--- title: "MCP Server Development Services: Connect AI to Tools" description: "MCP server development services: custom Model Context Protocol servers that let Claude and other AI tools securely read and act in your CRM, database, accounting or internal apps." url: https://tribehq.ai/services/mcp-server-development/ section: "Services" updated: 2026-10-26 questions: - "What is an MCP server?" - "Why build a custom MCP server?" - "Which AI tools can use it?" - "Is it secure?" - "How long does it take?" --- # MCP Server Development Services: Connect AI to Tools > MCP server development services: custom Model Context Protocol servers that let Claude and other AI tools securely read and act in your CRM, database, accounting or internal apps. Source: https://tribehq.ai/services/mcp-server-development/ --- MCP server development # Give your AI secure access to your tools. Custom MCP server development — we build Model Context Protocol servers so Claude and other AI tools can read and act inside your CRM, database, accounting system or internal apps, with the permissions you choose. **Your server, your code, your rules.** - MCP - Claude - Claude Code - TypeScript - Python - Cloudflare [Book a workflow audit](https://calendly.com/hello-tribehq/30min) [What’s included](#included) ## In short TribeHQ is an AI automation agency for growing businesses. MCP server development services: custom Model Context Protocol servers that let Claude and other AI tools securely read and act in your CRM, database, accounting or internal apps. - **Who it’s for:** Growing businesses and lean teams in the US, UK, Australia and beyond - **Built on:** MCP, Claude, Claude Code, TypeScript, Python and Cloudflare - **Timeline:** 1–3 weeks for a focused MCP server, including testing - **Cost:** Fixed-fee audit, then a quoted build sprint — [see pricing](https://tribehq.ai/pricing/) - **Your team’s time:** Under 10 hours of your team’s time from audit to go-live - **Ownership:** You own the code and accounts. No licence fees to us, no lock-in. The problem ## Sound familiar? ### AI that can’t see your data Claude is only as useful as what it can reach — and your key systems have no connector. ### Copy-paste between tools People export data, paste it into AI chats and paste the answers back by hand. ### Security worries You don’t want an AI with full admin access to your CRM or books. What’s included ## MCP server development, built for your business. Custom to your process, built on the tools you already use — and a person approves anything that matters. ### Design - Map which tools, data and actions AI should reach - Read-only vs write access decided per action - Authentication and least-privilege scopes - Approval steps for anything risky ### Build - Custom MCP servers in TypeScript or Python - Tools, resources and prompts designed for your workflows - Remote servers with OAuth, or local for your team - Tests against real data before rollout ### Deploy & maintain - Hosted in your cloud account - Logging of every call the AI makes - Setup in Claude, Claude Code and other MCP clients - Docs and source in your GitHub How it works ## Map. Build. Run. 1. **Workflow audit** 1 week, fixed fee. We map how it works today and agree what to fix first. Your team: about 3 hours. 2. **Build sprint** 2–4 weeks. We build, test and document it on your stack. Your team: about 1 hour a week. 3. **Run & improve** Monthly, optional. We monitor and tune it. Cancel anytime — it stays yours. Your team: about 30 minutes a month. [See pricing →](https://tribehq.ai/pricing/) ## Questions about MCP server development ### What is an MCP server? MCP (Model Context Protocol) is an open standard that lets AI tools like Claude connect to other systems. An MCP server exposes a set of tools and data — for example ‘search deals’ or ‘create invoice draft’ — that the AI can use, with the permissions you set. ### Why build a custom MCP server? When there’s no ready-made connector for your system, when the existing one gives too much access, or when you want AI to work in your workflow’s terms rather than raw API calls. ### Which AI tools can use it? Any MCP client, including Claude, Claude Code and a growing number of other AI apps and IDEs. ### Is it secure? We design for least privilege: read-only by default, write actions only where you approve them, OAuth or scoped keys, and logs of every call. The server runs in your own cloud account. ### How long does it take? A focused MCP server for one system typically takes one to three weeks, including testing and setup in your AI tools. ## See what this would look like for you. A 30-minute call. We’ll look at how you work today and tell you what’s worth building — and what isn’t. 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