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MCP Server Development

Custom Model Context Protocol servers that connect your tools, data, and APIs to any AI: Claude, GPT, Gemini, or your own.

Price (USD)
$2.5K-$15K
Price (INR)
₹2L-₹12L
Timeline
1-3 weeks per server
Tier
Any
studiobuildit · mcp-server-development.ts
$ sbi mcp scaffold --name crm-tools --transport http
· spec: 6 tools, 3 resources, 2 prompts
generated typed handlers (@modelcontextprotocol/sdk)
auth: bearer + OAuth bridge to salesforce
rate limits + request log + replay harness
deployed to cloudflare workers · 14ms p50
usable from claude, gpt-5, gemini, cursor, same surface

A custom MCP server is the standard way to let any AI talk to any tool without bespoke glue code per model. If you are building production AI agents in 2026, you need MCP servers for the systems they touch. Without them, every model swap means rewriting your tool definitions.

Who this is for

Engineering teams building AI products who need clean tool boundaries. Companies with proprietary data they want models to access without sending it into a vendor’s training pipeline. Engineering leaders who are tired of rewriting tool definitions every time they switch models.

What you get

  • A fully typed MCP server with resources, tools, and prompts covering your system’s surface.
  • Auth, rate limiting, and request logging built in from day one.
  • Deployment to Cloudflare Workers or your own infrastructure.
  • A test harness with both mocked and live integration tests.
  • An npm or PyPI package if you plan to open-source the server.

How we work on this

On day one, we define the resource and tool surface together. From days 2 to 10 we build, test, and deploy. From day 11 onward, your team uses it in production.

Tech stack

Official @modelcontextprotocol/sdk in TypeScript or Python. Cloudflare Workers for edge deployment, or your container runtime if you prefer.

When this is the wrong choice

If your tool only needs to be called by one model in one application, a direct API integration is simpler and has less overhead. A dedicated MCP server pays for itself when you have multiple agents or models that need to share the same tool surface.

Pricing

$2,500 to $5,000 per simple server covering one system with approximately 5 tools. $5,000 to $10,000 for complex servers with auth and state management. $10,000 to $15,000 for production-critical servers with defined SLAs.

FAQ

What does an MCP server give you over a custom integration? A single MCP server can be consumed by Claude, GPT, Gemini, or any MCP-compatible agent without modification. You write the tool definitions once and they work across every model you adopt.

How do you handle versioning? We version the server’s tool and resource surface using semantic versioning. Breaking changes ship on a new major version so older agents continue to work.

Does the server support multiple tenants? Yes. We build tenant-scoped auth into the server when your product requires it.

What does hosting cost? On Cloudflare Workers, the free tier handles millions of requests per month. Compute costs are typically negligible unless you have very high call volume.

Who handles maintenance after handover? We provide a 30-day warranty. After that, your engineering team maintains the server, or we offer a monthly retainer for ongoing updates and monitoring.

Ready to build mcp server development?

Book a 30-minute call. We'll scope the build and quote on the same call.