Custom MCP Server Development

• Your systems become first-class, typed tools any MCP-aware AI assistant can discover and call — over the open standard, not a bespoke plugin
• Both ends of the protocol from one team — a custom server AND the client that consumes it — each verified against the official reference SDK
• The server drops straight into Claude Code, Cursor, and Codex with a one-command install — no manual config editing, with a backup and a dry-run preview first
• A self-hosted, provider-agnostic server on your infrastructure — no per-request platform meter, no vendor runtime to depend on, handed over source and tests

How it works

The Model Context Protocol is the open standard the frontier-model vendors converged on for connecting AI assistants to real systems. We build the server that exposes your systems — your APIs, your data, your operations — as typed, governed tools any MCP-aware assistant can discover and call. Not a bespoke plugin locked to one assistant; the open protocol, so the same server works across the AI tools your team already runs.

We build to the protocol the way the people who wrote it intended. The server is a complete runtime: it speaks both transports, implements the full method surface, discovers your tools and resources from attributes you put on your own code, and synthesizes the JSON schemas the protocol requires. We pin it to the current spec revision and prove it on the wire — our server is spawned as a subprocess and driven by the official Microsoft MCP SDK's own reference client, so "standards-compliant" is a passing test, not a promise.

This runs through our D2D Line — FRAME, DESIGN, PLAN, BUILD, VERIFY, SHIP. We pin which of your systems become tools and what "done" means in writing, design the tool surface and get your sign-off, build it test-first, prove it against the reference implementation, and hand it over.

Both ends of the protocol

Most shops that touch MCP build servers only. We build the client too — a full-protocol implementation with a six-state connection machine and a multi-server registry, so your own application can act as an MCP client and consume the tools of any MCP server, local or remote. Both ends, one team, each verified against the reference SDK. Few integrators can say they implemented both sides of the protocol and checked it against the reference implementation; it is the sharpest single proof we have.

What you own at the end

The server, the client where you need one, and the test suite that proves them are yours — source and all. It is self-hosted and provider-agnostic: it runs on your infrastructure, there is no per-request meter, and there is no OPST runtime your tools depend on. You can run it, change it, and extend it with your own team.

FAQ

Do we have to use a specific AI assistant? No. The point of building to the open protocol is that the server is not tied to one assistant — it works with any MCP-aware host, and we can wire it directly into the ones your developers already run.

What about the input schemas for complex objects? Schema synthesis is single-level by design: deeply nested or cyclic object graphs fall back to an open object schema rather than a brittle deep projection. We tell you up front where that boundary sits for your tools so there are no surprises.

How is it priced? Fixed-scope, fixed-fee, with named depth tiers — a single server, a bidirectional server-plus-client, host integration, or a governed gateway across many servers. The scope and tier are pinned in the FRAME phase before any build starts.

• A complete MCP server runtime — dual stdio and Streamable-HTTP transports, the full method surface, attribute-based tool/resource/prompt discovery, and JSON-Schema synthesis — pinned to the current spec revision.
• Wire-format conformance proven against the official Microsoft MCP SDK — our server spawned as a subprocess and exercised by the reference client, end to end.
• A from-scratch, full-protocol MCP client with a six-state connection machine and a multi-server registry — verified against the reference SDK server across dozens of integration cases.