AI and Automation
MCP Server Development: Custom MCP Servers for Claude and AI Assistants
We build custom MCP servers, Claude skills and plugins that give AI assistants safe, useful access to your product and your data.
- Your product usable from AI assistants
- Tools designed for models to use correctly
- Scoped, authenticated access to data
- Hosting, documentation and directory listing
Overview
The Model Context Protocol (MCP) is the standard way to connect an AI assistant to outside systems. An MCP server exposes a set of tools, such as looking up an order, searching a knowledge base or creating a ticket, and any assistant that supports the protocol can use them. It is how your product becomes something people can use from inside Claude, ChatGPT and other assistants.
An MCP server is a product interface for AI assistants. Tool design, permissions and clear results matter as much as they do in an API for people.
Capabilities
What we build
MCP servers for your product
A hosted server that lets your customers use your product from Claude, ChatGPT and other assistants.
Internal MCP servers
Secure access for your staff to internal data and systems from the assistant they already use.
Claude skills
Packaged instructions and scripts that teach Claude to carry out a task the way your team does.
Claude Code plugins
Commands, agents and hooks that fit Claude Code into your engineering workflow.
Authentication and permissions
OAuth sign-in, scoped access and audit logging, so each user reaches only what they should.
Hosting and listing
Production hosting, monitoring, documentation and submission to assistant directories.
Why Dude Lemon
Why teams choose us for MCP development
We run fifteen public MCP servers, skills and plugins of our own, used from Claude and other assistants. We have learned what makes a tool easy for a model to use correctly, and what makes it fail, by operating them.
What makes an MCP server work well
Assistants choose tools by reading their names and descriptions. Vague or overlapping tools lead to wrong calls and poor answers. We design a small set of tools around the tasks people ask for, write descriptions the model can act on, and return structured results it can reason about.
How we work
A clear path from idea to production.
Use cases
We identify the tasks people will ask an assistant to do with your system, and which are worth building first.
.01Tool design
We design the tools, inputs and results, and agree how users sign in and what each can access.
.02Build
We build the server against your APIs or data, with tests for each tool.
.03Test with assistants
We run real conversations in Claude and other clients, and refine the tools until they are used correctly.
.04Launch and maintain
We host, document and list the server, and keep it current as the protocol and your product change.
.05Model Context Protocol, Claude API, OAuth, Node.js and TypeScript, Python, Remote and local servers, Claude skills, Claude Code plugins
Engagement and pricing
Custom pricing, based on project scope.
Every project is scoped individually. After a short discovery call you receive a clear written estimate, with no obligation. The engagement types below show how we usually structure the work.
Single server
A focused MCP server with a small set of tools.
- Tool design and build
- Authentication
- Hosting and documentation
Product integration
Your product available across AI assistants.
- Full tool set
- OAuth and scoped access
- Testing with real assistants
- Directory submission
Ongoing development
Continued work as the protocol and your product evolve.
- New tools and skills
- Monitoring and updates
- Support
MCP Server Development FAQ
Frequently asked questions.
Anything we have not answered here, ask us directly. A senior engineer replies.
Contact usWhat is an MCP server?
An MCP server is a service that exposes tools to AI assistants through the Model Context Protocol. Once connected, an assistant such as Claude can call those tools to read data or take actions in your system for the user.
Can you build an MCP server for our product?
Yes. We design the tools around what your customers ask an assistant to do, build the custom MCP server against your API, add OAuth sign-in and host it. A Claude integration built this way also works in other assistants that support the protocol.
Which assistants can use an MCP server?
The protocol is supported by Claude and a growing number of other assistants and developer tools. A server built to the standard works with any client that supports it.
Is it safe to connect an assistant to our data?
It is when access is designed properly. We use OAuth sign-in, scope each user to their own data, limit what each tool can do, and log every call.
Do you already have MCP servers we can try?
Yes. We publish fifteen free MCP servers, Claude skills and Claude Code plugins at dudelemon.com/ai-tools. They need no account or API key.
What is the difference between an MCP server, a skill and a plugin?
An MCP server gives an assistant tools that reach an outside system. A skill is a folder of instructions and scripts that teaches Claude how to do a task. A plugin packages commands, agents and hooks for Claude Code. We build all three and advise on which fits your need.
Let us scope your mcp server development project.
Book a free discovery call. You will hear from a senior engineer, not a sales rep, with a clear view of scope, timeline, and cost within two business days.