MCP development
Give AI agents access to your systems — without giving them the keys.
Custom Model Context Protocol servers so Claude, Cursor, and internal agents can reach CRM, EHR, ERP, and proprietary APIs under authentication, least privilege, and an audit trail — not a paste into ChatGPT.
MCP development: governed context for agents that need real systems
Model Context Protocol (MCP) is an open protocol that standardizes how AI applications connect to tools, data sources, and prompts. An MCP server exposes those capabilities so clients can call tools, read resources, and use prompts over a consistent interface — instead of a one-off plugin for every system. Maxiom builds production MCP servers for organizations that cannot use off-the-shelf connectors: proprietary APIs, HIPAA/PHI boundaries, federal data classification, and legacy systems that must stay in place. This is agent infrastructure, not a config bus and not a Copilot code review.
- 2002
- Founded
- $100M+
- Delivered
- 98%
- Satisfaction
The problem
Shadow AI is already happening
People paste CRM notes, tickets, and documents into ChatGPT because the approved agent cannot see internal systems. That is a data-loss event waiting on a screenshot.
Off-the-shelf MCP servers stop at the boundary
Public connectors cover GitHub, Slack, and generic APIs. They do not cover your proprietary services, EHR, or the authorization model your security team will actually sign off on.
Security is blocking the agent rollout
Leadership wants Claude or Cursor on internal data. InfoSec will not allow unbounded tool access. You need least privilege, audit trails, and a threat model — not another demo.
The data that matters is still in legacy systems
Agents cannot help until they can query the system of record. Rewriting that system first is years of delay. A governed MCP wrap can expose what the agent needs without a big-bang migration.
What we build
Production MCP servers, not weekend protocol experiments.
Senior engineers design the context layer your agents will actually be allowed to use — tools, resources, and prompts with authentication, authorization, and evidence for the next security review.
Custom MCP servers
Tools, resources, and prompts tailored to your APIs and workflows — not a generic filesystem server pointed at production.
Auth, RBAC, and audit
Identity, least-privilege tool scopes, and immutable logs for every agent invocation so security questionnaires have code-level answers.
PHI-aware connectors
EHR, clinical, and healthcare APIs with minimum-necessary access. Healthcare programs pair with Maxiom Labs.
Legacy system wraps
MCP in front of mainframe, .NET Framework, on-prem, or undocumented interfaces so agents can query without a rewrite.
CRM and ERP context
Governed access to Salesforce, HubSpot, SAP, NetSuite, and internal equivalents — with field-level constraints, not dump-the-database tools.
Client and transport design
stdio, HTTP, and remote transports fitted to Claude, Cursor, and custom agents, plus failure modes when a tool must not run.
Is this right for you?
The security-blocked AI team
You have executive air cover for agents. InfoSec will not approve ChatGPT-on-production-data. You need a context layer they can review: scoped tools, identity, and an audit trail.
The health-tech product
Clinicians or ops want an agent on EHR or care-management data. PHI cannot leave the boundary. You need MCP with minimum-necessary access and BAA-aware engineering — see Maxiom Labs.
The legacy system of record
The answers live in a system nobody wants to touch. You need agents to query it safely now, not after a three-year rewrite. An MCP wrap is the governed interface.
How an MCP development engagement works
- NDA signed before access
- Senior engineers every time
- Least-privilege tool access
- Audit trails designed in
Frequently asked questions
What is MCP development?
MCP development is the design and implementation of Model Context Protocol servers and related agent tooling so AI clients can access internal systems under authentication, authorization, and audit. Maxiom builds custom servers when official or community MCP servers cannot cover proprietary APIs, PHI, or legacy interfaces.
What is the Model Context Protocol?
MCP is an open protocol — originally published by Anthropic — for exposing tools, resources, and prompts to AI applications. Clients such as Claude, Cursor, and custom agents connect to MCP servers instead of embedding a unique integration for every CRM, EHR, or internal API.
When do we need custom MCP servers instead of off-the-shelf ones?
Use off-the-shelf servers when the system is public, the data is not sensitive, and the vendor already ships a maintained connector. Build custom when you have proprietary APIs, BAAs and PHI, federal classification, undocumented legacy interfaces, or security requirements that block generic tool access.
How is MCP development different from AI development?
AI development covers models, products, and workflows. MCP development is the context layer those agents use: which tools they can invoke, which data they can read, and how every call is authenticated and logged. Many programs need both.
How is this different from an AI code audit?
An AI code audit reviews code that Copilot, Cursor, or similar tools wrote into your repository. MCP development builds the servers and tool interfaces agents use at runtime. If agents will also generate product code, pair MCP work with an AI Code Audit or ongoing oversight.
Can you build HIPAA-compliant MCP servers for EHR or clinical data?
Yes, when scoped that way — minimum-necessary tool access, encryption, audit logging, and BAA-aware boundaries. Healthcare MCP work pairs with HIPAA Software Development and Maxiom Labs (https://www.maxiomlabs.com/) for the dedicated HealthTech practice.
Can MCP wrap a legacy system without a rewrite?
Often yes. A well-designed MCP server can sit in front of mainframe, .NET Framework, on-prem, or undocumented APIs so agents query through a governed interface. Broader platform migration still lives under Legacy Modernization when the runtime itself must change.
Will Maxiom send our data or source through third-party AI tools?
No. Client systems stay in client environments. We do not process proprietary source or PHI through third-party AI as part of delivery. Tool access is least-privilege and scoped in writing after NDA.
What does an MCP engagement typically deliver?
Scoped servers (tools, resources, prompts), authentication and authorization, audit logging, tests, operational runbooks, and a handoff so your team can operate and extend the context layer. Threat modeling happens before build, not after the first agent demo.
How do MCP development engagements start?
With a scoping call covering agent clients, target systems, data classification, and the security review that is blocking rollout. Written scope and NDA precede environment access.
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