Custom MCP Server: Connect Claude to Your API or Database by Krystian SiekCustom MCP Server: Connect Claude to Your API or Database by Krystian Siek
Custom MCP Server: Connect Claude to Your API or DatabaseKrystian Siek
Cover image for Custom MCP Server: Connect Claude to Your API or Database
A guarded MCP server that lets Claude (Desktop, Claude Code or claude.ai) use your own API, database or internal tools, safely.
Who it's for: SaaS teams who want their product usable from Claude, and businesses who want Claude to work with their own data.
What you get
Tools mapped from your API or database, with read and write tools separated.
Every write action previewed and confirmed by the user before it runs.
OAuth or token auth, rate limits and an audit log of every call.
Deployed over HTTP on your server (Docker), or as a local stdio server.
Tests that call each tool, so you know it works before anyone uses it.
Proof: I run two MCP servers in production myself: a public one for my document products (Docket and Dossier) with OAuth and bot protection, and an operations server with 21 tools for my own stack.
Process: a short scoping call to pick the first 5–10 tools, then build, test, deploy and hand over.
FAQs

Starting at$900
Duration1 week
Tags
AI Agents
Claude
Model Context Protocol (MCP)
Python
TypeScript
API Integration
Service provided by
Krystian Siek Watford, UK
Custom MCP Server: Connect Claude to Your API or DatabaseKrystian Siek
Starting at$900
Duration1 week
Tags
AI Agents
Claude
Model Context Protocol (MCP)
Python
TypeScript
API Integration
Cover image for Custom MCP Server: Connect Claude to Your API or Database
A guarded MCP server that lets Claude (Desktop, Claude Code or claude.ai) use your own API, database or internal tools, safely.
Who it's for: SaaS teams who want their product usable from Claude, and businesses who want Claude to work with their own data.
What you get
Tools mapped from your API or database, with read and write tools separated.
Every write action previewed and confirmed by the user before it runs.
OAuth or token auth, rate limits and an audit log of every call.
Deployed over HTTP on your server (Docker), or as a local stdio server.
Tests that call each tool, so you know it works before anyone uses it.
Proof: I run two MCP servers in production myself: a public one for my document products (Docket and Dossier) with OAuth and bot protection, and an operations server with 21 tools for my own stack.
Process: a short scoping call to pick the first 5–10 tools, then build, test, deploy and hand over.
FAQs

$900