OrchestriAI

From $3,500/project

Custom MCP Server Development

Give your AI tools direct access to your business systems.

I build Model Context Protocol servers that connect AI assistants directly to your business software. Your CRM, your EHR, your accounting platform. Instead of copy-pasting between windows, your AI reads and writes to the tools you already use.

Discuss your workflowSee the full flow

Example system map

Example: CRM-connected AI assistant for a real estate team

Isolated deployment with explicit ownership and handoff

Inputs and systems

Salesforce

HubSpot

Follow Up Boss

Implementation path

Agent asks AI

'Show me all leads from Zillow this week that haven't been contacted.'

MCP server queries Follow Up Boss

API, filters by source and last contact date.

AI returns a formatted list with

phone numbers, property interests, and time since inquiry.

Data moves from each listed layer to the layer below it.

Connected systems

10

Example stages

6

Delivery model

Client-owned or managed

vertex-ai-mcp-server80+

Optional managed server

Managed MCP server hosting

I can operate a remote MCP server on isolated infrastructure when you want a stable endpoint without maintaining the runtime yourself. Hosting covers the server and agreed operational controls; the connected business systems and AI host remain separate dependencies.

Isolated MCP runtime with TLS, authentication, and least-privilege credentials
Health checks, structured logs, failure alerts, backups, and controlled releases
Dependency, protocol, and upstream API update review for the supported tool set
Credential rotation, configuration export, and an offboarding or migration runbook

Managed server pricing

Quoted monthly

Model-provider and upstream API charges are separate. Hosting does not make an MCP deployment automatically secure or compliant; contractual controls depend on the data and systems involved.

What gets built, and when it makes sense

01

Why MCP matters for your business

Right now, when your team uses AI tools, they copy-paste context in and manually transfer answers out. MCP eliminates that friction. Your AI assistant can look up a patient's insurance status, check a lead's history in your CRM, or pull last quarter's numbers from QuickBooks, all within the same conversation. No tab switching. No copy-paste errors. No manually reformatting data between systems.

02

What makes this rare

MCP work spans more than tool schemas. A production server also needs authentication, authorization, input validation, safe error handling, timeouts, observability, and careful control over what reaches model context. My public MCP projects provide inspectable proof of that implementation experience.

Example: CRM-connected AI assistant for a real estate team

End-to-end walkthrough

  1. 01
    01

    Agent asks AI

    'Show me all leads from Zillow this week that haven't been contacted.'

  2. 02
    02

    MCP server queries Follow Up Boss

    API, filters by source and last contact date.

  3. 03
    03

    AI returns a formatted list with

    phone numbers, property interests, and time since inquiry.

  4. 04
    04

    Agent says

    'Draft a follow-up text for the first three.' AI writes personalized messages using actual lead data.

  5. 05
    05

    Agent approves

    MCP server sends the texts through the CRM's messaging integration.

  6. 06
    06

    All interactions logged back to the

    CRM automatically. No manual data entry.

Integrations

SalesforceHubSpotFollow Up BossAthenahealthQuickBooksXeroClioDentrixEpic (read-only)eClinicalWorks

Industries

See how this works for healthcare & dentalSee how this works for real estateSee how this works for financial services

Explore related work

See where this service fits, how it has been applied, and the technical work behind it.

Ongoing maintenance available at $500/month

Every project starts with a free call. If automation isn't the right fit, I'll tell you.

Book a Free Call