Custom MCP tools
Typed tools that expose exactly the reads and actions you choose: query a record, book a slot, look up an order, or trigger a workflow.
Service: MCP server development
MCP server development so AI can use your systems.
We build custom Model Context Protocol servers that let AI assistants and agents query and act on your systems through a defined, permissioned, auditable interface, instead of scraping pages or wiring fragile one-off integrations.
What it includes
What an MCP server build includes.
A Model Context Protocol (MCP) server exposes your systems as typed tools that AI can call safely. An MCP build is about controlled surface area: the right reads and actions, scoped and audited.
Scoped access and keys
Per-client API keys scoped to specific tools and data, so each connected assistant gets only what it should.
Guardrails on every call
Rate limits, input validation, and PII masking around tool calls, so an integration cannot be abused at scale.
Grounded in real systems
Tools wired to your actual databases, records, calendars, and documents, so AI works with current data instead of a stale copy.
Audit logging
A record of every tool call: who called it, what they read or changed, and when, for security and accountability.
Standards-based
Built on the open Model Context Protocol and compatible with MCP-capable assistants and agents, not a proprietary lock-in.
How we work
From systems to AI-ready tools.
Step 01
Map tools and data
We decide which reads and actions to expose, the data each touches, and where a human must confirm. Surface area is a security decision, so we keep it deliberate.
Step 02
Build the server
We build the MCP server and its typed tools against your real systems, with validation and scoping on every input.
Step 03
Secure and scope
We add scoped keys, rate limits, PII masking, and confirmation paths for any action that changes data.
Step 04
Connect and audit
We connect MCP-capable assistants and agents, wire audit logging, and hand over a server you own and can extend.
Explore the platform
The systems behind the server.
MCP server development builds on the agent and privacy systems of Tej. Each one has its own page if you want the detail.
FAQ
Common questions.
If something is not covered here, book a call and we will answer it directly.
01What is MCP server development?
MCP server development builds a custom Model Context Protocol (MCP) server: a defined, permissioned interface that lets AI assistants and agents query and act on your systems through typed tools, instead of scraping your website or relying on brittle one-off integrations.
02What is the Model Context Protocol (MCP)?
The Model Context Protocol is an open standard for connecting AI models to external tools and data. An MCP server exposes your systems as tools that any MCP-capable assistant or agent can call through a consistent, auditable interface.
03Why build an MCP server instead of a normal API?
An MCP server is built for AI consumption: tools are typed and described so a model knows how and when to call them, with scoping, rate limits, and audit logs designed for autonomous callers. You can put one in front of existing APIs rather than replacing them.
04Is it safe to expose our systems to AI through MCP?
Safety is the point of doing it properly. Each tool is scoped to specific reads and actions, protected by per-client keys, rate limits, input validation, and PII masking, with human confirmation for sensitive actions and an audit log of every call.
05Can you add an MCP server to our existing systems?
Usually yes. We can build MCP tools as a layer over your existing databases, records, and APIs, so you expose AI-ready access without rebuilding what already works.
06Do we own the server, and what does it cost?
You own the server as a codebase and infrastructure you host and control, with no platform lock-in or per-call software fees. MCP server builds are scoped on a fixed fee, and we give a clear number within 48 hours of a scoping call.