MCP Servers

MCP Server Development

The Model Context Protocol (MCP) is the open standard that lets AI agents — including Claude, Claude Code, and any MCP-compatible client — securely connect to your tools, databases, and APIs. SaTekk builds custom MCP servers that expose your business logic, internal systems, and data as callable tools that any AI agent can use. It's the fastest way to make your infrastructure AI-ready without rebuilding your stack.

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MCP server builds we deliver

01

Custom Tool Definition

We design and implement MCP tools that expose your internal functions — search, read, write, trigger — with proper schemas and descriptions that LLMs can reliably invoke.

02

Resource & Data Exposure

Expose your databases, file systems, APIs, and documents as MCP resources — queryable by any AI client with the right permissions.

03

Auth & Permission Layers

OAuth 2.0, API key validation, and role-based access so your MCP server only exposes what each agent or user is authorized to see and do.

04

TypeScript & Python Implementations

We implement MCP servers using the official TypeScript or Python SDKs, targeting local stdio, SSE, or HTTP transport depending on your deployment model.

05

Claude Desktop & Claude Code Integration

We configure and test your MCP server against Claude Desktop, Claude Code, and custom agent runtimes to ensure all tools work correctly end-to-end.

06

Production Deployment

MCP servers deployed to Railway, Vercel, AWS, or your own infrastructure — with logging, error handling, and monitoring built in from day one.

Free
30-min strategy call
100%
source-code ownership
Fixed
timeline & pricing
30d
post-launch support

Related reading

01

How to build an MCP server, step by step

The full build path from transport choice to tool design and deployment.

02

What MCP server development costs in 2026

Price ranges by server complexity, and what pushes a build up a tier.

03

Integration projects we shipped to production

Measured outcomes from SaTekk builds, with the numbers behind them.

Frequently asked questions

What is an MCP server?+
MCP (Model Context Protocol) is an open standard created by Anthropic that defines how AI models connect to external tools and data. An MCP server is a service you run that exposes capabilities — search your database, create a Jira ticket, query your CRM — which any MCP-compatible AI client can then call. Think of it as a standardized plugin system for AI agents.
When do I need a custom MCP server?+
You need a custom MCP server when you want AI agents to interact with your proprietary systems — internal databases, custom APIs, business logic — that aren't available through public integrations. It's also the right choice when you're building AI tooling for your team using Claude Desktop or Claude Code and want to give it access to your infrastructure.
How long does it take to build an MCP server?+
A focused MCP server with 3–5 tools typically takes 1–2 weeks. Complex servers with auth, multiple resource types, and production deployment take 3–5 weeks. We can often ship a working prototype in a few days for you to test with Claude Desktop before committing to the full build.
What languages and transports do you support?+
We build MCP servers in TypeScript (Node.js) and Python, the two languages with official Anthropic MCP SDKs. We support stdio transport for local use, SSE for remote streaming, and HTTP for standard web deployment. We target whatever environment fits your team's infrastructure.
~/satekk $ ./start-project

Make your systems AI-ready with MCP.

Book a free call. We'll review your infrastructure and tell you exactly which tools to expose, and how to build a secure MCP server around them.

Book your free call →[email protected]