Custom MCP servers for businesses
Custom MCP servers for businesses that need AI to work on real systems.
One well-built MCP server gives Claude, ChatGPT, Cursor, and your own agents the same governed access to your data and actions. We design it around your workflows, secure it like any other production API, and run it.
What you get
- MCP server architecture mapped to your systems, users, and permission model
- Tools, resources, and prompts with strict schemas and read or write annotations
- Remote deployment over Streamable HTTP, or local stdio for desktop use
- OAuth 2.1 authorization with scopes, plus tenant isolation where you need it
- Automated tests for tool selection, permissions, limits, and failure cases
- Hosting, observability, and a support plan, or a clean handover to your team
What is an MCP server, in business terms?
MCP, the Model Context Protocol, is an open standard Anthropic introduced in November 2024 for connecting AI applications to tools and data. An MCP server sits in front of one or more of your systems and publishes what an AI may do there as named tools, readable resources, and reusable prompts.
For a business, the server is the control point. It decides which records an AI can read, which actions it can take, how much it can pull at once, and who it is acting for. Every AI client that speaks MCP, including Claude and ChatGPT, then uses the same rules.
A custom MCP server is one built for your systems and workflows rather than a generic wrapper. It encodes your business logic, such as which source wins when two systems disagree, so the AI does not have to guess.
Where it pays off
One governed layer for many AI tools
Expose your CRM, ERP, and document stores once, and let Claude, ChatGPT, and internal agents share the same access rules and audit log.
Reconciling data across systems
When two systems disagree on a number, the server can show both values with their sources, or apply your rule for which one wins, instead of leaving it to the model.
Customer-facing AI features
Give your own product an MCP endpoint so customers can connect it to their Claude or ChatGPT accounts, with per-customer isolation.
Agent workflows that take action
Let an agent create a ticket, update a record, or start a job with explicit confirmation, idempotency, and a full record of what it did.
How we build it
Architecture
We map systems, users, permissions, and the questions and actions in scope, then choose remote or local transport, auth model, and hosting.
Tool design
We design the smallest tool set that answers the workload, and test that a model picks the right tool for each real question.
Hardening
Server-side authorization on every call, input validation, result and time limits, rate limits, and logs that never capture secrets.
Operate
Deployment, monitoring, protocol upgrades, and new tools as your needs grow, with tests that guard every change.
Ways to give AI access to your systems
Teams usually try exports and one-off API scripts first. An MCP server is what replaces them once more than one person or tool depends on the access.
| Criterion | File uploads and exports | One-off API integration | Custom MCP server |
|---|---|---|---|
| Data freshness | Stale as soon as exported | Live | Live |
| Works across AI clients | Manual per tool | One app only | Any MCP client |
| Per-user permissions | None | Custom work | Built in |
| Audit of what the AI accessed | None | Custom work | Every tool call logged |
| Effort to add the next use case | Repeat by hand | New integration | Add a tool |
MCP servers we have built
Built and tested by Prestyj. Client names withheld.
Portfolio data connector for an investment firm
Yardi via Power BI · Monday.com · SharePoint
A remote, read-only MCP server that answers portfolio questions from evidence-backed records across three source systems.
- Streamable HTTP endpoint with OAuth protected-resource metadata and a delegated, API-scoped token per user
- Denied data is reported as withheld, never guessed or filled from another source
- Conflicting sources are shown side by side with their evidence instead of being averaged
- Server instructions kept under the 2,048 character limit Claude Code applies, enforced by a test
Connect-once business memory over MCP
Monday.com · Yardi · SharePoint · Postgres
Syncs a company's apps into typed facts in Postgres once, then hands them to any AI client over MCP.
- Six tools: schema, brief, read-only SQL with a five second cap, document search, open conflicts, and resolve conflict
- When sources disagree, a person answers once and the answer becomes a rule
- Works in Claude Desktop, Claude Code, and any other MCP host
Governed context server for a research platform
Versioned context API · Webhooks
A stdio MCP server with 24 workflow-specific tools that never sees a database URL or tenant ID.
- The API key resolves the tenant; caller-supplied tenant or access fields are rejected before execution
- Every tool enforces a scope plus result, time, output-token, and cost ceilings
- Read-only by default; writes need a separate switch, explicit confirmation, and an idempotency key
- A tool-selection benchmark checks that the model picks the right tool for each question
Multi-tenant MCP for isolated customer deployments
Per-customer deployment · Per-customer database
One codebase deployed separately for each customer, with an MCP endpoint whose tool catalog comes from that customer's configuration.
- OAuth token introspection with a dedicated read scope
- Per-token rate limits and bounded request sizes
- No customer data or secrets in the shared code or deployment packs
Questions we get
Read more
Guides
- MCP server security checklist for businessesA practical security checklist for businesses deploying a custom MCP server for Claude or ChatGPT: authentication, server-side authorization, tool design, limits, logging, and testing.
- Build vs buy: should your business build its own MCP server?How to decide between building a custom MCP server in-house, using a no-code MCP bridge, or hiring a done-for-you build, with the real costs that show up after launch.
- How much does a custom MCP server cost? The drivers that decide the priceWhat actually drives the cost of a custom MCP server for a business: the number of systems, the auth model, write actions, hosting, and maintenance, plus how usage-priced bridges are billed.
- MCP vs API vs Zapier: when does a business need an MCP server?A plain comparison of an MCP server, a direct API integration, and Zapier for business AI use, with clear signs for when each one is the right tool.
- Zapier MCP vs Composio vs a custom MCP server: a fair comparisonHow Zapier MCP, Composio, and a custom-built MCP server compare for businesses connecting Claude or ChatGPT to their apps: coverage, auth, controls, pricing model, and fit.
- Remote vs local MCP servers, and where a business should host oneThe difference between local and remote MCP servers, which Claude and ChatGPT surfaces support each, and the hosting options for a business, from public HTTPS to private networks and tunnels.
- OAuth for MCP servers, explained for business ownersWhat OAuth means for an MCP server behind Claude or ChatGPT, why per-user access matters, and why one shared API key is the risky shortcut, in plain language for business owners.
- Read-only first: designing safe write actions and approvals in an AI connectorHow to add write actions to a Claude connector or ChatGPT plugin safely: start read-only, annotate tools honestly, require confirmation, prevent duplicate writes, and keep checks in the server.
Related services
- Custom Claude connectorsThe Claude directory covers the popular SaaS apps. Your ERP, your database, your internal API, and the spreadsheet that runs operations usually have no connector at all. We build one, host it, and roll it out to your Claude Team or Enterprise workspace.
- Custom ChatGPT pluginsOpenAI now lets companies add their own plugins to ChatGPT, built on MCP. We build the plugin for your internal systems, set it up for your workspace admins, and make sure each person only reaches what they already can.
- Done-for-you Claude connectorsMost teams do not want an MCP project. They want Claude to know their customers, orders, files, and numbers by next month. We take the whole job: scoping, build, hosting, security, rollout, and upkeep.
Connectors by system
Tell us what Claude or ChatGPT should know.
Bring the questions your team asks and the systems that hold the answers. We will come back with a written scope, a timeline, and a fixed price.