What are MCP Servers?
The Model Context Protocol (MCP) is an open standard that lets AI assistants connect to external data sources and tools. An MCP server is a bridge between AI and your business systems.
The problem
AI assistants like Claude, Cursor, and Copilot are powerful — but out of the box, they can only work with what you paste into them. They can't access your CRM data, read your SharePoint documents, check your HubSpot pipeline, or send emails through Outlook on their own. Every time you need AI to work with your business data, you're copying, pasting, and manually bridging the gap.
The solution: MCP
MCP servers give AI assistants a structured, secure way to read from and write to your existing systems. Instead of pasting data into prompts, the AI can directly: Query your Dataverse tables for customer records Search your SharePoint document libraries Look up deals in your HubSpot pipeline Draft and send emails through Outlook Create tasks, update records, trigger workflows All of this happens through the MCP protocol — a standardized interface that any compatible AI client can use.
Think of an MCP server as a translator — it understands what the AI needs, talks to your business system's API, and returns the result in a format the AI can use.
Connect any system your team uses
MCP servers can integrate with virtually any system that has an API. We build custom servers that bridge AI to the specific platforms your organization relies on.
Dataverse / Dynamics 365
Query tables, create and update records, execute custom actions, manage solutions, and work with entity metadata — all through natural language prompts to your AI assistant.
SharePoint and OneDrive
Search documents, read file contents, upload files, manage folders, and navigate site structures. Perfect for document-heavy workflows that need AI understanding.
Microsoft Outlook
Read incoming emails, draft replies, manage calendar events, search across mailboxes, and process attachments — making your AI assistant an email-aware collaborator.
HubSpot CRM
Access contacts, companies, deals, and tickets. Search your pipeline, update deal stages, log activities, and pull reports — bridging sales data with AI insights.
Microsoft Teams
Send messages to channels, read conversation history, manage team memberships, and integrate with Teams workflows for AI-powered collaboration.
Custom APIs and databases
Any system with a REST API, GraphQL endpoint, or database connection can be exposed through MCP. We build connectors for your proprietary and line-of-business systems.
More than a passthrough
Off-the-shelf API connectors give AI raw access to endpoints. But your team doesn't think in endpoints — they think in processes: "onboard this client", "process this invoice", "prepare the monthly report". Custom MCP servers encode your business rules directly into the tools the AI can use. Instead of exposing a generic "create record" tool, you expose a "create qualified lead" tool that validates required fields, applies your scoring logic, assigns the correct owner, and triggers follow-up tasks — all in one step. This means the AI doesn't need to know your internal processes — the MCP server handles that. Users just describe what they want in natural language, and the server ensures it happens correctly.
What custom logic looks like
Data validation — ensure records meet your business rules before creation. Multi-step workflows — one tool call triggers a sequence of operations across systems. Permission scoping — limit what AI can access based on user role or department. Data enrichment — automatically fill in related data from other systems. Smart defaults — pre-populate fields based on your business context Aggregation — combine data from multiple sources into a single, coherent response. Guardrails — prevent destructive operations (like deleting production data) at the server level.
Custom logic aligned with your business
An MCP server isn't just a raw API connector — it adds a layer of business logic, validation, and workflow intelligence that makes AI useful for your specific processes.
Real-world
examples
Automated invoice processing
A user drops invoice files into a folder. The MCP server monitors for new files, extracts text content, calls an AI processing pipeline to parse vendor, amount, line items, and tax details, then creates the corresponding records in Dataverse and uploads the original document to SharePoint — all without the user opening a single application. Dataverse • SharePoint • Document AI
Intelligent Lead qualification
A sales rep says: "Qualify the new leads from this week." The MCP server fetches unqualified leads from Dataverse, checks each one against your scoring criteria (company size, industry, engagement signals from HubSpot), assigns a lead score, updates the lead status, and notifies the assigned sales rep via Teams — transforming a multi-step manual process into a single prompt. Dataverse • HubSpot • Teams
Cross-system customer 360
An account manager asks the AI: "Give me a full picture of Contoso Ltd." The MCP server simultaneously queries Dataverse for account details and open opportunities, HubSpot for marketing engagement history, SharePoint for any signed contracts, and Outlook for recent email threads — then presents a unified summary. Dataverse • HubSpot • SharePoint • Outlook
Automated reporting and data exports
A manager asks: "Generate the Q1 sales report and upload it to the Reports folder." The MCP server queries Dataverse for closed opportunities in the date range, aggregates by region and product line, formats the data into a structured report, and uploads the finished document to the designated SharePoint library — no Power BI configuration or manual data wrangling needed. Dataverse • SharePoint • Aggregation
Onboarding workflow orchestration
HR tells the AI: "Onboard Jane Smith as a Marketing Analyst starting March 1." The MCP server creates the employee record in Dataverse, provisions a SharePoint folder with onboarding documents, sends a welcome email through Outlook with first-day instructions, creates onboarding tasks in the task management system, and notifies the hiring manager via Teams. One sentence, five systems coordinated. Dataverse • SharePoint • Outlook • Teams
Transparent, simple pricing
We handle everything — from understanding your workflows to building, deploying, and training your team. Both plans include free initial setup and ongoing consultancy hours.
Recommended for individuals and small teams
Local MCP Server
Runs on each user's machine — Claude Code, Cursor, Claude Desktop.
€150 / month per organization
Free deployment package
✓ Custom MCP server built for your workflows
✓ Up to 15 tools included in initial build
✓ Free deployment and setup on up to 3 users' machines
✓ Hands-on training for all 3 users
Monthly subscription includes
✓ Bug fixes and maintenance
✓ Tool updates and additions (within consultancy hours)
✓ Priority support via email and Teams
Best for teams and organization-wide deployment
Cloud-Based MCP Server
Hosted on your infrastructure — accessible to the entire team.
€300 / month per organization
Free deployment package
✓ Custom MCP server built for your workflows
✓ Up to 15 tools included in initial build
✓ Free deployment to your cloud infrastructure
✓ Hands-on training for up to 3 users
Monthly subscription includes
✓ Bug fixes and maintenance
✓ Tool updates and additions (within consultancy hours)
✓ Server monitoring and uptime management
✓ Priority support via email and Teams
What's included in every engagement
Discovery and Design
We analyze your existing workflows and systems to identify the highest-impact MCP tools to build. You get a clear proposal before any development begins.
Custom Development
We build your MCP server from scratch, with tools tailored to your specific processes, data models, and business rules. Up to 15 tools in the initial package.
Training & Handoff
Hands-on training sessions for up to 3 users. We show your team how to get the most out of AI + MCP in their daily work, with real examples from their own data.