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How to Connect MFR Mobile Field Report to ChatGPT for AI Field Service

Connect MFR field service to ChatGPT using MCP. Manage service requests, appointments, and technician schedules with natural language.

HCBy HelpCode teamUpdated 1 min read Open-source on GitHub
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MFR Mobile Field Report

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

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  • 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

Connect MFR field service to ChatGPT using MCP. Manage service requests, appointments, and technician schedules with natural language.

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.

Connect MFR to ChatGPT

Mobile Field Report (MFR) is a field service management platform. Using AnythingMCP, you can expose MFR's OData API to ChatGPT through MCP — manage service operations with natural language.

Quick Setup

curl -fsSL https://raw.githubusercontent.com/HelpCode-ai/anythingmcp/main/docker-compose.quickstart.yml -o docker-compose.yml
printf 'JWT_SECRET=%s\nENCRYPTION_KEY=%s\n' "$(openssl rand -hex 32)" "$(openssl rand -hex 32)" > .env
docker compose up -d
  1. Open http://localhost:3000/connectors/store and import the MFR adapter
  2. Enter your MFR username and password
  3. Assign to an MCP server

Connect to ChatGPT

ChatGPT connects from OpenAI's servers, so your AnythingMCP instance needs a public HTTPS URL; localhost does not work. You can also use cloud.anythingmcp.com.

  1. Go to chatgpt.com/plugins, click +, then Add custom MCP server.
  2. Enter a name, e.g. Name: AnythingMCP.
  3. Under Connection, enter the Server URL https://your-anythingmcp-instance.com/mcp and keep Authentication on OAuth.
  4. Select I understand and want to continue, then Create as a plugin. When ChatGPT asks, sign in to AnythingMCP and allow access.
  5. Install the new plugin from your personal plugins, then type @ in a chat and pick it.

Use Cases

  • "Show all open service requests" — Overview of pending work
  • "Which technician is available tomorrow?" — Schedule planning
  • "List all service objects at Müller GmbH" — Equipment tracking
  • "Show time entries for last week" — Workload analysis
  • "What's the status of request SR-12345?" — Quick lookup

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