MCP Server Development — Give Claude Access to Your Tools
Custom Model Context Protocol (MCP) server development. Connect Claude (and any MCP-compatible AI) to your databases, APIs, internal tools, or third-party services. Built by the team that builds Claude integrations daily.
Key Features
Custom Tool Connectors
Build MCP servers that expose your APIs, databases, or internal systems as Claude tools.
Resource Providers
Make any data source (Postgres, Notion, Google Drive, GitHub, your SaaS) Claude-accessible.
Auth & Permissions
OAuth, API keys, RBAC — your MCP server enforces who can do what.
Production-Ready
Logging, monitoring, rate limiting, error handling. Built to run, not just demo.
What's Included
MCP Server Build
- Server scaffolding in Python or TypeScript (your choice)
- Tool definitions following MCP spec
- Resource exposure for your data sources
- stdio or HTTP transport (your choice)
- Containerization for easy deploy (Docker / Cloud Run)
Tool Wiring
- Connect to your existing APIs (REST, GraphQL, gRPC)
- Database connectors (Postgres, MySQL, Mongo, SQLite)
- Third-party service wrappers (Stripe, GHL, Slack, etc.)
- File system / cloud storage connectors
- Custom internal-tool wrappers
Auth & Security
- OAuth 2.0 / API key authentication
- Per-tool permission scopes
- Rate limiting and quota enforcement
- Audit logging of every tool call
- Secret management (env vars, Vault, AWS Secrets)
Monitoring & Ops
- Structured logging (JSON, OpenTelemetry)
- Cost tracking per Claude conversation
- Error alerting (Sentry, Datadog, custom)
- Health check endpoints
- Documentation for your team
5 Live Products We've Shipped
Every product below is in production with paying users. Open any link and see what we build.
ItzSEO
AI SEO Workspace + Agency OS — built on Claude. SEO project management, HRMS, client portal, leaderboards in one tool.
Cohort SIS
Student Information System for Canadian private career colleges. Compliance, clock-hour tracking, finance, and admissions in one calm screen.
My Roof CRM
Vertical CRM for roofing companies. Branded proposals, e-signatures, and approved-job-to-invoice workflow.
AI Call Center
AI-powered call assistance platform. Inbound + outbound voice agents, intelligent customer experience orchestration.
Business Proposal
AI proposal generator. Lead discovery, business analysis, proposal drafting, and pipeline tracking.
How We Ship
Use Case & Scoping
What should Claude be able to do? We map your tools and define the MCP surface area.
Spec & Schema
Tool definitions, resource schemas, auth model, deployment target — all written down before code.
Build & Test
We build the MCP server in your stack, write tests for every tool, validate with Claude Desktop or Cursor.
Deploy & Document
Production deploy, runbook, and a Loom of how it works. You can extend it yourself afterward.
Modern Tools, Battle-Tested
Why MCP Matters (and Why to Hire Specialists)
The Model Context Protocol is one of the most important AI infrastructure developments of 2025-2026. It lets Claude (and other LLMs) reliably access tools and data through a standardized interface — without writing custom integration code for every agent. But building production-grade MCP servers is harder than the demos suggest. Here's what we focus on.
MCP Is Newer Than Most Devs Realize
The MCP spec landed in late 2024. Most freelancers have never built one. Most agencies haven't either. We've been building Claude integrations since before MCP existed — when it released, we shipped production MCP servers immediately. You don't want to be the project where someone learns this on your dime.
Production-Grade, Not Demo-Grade
The MCP examples online are all demos. They work on localhost, with no auth, no rate limiting, no error handling. Real MCP servers serving real users need all of that plus observability, secret management, and graceful degradation. That's what we ship.
Tool Design Matters More Than Code
The hardest part of MCP isn't writing the server — it's designing the tools so Claude actually uses them correctly. Bad tool design = Claude calling the wrong tool, passing bad arguments, or ignoring tools entirely. We spend significant time on tool schema, naming, and descriptions because that's what determines whether the agent works.
We Use What We Build
Our internal stack uses MCP servers we built to expose our CRM, our analytics, our docs, and our deployment pipeline to Claude — so we use Claude to run more of our work. We know what works because we live with it.
Transparent, Fixed-Price Packages
Packages
- Custom MCP ServerFrom $749
From a simple 1-3 tool server to enterprise-grade auth, RBAC & multi-tenant — one fixed price & timeline, scoped after a free audit.
All packages include scoping call, written spec, code handover, documentation, and 14 days post-launch support.
Timeline
Free Dev Audit
30-min call. We scope your project, define success criteria.
Written Spec
One-page spec with deliverables, timeline, and fixed price.
Build & Iterate
Daily Loom updates. You can request changes anytime before final ship.
Ship & Support
Production deploy, code handover, documentation. 14 days free post-launch fixes.
Want a custom quote for your project? Book a free dev audit and we'll deliver a written spec within 24 hours.
Book Free Dev AuditFrequently Asked Questions
What is MCP (Model Context Protocol)?
MCP is an open protocol introduced by Anthropic in late 2024 that lets AI applications (like Claude Desktop, Cursor, or your custom app) connect to external tools and data sources through a standardized interface. Think of it like USB for AI tools — instead of writing custom integration code for every agent, you build one MCP server and any compatible AI can use it.
Why would I need a custom MCP server?
If you want Claude to access your private data (CRM, internal docs, proprietary database) or take actions in your systems (create invoices, update tickets, send emails), you need a tool layer. MCP is the cleanest way to build that layer because it's reusable across Claude Desktop, Cursor, your own agents, and any future MCP-compatible AI.
Can MCP servers be public, or are they always private?
Both. Some teams build private MCP servers for internal-only data. Others build public ones (like Anthropic's reference servers for GitHub, Slack, etc.). We build both — most of our work is private MCP servers exposing customer-specific data with proper auth.
What language do you build MCP servers in?
Python or TypeScript by default — those are the two best-supported SDKs. We can build in other languages if you have stack constraints, but Python is usually fastest to ship and most maintainable.
How does MCP authentication work?
Depends on the transport. stdio MCP servers (running locally) typically use OS-level auth. HTTP MCP servers use OAuth 2.0 or API keys. We design auth based on who needs access — individual user, single tenant, multi-tenant — and configure accordingly.
Do MCP servers cost money to run?
The server itself runs cheaply ($5-50/month on Cloud Run, Fly.io, or AWS Lambda). The expensive part is the Claude API calls that happen when Claude uses the tools — that's metered by Anthropic, not us. We help you design tools that minimize unnecessary Claude calls.
Can my MCP server use Claude's tool-use API too?
Yes — and it often should. MCP and tool-use solve overlapping problems. We frequently build MCP servers where individual tools internally make Claude calls to process their results before returning. That layered approach gives you reusable tools AND smart processing.
Will my MCP server work with Cursor / Claude Desktop / other clients?
Yes — that's the whole point of MCP being a standard. A well-built MCP server works with Claude Desktop, Cursor, custom agent frameworks like LangChain or LlamaIndex, and any future client that adopts the spec.
Ready to Build a Custom MCP Server?
Book a free 30-min call. We'll map your tools, design the MCP surface, and quote it.