Overview
Model Context Protocol (MCP) is an open standard introduced by Anthropic that allows AI applications (like Claude Desktop, Cursor, and custom LLM clients) to securely access local and remote data sources, tool registries, and workflow APIs.
Features
What's Included
- Custom MCP Server Development (TypeScript/Python)
- Database & Warehouse MCP Connectors (PostgreSQL, Snowflake)
- Internal API & Microservice MCP Wrappers
- OAuth2 & API Key Dynamic Authentication Middleware
- SSE (Server-Sent Events) & Stdio Transport Architecture
- MCP Server Security Audits & Rate-Limiting Controls
Solutions
Problems Solved
- Replaces clunky, custom API glue code with a unified open AI protocol.
- Allows AI agents to securely query internal databases with granular permissions.
- Connects IDEs and AI assistants directly to custom engineering tools.
- Standardizes how LLMs read files, execute scripts, and query services.
Benefits
Why You Need This
- Instant compatibility with Claude Desktop, Cursor, and emerging AI tools.
- Zero-leakage security boundaries with strict user authorization.
- Accelerates developer productivity by bringing AI directly to internal tools.
- Future-proof AI architecture built on standard open specifications.
Process
How We Work
Tech Stack
Technologies We Use
TypeScript
Python
FastAPI
Node.js
JSON-RPC 2.0
SSE
Docker
OAuth2
FAQ
Frequently Asked Questions
What is an MCP Server?
An MCP (Model Context Protocol) server is a lightweight application that exposes data, prompts, and executable tools to LLMs using a standardized JSON-RPC protocol.
Which AI clients support MCP?
Anthropic Claude Desktop, Cursor IDE, Zed, Sourcegraph Cody, and custom LLM applications built with the MCP SDK.
Can an MCP server query our private SQL database?
Yes! We build read-only or permission-controlled MCP servers that allow LLMs to safely run queries against SQL/NoSQL databases.
Is MCP secure for internal company data?
Yes. MCP operates over secure local transports (stdio) or encrypted HTTP/SSE streams with custom API key or OAuth2 authentication.
What languages do you write MCP servers in?
We primarily build MCP servers using TypeScript (Node.js) or Python depending on your backend infrastructure.
What is the difference between REST API and MCP?
REST is designed for traditional client-server web apps. MCP is optimized specifically for LLMs to inspect capabilities, read prompts, and call functions dynamically.
Can you convert our existing REST/GraphQL API into an MCP server?
Yes! We create wrapper MCP servers that convert your existing endpoint documentation into LLM-accessible tools.
Do you build custom MCP tools for developers?
Yes, we create custom engineering tools for dev teams to query deployment pipelines, logs, and codebases via AI.
How do we deploy an enterprise MCP server?
We package MCP servers into lightweight Docker containers ready for deployment on AWS ECS, Kubernetes, or internal servers.
How do we start an MCP development engagement?
Contact our engineering team to review your technical specs and get a project timeline.