Practice area
Production MCP Servers & Agentic Workflows
We expose your product, catalog or pricing engine directly to AI agents (Claude Desktop, Cursor, OpenAI) through custom remote MCP servers, /llms.txt and high-concurrency Rust and Python APIs.
Technical buyers increasingly evaluate vendors through an AI assistant before they ever open a browser. If your catalog, pricing and availability are not queryable by an agent, you are invisible in that conversation. We build the remote MCP endpoints, machine-readable docs and backends that put your product in it, and the agentic workflows that act on the results.
What that includes
- Remote MCP servers
- Streamable HTTP MCP endpoints at /mcp with typed tools over your product data, deployed at the edge or beside your API.
- Agent-readable surfaces
- /llms.txt, structured data and documentation written for retrieval, so agents quote you accurately.
- High-concurrency backends
- Rust/Axum and Python services built for agent traffic patterns: bursty, parallel and latency sensitive.
- Agentic workflows
- Multi-step automations with scoped credentials, approval gates, audit logs and a working kill switch.
What you end up with
- Your product answerable from Claude Desktop, Cursor and other MCP clients.
- Agent traffic that turns into booked reviews and quotes.
- Every automated action logged and attributable.
Capabilities in this practice
- Production AI Systems Applied AI taken all the way to production: retrieval over your data, model integration behind a provider-agnostic interface, and the evaluation that proves it works.
- Agentic Workflows Multi-step automation that reads your systems, makes a decision and takes action, with approvals, audit trails and a stop button.
Selected work
Case study: RentServers.com
Shipped from zero to a production clearinghouse in under 14 days, normalizing multi-vendor bare-metal and GPU quotes with server-rendered pages delivered in under 40 ms and native MCP agent discovery.
Read the case study