Fieldproxy
Server Details
Run field service from Claude, ChatGPT or Copilot: dispatch, billing, customer messages, photos, and change the software itself, with a confirm step before every change. This address is the India region; US East, Canada, Norway and NZ addresses are at fieldproxy.ai/mcp.
The last two health checks of this connector failed. If this server requires authentication, missing or expired test credentials may be the cause. A test profile lets Glama authenticate for health checks and discover tools; it is separate from your personal connections.
If you are the author, claim ownership, then add or update a test profile under Admin → Test Profile.
- Status
- Unhealthy
- Uptime
- 77.9% over 42 days
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- Fieldproxy/fieldproxy-mcp
- GitHub Stars
- 0
- Server Listing
- Fieldproxy MCP server
- ChatGPT
- –
- Claude
- –
TDQS
Scored across 95 tools
Many tools are distinct, but several clusters overlap heavily: find_customers vs lookup_customers, churn_risk vs customer_churn_feedback_flags vs customer_churn_sentence_flags, ar_aging vs get_ar_aging, run_sql vs search_freeform vs export_csv, plan_day_routes vs plan_job_distribution vs dispatch_query, and multiple activity/usage admin tools. Descriptions give some differentiation, but an agent faces real misselection risk across these groups.
Dominant verb_noun snake_case pattern (find_jobs, list_calls, get_call), but many non-verb or noun-only names (ar_aging, jobs_chart, rework_check, technician_jobs, ops_report) and inconsistent get_ vs find_ vs list_ for similar reads. Readable overall but noticeably mixed conventions.
95 tools is an extreme mismatch for a single MCP server; many are near-duplicates or narrow admin analytics. This far exceeds any reasonable cognitive budget for an agent selecting among them.
The surface is remarkably broad, covering reads, SQL, routing, communications, documents, insights, admin audit, and scheduling plans with an explicit apply_schedule write path. It is if anything over-complete rather than lacking; only minor lifecycle gaps (e.g. direct update/delete outside propose_write) exist.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
3 tool updates
- Added
agent_task_detail - Added
agent_updates - Added
my_agent_tasks
1 tool update
- Added
customer_churn_sentence_flags
4 tool updates
- Added
calculate_route - Added
explain_change - Added
generate_pdf - Added
log_turn
5 tool updates
- Added
extract_follow_ups_from_notes - Added
get_workspace_instructions - Added
jobs_chart - Added
ops_report - Added
triage_new_requests
82 tool updates
- First observed
activity_summary - First observed
ai_activity_log - First observed
ai_usage_summary - First observed
analyze_funnel - First observed
ar_aging - First observed
broken_promises - First observed
churn_risk - First observed
compare_record - First observed
customer_churn_feedback_flags - First observed
describe_schema - First observed
dispatch_query - First observed
drive_time - First observed
export_csv - First observed
find_communications - First observed
find_contracts - First observed
find_customers - First observed
find_invoices - First observed
find_jobs - First observed
find_quotes - First observed
find_technicians - First observed
generate_document - First observed
generate_estimate - First observed
geocode_address - First observed
get_ar_aging - First observed
get_automation_docs - First observed
get_call - First observed
get_insight_result - First observed
get_tech_performance - First observed
get_widget_docs - First observed
integration_status - First observed
list_activity_alert_rules - First observed
list_activity_alerts - First observed
list_ai_connections - First observed
list_ai_memory - First observed
list_alerts - First observed
list_calls - First observed
list_dashboards - First observed
list_deleted_records - First observed
list_distinct_values - First observed
list_document_templates - First observed
list_email_followups - First observed
list_email_templates - First observed
list_estimate_templates - First observed
list_insights - First observed
list_proposal_templates - First observed
list_proposals - First observed
list_record_files - First observed
list_saved_views - First observed
list_scheduled_reports - First observed
list_service_zones - First observed
lookup_customers - First observed
nearest_technicians - First observed
open_record - First observed
overdue_tasks - First observed
plan_day_routes - First observed
plan_job_distribution - First observed
preview_proposal - First observed
priority_audit_from_text - First observed
quotes_to_follow_up - First observed
read_email_thread - First observed
read_file - First observed
record_history - First observed
revenue_by_month - First observed
reverse_geocode - First observed
rework_check - First observed
run_insight - First observed
run_sql - First observed
search_freeform - First observed
search_inbox - First observed
segment_customers - First observed
tech_workload - First observed
technician_jobs - First observed
technician_locations - First observed
technician_route - First observed
todays_schedule - First observed
unbilled_completed_jobs - First observed
unbilled_jobs_for_tech - First observed
view_dashboard - First observed
view_images - First observed
workspace_activity - First observed
workspace_usage - First observed
zones_for_location
Related MCP Connectors
Field operations on a deterministic solver — run jobs, crews & fleet from Claude or ChatGPT.
MCP server for your apps' tools and custom tools, plus hosted AI agents and approval-gated workflows
Build and run AI workflows, agents, data tables and 1000+ API integrations from any MCP client.
Automate 1,000+ services from any MCP-compatible AI agent: build Applets, run actions and queries.
Related MCP Servers
FlicenseNot gradedqualityAmaintenanceEnables users to query live security patrol data and manage operations — rounds and missed rounds, QR/NFC checkpoint scans, routes and schedules, incidents, visitor logs and guard activity — from Claude, ChatGPT, Copilot, Gemini, Cursor or any MCP client. Write actions such as creating routes or checkpoints and updating incidents are staged as proposals that are only applied after the user confirms.-- AlicenseNot gradedqualityAmaintenanceEnables AI assistants like Claude, Cursor, VS Code, and Windsurf to manage workspaces, projects, tasks, and AI agents through natural language, with a hosted OAuth server or a local stdio package. Also supports generating MCP tools from any OpenAPI spec.1,927 npmMIT
- AlicenseAqualityCmaintenanceLets teams operate their installed Narla AI agents from any MCP-capable assistant such as ChatGPT, Claude or Cursor, listing agents, tasks and business memory and drafting new tasks in plain language. Nothing executes until a human explicitly approves it, and every completed task retains a report of what the agent did and changed.6Apache 2.0
- AlicenseBqualityBmaintenanceEnables MCP clients such as Claude to read and manage persons, groups, calendars, events, and any of the 800+ ChurchTools API endpoints in a connected church instance using natural language. Reads execute immediately, while every write returns a preview of the intended change for approval before anything is committed, with one-time expiring tokens and a check for concurrent modifications.337 npm1MIT
Glama MCP Gateway
Add one secure layer between your agents and this server.