions
Real-Time
Streaming and async operations
Multi-Client
Works across AI platforms
- Standardized integration protocol — No custom connectors per AI platform
- Reusable across AI platforms — Build once, use in Claude, VS Code, custom apps
- Secure tool access — Authentication, rate limiting, audit logging built-in
- Easy maintenance — Update once, changes propagate to all clients
- Open-source ecosystem — Leverage community MCP servers and contribute yours
- Future-proof — As more platforms adopt MCP, your servers gain compatibility
Database MCP Server
Expose PostgreSQL, MongoDB, or MySQL to AI clients. LLMs can query data, generate reports, and answer questions about your database—with proper access controls and SQL injection protection.
File System MCP Server
Let AI read, write, search files in designated directories. Perfect for document analysis, code generation, and automated file organization—with sandboxing for security.
API Integration MCP Server
Wrap internal REST APIs, GraphQL endpoints, or third-party services. AI agents can invoke APIs, parse responses, and chain multiple API calls—all through standardized MCP interface.
Ready to connect your tools to the MCP ecosystem? Let's build your custom MCP servers.
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