Connector guide1-minute read71 MCP toolsEN · DE · IT

How to Connect MFR Mobile Field Report to MCP for AI Agents

Manage field service operations with AI agents via MCP. Access service requests, appointments, technicians, and checklists from Mobile Field Report.

HCBy HelpCode teamUpdated 1 min read Open source on GitHub

No credit card · 7-day trial · Self-host alternative available

MFR Mobile Field Report

MCP connector

MFR Mobile Field Report

Manage field service operations with Mobile Field Report (MFR). Access service requests, appointments, companies, contacts, technicians, service objects, products, documents, time tracking, invoices, checklists, items, tags, qualifications, cost centers, and reports via OData API.

Tools

71

Region

DE

Category

Field Service

Authentication

Basic Auth

Required env vars

MFR_USERNAMEMFR_PASSWORD
Install in one click on Cloud

7-day free trial · No credit card

  • 7-day free trial
    No credit card required
  • GDPR & SOC 2 ready
    EU data residency, audit logs
  • Open-source on GitHub
    Open source AGPL-3.0
  • Works with ChatGPT, Claude, Gemini
    Any MCP-compatible client

Skip the install. Get this working in under 2 minutes.

Start a free trial on cloud.anythingmcp.com, add the MFR Mobile Field Report in one click, then point your AI client (Claude, ChatGPT, Copilot or Cursor) at the generated MCP endpoint. No Docker, no git clone, zero engineering experience required.

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Summary

Manage field service operations with AI agents via MCP. Access service requests, appointments, technicians, and checklists from Mobile Field Report.

Try asking

Example prompts for MFR Mobile Field Report

Click any prompt to copy it. Paste into Claude, ChatGPT, Cursor, Gemini, Copilot or OpenClaw to run it against this connector.

MFR Mobile Field Report · live via MCP
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Opus 4.7

Claude is AI and can make mistakes. Please double-check responses.

MFR Mobile Field Report with AI Agents

Mobile Field Report (MFR) is a German field service management platform used by technicians and service companies. By connecting its OData API to MCP, AI agents can query service requests, manage appointments, view checklists, and track technician time.

Quick Setup

git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && docker compose up -d

Open http://localhost:3000/connectors/store, import the MFR adapter, and enter your MFR username and password.

{
  "mcpServers": {
    "mfr": { "url": "http://localhost:4000/mcp" }
  }
}

Available Tools

ToolDescription
mfr_list_service_requestsList work orders with OData filtering and sorting
mfr_get_service_requestGet details of a specific service request
mfr_list_appointmentsView scheduled technician appointments
mfr_list_companiesList customer companies
mfr_list_contactsList contacts associated with companies
mfr_list_usersList technicians and system users
mfr_list_service_objectsList equipment and devices being serviced
mfr_list_stepsView checklist steps for a service request
mfr_list_time_eventsTrack technician working hours
mfr_list_invoicesView invoices from service requests

Use Cases

  • "Show all open service requests for this week"
  • "Which technician has the most appointments today?"
  • "List all service objects for company Müller GmbH"
  • "What checklist steps are incomplete for request SR-12345?"
  • "How many hours did technician Max work last month?"

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