Model Context Protocol (MCP) development
MCP servers that let Claude and other AI agents use your data and tools safely, with permissions, logging and clear boundaries.
What we build
What we build with MCP
Data MCP servers
Scoped access to PostgreSQL, Supabase, MySQL and internal APIs.
Product MCP servers
Let your customers use your SaaS from Claude and other AI clients.
Workflow tools
MCP tools that trigger n8n or Make.com workflows from an AI chat.
Why Widle
MCP servers you can trust with real systems
We build MCP servers when AI agents need safe, permissioned access to your own systems, and we log every call they make.
- 01
Security first
Least-privilege auth, input validation and audit logs on every tool call.
- 02
Well-designed tools
Clear tool names, schemas and descriptions so models use them correctly.
- 03
End to end
We write the server, deploy it, watch the logs and document every tool for your developers.
Services
Services that use MCP
MCP Server Development
Give Claude and other AI agents safe, permissioned access to your databases, APIs and internal tools, with every call logged.
Learn more →AI Agents & LLM Apps
Assistants that answer from your documents, use your tools and hand over to a person when they should, tested before they meet a customer.
Learn more →AI Full-Stack Development
AI products that hold up with real users: SaaS platforms, copilots and AI features inside your app, with the unglamorous parts (auth, billing, testing and monitoring) done properly.
Learn more →Industries
Where we use MCP
MCP FAQs
What is MCP?
The Model Context Protocol is an open standard for connecting AI applications to external tools and data through a common interface.
Which AI clients can use our MCP server?
Claude, ChatGPT, Gemini, Microsoft Copilot, Cursor and most agent frameworks now support MCP, so one server can serve several AI clients.
Thinking about MCP?
Tell us what you want it to do. In a free 30-minute call we’ll say whether MCP is the right fit and where we’d start.
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