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MCP Integration and Custom MCP Servers

Give your AI secure access to the tools your team already uses.

1 The Problem

AI assistants are only as useful as the context they can reach. Without access to your databases, APIs and internal tools, people paste data into chats by hand, answers go stale, and every AI client needs its own one-off integration.

2 The Solution

A Model Context Protocol (MCP) layer that exposes your systems as secure, well-described tools and resources. Any MCP-compatible client (Claude, Cursor, ChatGPT or your own agents) can then query live data and run approved actions through one standard interface.

3 See It Working

View the source — DataPilot-MCP on GitHub

View Source ↗

4 Architecture

AI Client (Claude / Cursor / Agent) -> MCP Server -> Auth & Permissions -> Your APIs / Database -> Structured Result

5 Case Study

🤖 DataPilot-MCP Full Problem → Solution → Architecture → Results breakdown

Read Case Study →

6 Investment

This service starts from $299.

Typical Fit AI Starter $249

For simple business AI implementations — chatbot, FAQ assistant, basic knowledge base, MCP setup.

AI Automation $499

Workflow automation, API/Telegram/email integrations, custom MCP servers.

AI Intelligence $999

RAG, NL2SQL, business analytics, document intelligence.

AI Agents $1,499

Tool-using AI agents and multi-agent systems that plan and act.

Custom AI System Custom

For larger or more complex requirements — scoped on a call.

Directional, not a fixed quote — real scope depends on your data and integrations.

Frequently Asked Questions

What is MCP and why does it matter?

The Model Context Protocol is an open standard for connecting AI applications to tools and data. Build one MCP server for a system and every MCP-compatible client can use it, instead of a separate integration for each AI tool.

Can the AI change data in our systems?

Only if you want it to. Tools are read-only by default; write actions are added explicitly, scoped with least-privilege credentials and can require human approval.

Do you set up existing MCP servers or build new ones?

Both. Many tools such as GitHub, Slack and Google Drive already have MCP servers that just need secure setup; for internal APIs, databases or workflows I build a custom server.

How much does MCP work cost?

Setting up existing MCP servers for your team starts from $299. A custom MCP server for your own APIs, databases or workflows starts from $799. You receive a written estimate before any work begins.

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