Give your AI access to the tools your team uses
MCP development is building Model Context Protocol servers that give AI assistants safe, typed access to your internal systems. We build and operate them, run by the same pod that ships your product.
30-minute call · no pitch deck · no obligation
Everything this capability ships
Senior-owned, AI-accelerated, and wired into your stack. Not a deck of recommendations.
MCP server development
Custom servers that expose your internal APIs, databases, and knowledge to LLM assistants through typed, auditable tools.
Tool integrations
Every tool is strongly typed, versioned, and testable. Agents get reliable contracts, not screen-scraped guesses.
Context management
Scoped context delivery, retrieval, and caching. The assistant gets what it needs, not the whole database.
Authentication and authorisation
OAuth, service accounts, per-user scopes. Your access controls extend into the assistant automatically.
Multi-client support
Claude Desktop, Cursor, in-house clients, mobile assistants. One server, many consumers, consistent behaviour.
Observability
Every tool call logged with inputs, outputs, timings, and caller identity. Debug with evidence, not guesses.
An MCP layer that made internal tools safe for AI assistants
Vector Labs · Internal tooling
We built Model Context Protocol servers that expose their internal systems to Claude and other assistants, with scoped permissions, context management, and full audit logging, so the whole company can query and act through one safe interface instead of a dozen brittle scripts.
From first call to production
Tool surface design
Audit your internal systems. Decide which capabilities the assistant gets, and which stay off-limits.
Schema and contracts
Define typed tool schemas with clear input and output contracts. Agents call tools against a real interface, not prose.
Server build
Implement, test, and benchmark. Every tool has fixtures, every server has a load profile.
Security review
Threat model, auth flows, rate limits, audit logs. Ship with the pieces security teams want before they ask.
Deploy and integrate
Host in your cloud, wire up Claude or your assistant of choice, validate with real traffic.
What it actually solves
Internal knowledge access
Let assistants answer from your docs, wiki, tickets, and runbooks without shipping your knowledge to third parties.
CRM and operations
Expose customer data, pipeline actions, and ops tooling as typed MCP tools your team already trusts.
Developer tooling
Code search, deploy triggers, incident commands. Engineering assistants wired into your real environment.
Data analysis
Natural language queries against your warehouse and dashboards with scoped access and traceable queries.
Tools we reach for
Protocols
- MCP
- OpenAPI
- JSON-RPC
- OAuth 2.0
- OIDC
Runtimes
- TypeScript
- Python
- Go
- Node
- Bun
Hosting
- Cloudflare Workers
- AWS Lambda
- Fly.io
- Railway
- Fargate
Clients
- Claude Desktop
- Cursor
- Raycast
- Custom web clients
Questions, answered
An open standard for giving AI assistants typed, safe access to tools and data. Think of it as the API layer for AI.
It started with Claude but the ecosystem is broadening. We also build compatible OpenAPI and function-calling surfaces for other assistants.
Scoped tools, per-user auth, redaction at the server edge, and retrieval patterns that surface only what the task needs.
Yes. Many first-gen integrations work but are hard to maintain. MCP gives you typed contracts, versioning, and auth in one place.
Same pod that built it. MCP servers are long-lived infrastructure and need engineers who understand both your business and the protocol.
Let’s build it together.
One senior team, one flat monthly subscription, no lock-in. Book a call and we’ll map the fastest path to shipped.