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.
Summary
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.
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.
Claude is AI and can make mistakes. Please double-check responses.
💡 No install? Use cloud.anythingmcp.com directly. Sign in, click Connectors → MFR Mobile Field Report, paste your credentials, mint an MCP API key — done. No Docker, no
git clone, no local server.
MFR Mobile Field Report + Gemini
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.
Prerequisites
See the full setup instructions baked into the connector (visible in the in-app store when you select the connector). The required environment variables for this connector are:
MFR_USERNAME, MFR_PASSWORD
Step 1 — Get credentials
Key conventions:
Date format: Use datetime'YYYY-MM-DDTHH:mm:ssZ' for all date filters (e.g. DateModified gt datetime'2025-01-01T00:00:00Z').
ID format: Entity IDs are numeric. When used in URL paths, append an 'L' suffix (e.g. /ServiceRequests(11164418048L)). The tools handle this automatically.
OData filtering: All list endpoints support $filter, $orderby, $top, $skip, $select, and $expand. Combine filters with and/or. Operators: eq, ne, gt, ge, lt, le.
…(continued in the in-app connector instructions)
Step 2 — Install the adapter
curl -fsSL https://raw.githubusercontent.com/HelpCode-ai/anythingmcp/main/docker-compose.quickstart.yml -o docker-compose.yml
printf 'JWT_SECRET=%s\nENCRYPTION_KEY=%s\n' "$(openssl rand -hex 32)" "$(openssl rand -hex 32)" > .env
docker compose up -d
Step 3 — Add the connector in Gemini
Your server URL: in AnythingMCP, open MCP Servers → the server this connector is on, and copy its URL (
https://cloud.anythingmcp.com/mcp/…). Use it wherever this guide showsYOUR_SERVER_ID.
Gemini CLI reads MCP servers from ~/.gemini/settings.json (or %APPDATA%\gemini\settings.json on Windows). Add:
{
"mcpServers": {
"anythingmcp": {
"httpUrl": "https://cloud.anythingmcp.com/mcp/YOUR_SERVER_ID",
"headers": { "X-API-Key": "YOUR_MCP_API_KEY" }
}
}
}
- Get your MCP API key from AnythingMCP → MCP Servers → your server → API keys.
- Save the file and restart
gemini. - Run
/mcpinside the Gemini CLI —MFR Mobile Field Reportshould be listed as available. - Vertex AI Studio: pass
https://cloud.anythingmcp.com/mcp/YOUR_SERVER_IDto thetoolsarray of your request with the sameX-API-Keyheader.
Available tools
| Tool | What it does |
|---|---|
mfr_list_service_requests | List service requests (work orders) |
mfr_get_service_request | Get a single service request by its numeric ID |
mfr_get_service_request_by_external_id | Find a service request by its external ID (your system's reference) |
mfr_create_service_request | Create a new service request (work order) |
mfr_update_service_request | Update an existing service request |
mfr_delete_service_request | Delete a service request by its numeric ID |
mfr_link_service_request_service_object | Link a service object (equipment/device) to a service request |
mfr_link_service_request_document | Link a document to a service request |
mfr_add_tags_to_service_request | Add a tag to a service request |
mfr_remove_tag_from_service_request | Remove a tag from a service request |
mfr_add_qualification_to_service_request | Add a required qualification to a service request |
mfr_remove_qualification_from_service_request | Remove a qualification from a service request |
mfr_list_appointments | List scheduled appointments for field technicians |
mfr_create_appointment | Create a new appointment (standard, vacation, illness, or other) |
mfr_update_appointment | Update an existing appointment |
mfr_delete_appointment | Delete an appointment by its numeric ID |
mfr_list_companies | List companies (customers/clients) |
mfr_get_company | Get a single company by its numeric ID with all details |
mfr_create_company | Create a new company (customer/client) |
mfr_update_company | Update an existing company |
mfr_delete_company | Delete a company by its numeric ID |
mfr_list_contacts | List contacts (people linked to companies) |
mfr_get_contact | Get a single contact by its numeric ID |
mfr_create_contact | Create a new contact (person) |
mfr_update_contact | Update an existing contact |
mfr_list_service_objects | List service objects (equipment, machines, devices) |
mfr_get_service_object | Get a single service object by its numeric ID |
mfr_create_service_object | Create a new service object (equipment/device) |
mfr_update_service_object | Update an existing service object |
mfr_delete_service_object | Delete a service object by its numeric ID |
(showing 30 of 71 tools — install the connector to see them all)
FAQ
Does Gemini 1.5 Pro or 2.x support MCP? Yes — Gemini CLI ≥ 0.4 and Vertex AI tools API both accept MCP httpUrl connectors with custom headers.
Next steps
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