MCP servers that earn trust from real reviewers.
Give Claude and other AI assistants the right tools — with the right boundaries, the right audit trail, and the right error surface. Built by engineers who ship them in production.
What is MCP
The Model Context Protocol (MCP) is the open standard for giving AI assistants secure, structured access to tools and data sources. An MCP server is what bridges a Claude (or compatible) assistant to your database, your APIs, your internal services, your knowledge base — without dumping unstructured prompts and hoping for the best.
The protocol is young. The bar for production-grade servers is high. Most public examples are toy projects. We build the production-grade ones.
What we build
- Read-side MCP servers — query your databases, search your knowledge base, fetch from your APIs, with safe scopes
- Write-side MCP servers — create issues, update records, trigger workflows, with idempotency and audit trails
- Tool-orchestration servers — multiple internal services exposed under one well-scoped interface, with permission inheritance
- Hybrid Python + TypeScript implementations — whichever fits your runtime, deployment model, and team
- Self-hosted on your infrastructure — your VPC, your auth, your secrets, your logs
When you’d hire us
- You want a Claude (or compatible) assistant to do something real inside your system, not just chat
- You have internal APIs that need a thin, well-scoped LLM-facing layer
- You have a knowledge base or database that should be searchable from an AI assistant without exposing the raw store
- You need an MCP server that survives a security review — not a toy script
- You want the protocol’s benefits without your team having to track every spec change
How we engage
Same per-milestone model as the rest of our work.
- Discovery (free) — what tools the assistant needs, what scopes are safe, what the failure modes are
- Specifications (1–2 weeks) — every tool, every input shape, every error path, every permission boundary
- Prototype (1–2 weeks) — a working server with the highest-leverage tools wired up, end to end
- MVP / MLP (4–16 weeks) — the full tool set, hardened, instrumented, and operable in your environment
You own the server, the schemas, the auth integration, the runbooks. We document everything we ship.
Why we are credible here
We have built and shipped MCP servers — including clockwork, an open-source Go MCP server for project time-tracking that exposes usage data to AI agents. The chat assistant on this site uses Anthropic’s Claude API directly inside an n8n workflow; MCP is the next layer for assistants that need richer, more structured access to internal systems.
The MCP ecosystem is small. Showing up as a partner who has actually built one is a credential — not a slide.