01
Tool schemas the model calls correctly
Tool naming, argument design, and error messages are an interface design problem. We get them right so models call your tools without coaxing or retry loops.
First-call success rate above 95 percent.
Service AI Engineering
MCP servers that turn your tools into AI capabilities.
Build a Model Context Protocol server once and every MCP-compatible client (Claude Desktop, Cursor, Claude Code, and dozens more) can use your tools. We have shipped 30+ MCP servers in production.
Projects are scope-dependent. Free discovery call.
github.com/your-org/mcp-server
server.ts ts
// server.ts
import { Server } from '@modelcontextprotocol/sdk/server';
import { StdioServerTransport } from '@modelcontextprotocol/sdk/server/stdio';
import { tools } from './tools';
const server = new Server(
{ name: 'company-ops', version: '1.0.0' },
{ capabilities: { tools: {}, resources: {} } }
);
server.setRequestHandler(ListToolsRequestSchema, async () => ({
tools: tools.map((t) => t.schema),
}));
await server.connect(new StdioServerTransport());
Why MCP
Stop building one-off integrations for every AI client.
Before MCP, exposing your product to AI meant building a custom plugin for every client and rebuilding it every time the client changed. MCP is the standard that ended that. Build the server once, every compatible client uses it. The integration cost stops being linear in the number of AI tools your customers use.
What we build
MCP servers your engineering team can actually maintain.
Clean tool schemas. Documented auth. Real client testing. Distribution that works. We treat the server as a product surface, not a wrapper.
02
STDIO and HTTP transports both supported
Local STDIO for desktop Claude. Streamable HTTP for hosted deployments. We pick the right transport for your security model and ship both when you need both.
Same server runs in Claude Desktop and on production infra.
03
Auth that respects your existing IDP
OAuth, SSO, scoped service tokens, per-user audit trails. The MCP server inherits your existing auth, never bypasses it. Your security team reviews it like any service.
Passes enterprise procurement without exception.
04
Resource subscriptions for live data
Where the workflow needs it, we wire MCP resource subscriptions so Claude sees data updates without re-querying. Real time without polling.
Latency drops from 800ms polls to sub-100ms push.
05
Tested with real Claude clients
Every server we ship is tested with Claude Desktop, Claude Code, and the MCP Inspector. Real interactions, not mocked transports.
No "works in tests, fails in client" surprises.
06
Distribution + onboarding handled
NPM package, Docker image, Smithery listing, install one-liner, runbook. Your users install the server in 30 seconds, not 30 minutes.
Adoption rate above 70 percent of target users.
30+
MCP servers running in production across our team and customer infrastructure
From WordPress operations to malware scanners to documentation pipelines.
The tool layer
Tool schemas designed for the model, not for the developer.
Tool names, argument shapes, and descriptions matter more than the implementation. We design them so the model calls them right the first time, not the third.
tools/list-tickets.ts ts
// tools/list-tickets.ts
import { z } from 'zod';
import { tool } from '../helpers';
export const listTickets = tool({
name: 'list_tickets',
description: 'List support tickets matching the given filter. Use this when the user asks about tickets in a status, assigned to a person, or filed in a date range.',
inputSchema: z.object({
status: z.enum(['open', 'pending', 'closed']).optional(),
assignee: z.string().email().optional(),
since: z.string().datetime().optional(),
limit: z.number().min(1).max(100).default(25),
}),
handler: async (args, ctx) => {
const tickets = await ctx.zoho.searchTickets(args);
return { content: [{ type: 'text', text: formatTickets(tickets) }] };
},
});
Process
How an MCP server project runs.
01
Discovery
Two weeks. We audit the API surface, identify the workflows the server should support, design the tool schemas, and pick the transport. You approve the schemas before any code.
Fixed scope, fixed price.
02
Build
Two to four weeks. Tools, auth, resources, transport, distribution. Tested with Claude Desktop and MCP Inspector on every commit. Beta package by week three.
Real client testing from day one.
03
Launch + onboard
One to two weeks. Public release, install runbook, user docs, telemetry. We hand the server off with the same care as a public API.
Your team owns the server at week eight.
Common questions
Frequently asked
-
What is MCP and why should we care?
Model Context Protocol is the standard for connecting AI clients (Claude Desktop, Cursor, Claude Code, etc.) to tools and data. If you build an MCP server for your product, every MCP-compatible AI client can use it. One integration, every client.
-
How long does an MCP server take?
Four to eight weeks for a server with 10 to 20 tools and resource support. Two weeks discovery and tool design, two to four weeks build, one to two weeks testing with real clients and distribution setup. Faster if your APIs already exist.
-
Should the server be hosted or local?
Depends on the data. Local STDIO when the data lives on the user machine or behind a firewall. Hosted streamable HTTP when the data is centralized and the user authenticates remotely. We typically ship both for the same server.
-
How do you handle authentication?
OAuth flows for hosted servers, service tokens for STDIO, full per-user audit logging in both cases. The server never bypasses your existing IDP. Your security team reviews it like any service that touches customer data.
-
Can you migrate an existing internal tool to MCP?
Yes. We have wrapped REST APIs, GraphQL endpoints, internal CLIs, and database query layers as MCP servers. Existing auth and rate limits flow through. Your engineering team keeps the underlying service unchanged.
-
What does it cost?
MCP server projects are scope-dependent for a focused server with 5 to 10 tools. Larger servers with resource subscriptions, multi-tenant auth, and managed hosting are scoped after discovery. Discovery call is free.
Ready to expose your tools to AI?
Tell us what you want to build.
Discovery call is free. Fixed-price quote within 48 hours. NDA on request.