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.
Prueba a pedir
Prompts de ejemplo para MFR Mobile Field Report
Haz clic en un prompt para copiarlo. Pégalo en Claude, ChatGPT, Cursor, Gemini, Copilot u OpenClaw para ejecutarlo contra este conector.
Claude es IA y puede equivocarse. Verifica siempre las respuestas.
💡 ¿Sin instalación? Usa cloud.anythingmcp.com directamente. Inicia sesión, pulsa Connectors → MFR Mobile Field Report, pega tus credenciales, genera una MCP API key — listo. Sin Docker, sin
git clone, sin servidor local.
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.
Requisitos previos
Las instrucciones de configuración completas están incluidas en el conector (visibles en el store al seleccionarlo). Las variables de entorno requeridas:
MFR_USERNAME, MFR_PASSWORD
Paso 1 — Obtener credenciales
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)
Paso 2 — Instalar el adapter
git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && docker compose up -d
Paso 3 — Añadir el conector en Gemini
Gemini CLI lee servidores MCP desde ~/.gemini/settings.json (o %APPDATA%\gemini\settings.json en Windows). Añade:
{
"mcpServers": {
"anythingmcp": {
"httpUrl": "https://cloud.anythingmcp.com/mcp",
"headers": { "Authorization": "Bearer YOUR_MCP_API_KEY" }
}
}
}
- Obtén tu MCP API key desde AnythingMCP → Perfil → MCP API Keys → Nueva Key.
- Guarda el archivo y reinicia
gemini. - Ejecuta
/mcpen la Gemini CLI —MFR Mobile Field Reportdebería aparecer como disponible. - Vertex AI Studio: pasa
https://cloud.anythingmcp.com/mcpal arraytoolsde tu petición con el mismo header Bearer.
Herramientas disponibles
| 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
¿Gemini 1.5 Pro o 2.x soportan MCP? Sí — Gemini CLI ≥ 0.4 y la API de tools de Vertex AI aceptan conectores MCP httpUrl con header Bearer.
Siguientes pasos
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