Custom MCP development: build once, connect everywhere
We design, develop and deploy custom MCP servers that make your APIs, products and services accessible to AI agents and AI-native applications.
Why companies build MCP servers
Reach users through the AI assistants they already use every day
AI agents are becoming a new distribution channel for software products, but APIs alone don’t make products accessible to them. MCP provides a standardized layer that allows AI systems to discover, understand and interact with your product. Instead of building separate integrations for every AI platform, you build one MCP server that can work across the entire MCP ecosystem.
We handle the entire journey – from API integration and MCP architecture to deployment, testing and MCP Registry publication – so your product is ready for the AI ecosystem.
MCP is transforming products across industries
Any product with APIs, data or business workflows can become accessible to AI assistants and agents through MCP
Not sure if your product needs MCP?
What We Deliver
Upload-ready MCP solution: everything required for your succesful MCP registry
Custom MCP Server
Authentication & authorization
Tool and resource implementation
API integration
Deployment setup
Monitoring & logging
MCP registry publication & support
See integrations example
Custom MCP Server for Agent-Ready Fintech API Integration
Challenge
A fintech company providing banking infrastructure — card issuance, payment processing, transaction management, FX operations, Google Pay and Apple Pay integrations — serves banks, neobanks, and fintech startups building on top of their APIs.
As the client base grew, so did a recurring bottleneck: developers kept running into the same integration friction: which endpoints to use, how to sequence operations, how to handle edge cases. Without a fast path to answers, everything was routed to support.
The documentation existed, but it wasn’t accessible to the tools doing the work.
What we built
We designed and developed a custom MCP server that exposes the platform’s API layer and documentation as a controlled, permission-aware knowledge source for MCP-compatible clients such as Claude, Cursor, and other AI coding environments.
The server implements a clear separation between read-only tools for endpoint discovery and integration guidance, and action tools for sandbox operations, with production write access requiring explicit authorization and additional guardrails. All access controls, validation, and audit mechanisms are implemented in line with MCP specification security requirements.
Touchlane handled the full scope: API analysis, MCP architecture, tool and resource implementation, authentication layer, and deployment configuration for approved client environments.
Result
Integration questions that previously generated support tickets now resolve at the agent level. Client developers work faster and more independently. The platform gains a presence in the AI-native development layer its clients already operate in, with no changes to the underlying APIs or client-side infrastructure.
Why choose Touchlane for custom MCP development
We don't just build MCP servers - we help products become AI-native. Every solution we deliver is guided by major principles that ensure long-term value, adoption and maintainability.
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Deep backend and API expertise
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Experience with AI-powered systems
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Fast delivery cycles
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Focus on usability & long-term maintainability
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End-to-end ownership from architecture to launch
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Security & compliance control
Explore MCP opportunities for your product
Whether you're planning your first MCP server or looking to expand an existing AI integration strategy, we'll help you define the right architecture, scope and implementation approach.
Talk to an MCP Expert