MCP Server Development
Expose your systems to AI safely with the open MCP standard.
The Model Context Protocol (MCP) is the emerging open standard — introduced by Anthropic — for connecting AI models to tools, data and systems. An MCP server exposes your resources (databases, APIs, files, actions) in a standard way so any MCP-compatible AI, like Claude, can use them securely. Build it once, and every agent can use it.
We design and build production MCP servers: well-typed tools and resources, authentication and scoped permissions, rate limiting, logging and tests. Whether you're wrapping an internal API, a database, or a third-party service, we make your capabilities available to AI agents without exposing more than you intend.
₹2,75,000
one-time · 3–6 weeks
₹28,000/mo
hosting, monitoring & tuning
Why teams choose this
Build once, use everywhere
One MCP server works across Claude and any MCP-compatible agent or client.
Secure by design
Authentication, scoped permissions and rate limits keep your systems protected.
Standardized & future-proof
Adopt the open protocol the ecosystem is standardizing on, avoiding lock-in.
Production-grade
Typed tools, logging, tests and observability so it's reliable, not just a prototype.
Our proven process
Capability mapping
We define which resources and tools to expose and the permission boundaries.
Design the interface
We model clean, typed MCP tools and resources with clear schemas and docs.
Build & secure
We implement the server with auth, scoping, rate limits, logging and tests.
Deploy & maintain
We ship it locally or as a remote hosted server and support versioned updates.
Modern, best-in-class stack
MCP Servers services near you
Common questions
An MCP server is a standardized adapter that exposes your data and tools to AI models through the Model Context Protocol. Instead of building a custom integration for each agent, you build one MCP server that any MCP-compatible AI can use.
MCP standardizes how AI models discover and call tools, so your capabilities become reusable across every agent and client. It reduces bespoke glue code and future-proofs your integrations as the ecosystem adopts the protocol.
Yes, when built correctly. We add authentication, scoped permissions, rate limiting and audit logging so agents can only perform the specific actions you allow.
We build both local and remote (hosted) MCP servers and can deploy them to your cloud or edge platforms like Cloudflare Workers, with monitoring and versioning.
Explore what pairs well
Let's build what's next.
A free 30-minute consult. We'll map your highest-ROI AI use case and show you exactly how we'd ship it.