MCP server development services
Our MCP server development services connect the AI assistants your team already uses to the systems where your data lives. The Model Context Protocol is an open standard, introduced by Anthropic in November 2024, that lets an AI application call tools and read data through a common interface. We build the server side: a custom MCP server that exposes your CRM, ERP, ticketing, databases, and internal APIs to Claude, ChatGPT, Copilot, or your own agents. Access is read-only by default, scoped to each user's permissions, and logged, so the assistant can answer real questions about your business without becoming a new security hole.
Where a custom MCP server pays off
Sales teams asking the CRM in plain English
Reps ask Claude for open deals, last contact dates, or account history and get answers pulled live from the CRM, without building a report first.
Operations checking ERP inventory and orders
Ops staff look up stock levels, open purchase orders, and shipment status from inside their AI assistant instead of clicking through ERP screens.
Support teams pulling ticket history
Agents ask for a customer's past tickets, related incidents, and account notes in one request, so the reply starts with full context.
Analysts with read-only SQL access
A scoped MCP server lets analysts query approved tables and views through an assistant, with no write access and no path to sensitive columns.
Wrapping a legacy internal API
An older internal service with no modern front end becomes usable from Claude, VS Code, or Cursor through a thin, well-documented set of MCP tools.
Built like an MCP server for enterprise use
Tools, resources, and prompts
We design the server's tools, resources, and prompt templates around the questions your team asks most, with clear names and descriptions so the model picks the right one.
Least-privilege permissions
Each tool gets only the access it needs. Reads are the default, and every write capability is a deliberate, documented decision.
OAuth and single sign-on
Remote servers use OAuth-based authorization tied to your identity provider, so the assistant acts as the signed-in user and sees only what that person can see.
Human approval for write actions
Creating records, updating fields, or sending anything out requires a person to confirm first. Nothing changes in your systems on the model's say-so alone.
Audit logging
Every tool call is recorded with who made it, what was requested, and what came back, so security and compliance teams can review usage at any time.
Prompt-injection defenses
Data returned from documents, emails, or tickets is treated as untrusted. We limit what tools can be chained and validate inputs so hidden instructions can't trigger actions.
Rate limiting and input validation
Per-user and per-tool limits protect your CRM, ERP, and databases from runaway agent loops or oversized queries.
Deployment in your cloud with monitoring
Local stdio servers for developer tools or remote Streamable HTTP servers in your own cloud account, with health checks, error alerts, and usage dashboards.
How we run this engagement
Discovery
Identify the systems, user groups, and questions worth exposing, and agree on what stays off limits.
Design
Define each tool and resource, the permission model, approval rules, and how the server authenticates against your identity provider.
Build
Develop the server with the official MCP SDK, connect it to your systems, and test it against real prompts from the clients your team uses.
Launch & monitor
Roll out to a pilot group, review the audit logs, tighten tool descriptions and limits, then expand access.
Built on a proven, modern stack
MCP TypeScript SDK
The official TypeScript SDK for building MCP servers, suited to Node.js services and existing JavaScript codebases.
MCP Python SDK
The official Python SDK, a good fit when the server sits next to data pipelines or Python-based internal tools.
OAuth 2.1 with your identity provider
Handles sign-in and token-based authorization through the provider you already run, such as Okta or Microsoft Entra ID.
PostgreSQL
Stores audit logs and server state, and is a common data source we expose through read-only tools.
Docker
Packages the server so it runs the same way on a laptop, in staging, and in production.
AWS or your cloud
Hosts remote MCP servers inside your own account and network boundary, next to the systems they connect to.
Logging and monitoring
Centralized logs, metrics, and alerts for tool calls, errors, and latency, wired into the stack your team already watches.
MCP server development services FAQ
Can't find what you're looking for? Reach out and we'll answer directly.
An MCP server is a small service that exposes tools, resources, and prompts over the Model Context Protocol. AI hosts such as Claude Desktop, Claude Code, VS Code, and Cursor connect to it as clients, so the assistant can look up data or run approved actions in your systems through one standard interface.