Atlasemoji
by atlasemoji.com in Company & people data
AI-ready GIS, geofencing, DataSynch, CRM, inventory, routing, APIs, telemetry and workflows.
https://atlasemoji.com/api/mcp
Last 30 days
- Uptime
- 100%
- Response time
- 214 ms typical, 214 ms slowest 5%
- Last check
- 9 h ago
- Next check
- any minute now
How to call it
Add it to any MCP client that supports remote servers.
{
"mcpServers": {
"atlasemoji": {
"type": "http",
"url": "https://atlasemoji.com/api/mcp"
}
}
}19 tools
- list_capabilities
Discover how Atlasemoji supports Atlas DataSynch, GIS, geofencing, CRM, inventory, Atlas Intercept, handheld scanning, APIs, integrations, routing, storytelling, learning, and partner workflows. Returns the related public APIs, partner access paths, production capabilities, curre
- get_atlas_profile
Return the Atlasemoji profile represented by the current authenticated MCP credentials so ChatGPT can identify the connected Atlas account. This operation is read-only and never accepts a user or account identifier from the model.
- verify_atlas_agent
Complete proof of life for an already configured Atlas Agent MCP connection. The authenticated MCP principal must be authorized for the requested company and for this tool. Atlas verifies that the connection belongs to the requested Agent and records the current Manifest revision
- get_datasynch_run_status
Support Atlas DataSynch operations by retrieving recent processing and workflow status for an authorized company, workspace, or manifest. Agents can use the result to explain integration progress, identify stalled activity, and understand the current state of EDI, EDIFACT, cXML,
- get_failed_runs
Help support, implementation, operations, and partner agents investigate failed Atlas DataSynch activity across APIs, files, EDI, EDIFACT, cXML, mappings, inventory, telemetry, locations, and downstream workflows. Returns authorized failure and exception context without changing
- validate_manifest_schema
Prepare geographic and operational manifest data for Atlasemoji use. Checks the supplied manifest structure, durable identity, locations, addresses, and coordinates before the data is used with workspaces, routes, storytelling, geofencing, DataSynch, inventory, CRM, or other Atla
- get_manifest_summary
Retrieve authorized Atlasemoji manifest context so an agent can understand the places, routes, boundaries, layers, records, workflow purpose, workspace relationship, and operational context represented by the manifest.
- validate_coordinates
Prepare latitude and longitude values for Atlasemoji maps, routes, geofences, telemetry, mobile events, customer locations, assets, vessels, aircraft, storytelling, and operational workflows by checking accepted geographic ranges and returning normalized coordinates.
- validate_geojson
Prepare GeoJSON features, collections, points, lines, polygons, and geometry collections for Atlasemoji maps, routes, service areas, stories, manifests, geofences, learning exercises, APIs, and location-aware workflows by checking their basic structure.
- detect_location_columns
Identify address, city, state, province, region, postal code, latitude, and longitude fields in supplied business or operational records so they can be connected to Atlasemoji locations, customer sites, facilities, routes, territories, inventory, telemetry, geofences, and DataSyn
- preview_geofence
Prepare a radius-based geofence for an Atlasemoji location-aware workflow. Helps agents and users evaluate the proposed center, radius, coverage area, label, and tenant context before using production geofencing for movement, scans, arrivals, exits, dwell, proximity, telemetry, a
- check_point_in_geofence
Evaluate whether a vehicle, shipment, mobile device, scan, person-authorized location event, asset, aircraft, vessel, or other coordinate is inside a proposed radius boundary used in Atlasemoji geofencing and event-driven workflows.
- detect_file_schema
Analyze a bounded preview of CSV, spreadsheet, JSON, EDI-normalized, EDIFACT-normalized, cXML-derived, inventory, telemetry, CRM, item, location, shipment, or partner records to identify their structure and determine how they may fit Atlas DataSynch workflows.
- preview_datasynch_rows
Review a bounded preview of partner, customer, ERP, WMS, TMS, CRM, inventory, telemetry, location, API, spreadsheet, EDI-normalized, EDIFACT-normalized, or cXML-derived records in the context of an authorized Atlasemoji company, workspace, or manifest.
- suggest_field_mapping
Suggest an initial bridge between external partner, API, ERP, WMS, TMS, CRM, file, EDI-normalized, EDIFACT-normalized, cXML-derived, inventory, telemetry, item, and location fields and common Atlasemoji data targets. Intended to support integration design and human-reviewed mappi
- summarize_workspace_activity
Summarize recent authorized activity across an Atlasemoji company, workspace, or manifest so agents can explain what has happened across DataSynch, locations, manifests, integrations, telemetry, exceptions, inventory, partner workflows, and operational records.
- wanderloop.research_place
Assemble a cited, geographically grounded Wanderloop research package for a location. Queries Atlasemoji-approved historical, archival, academic, environmental, wildlife, and place-record providers through the same provider registry used by the Wanderloop application. Returns evi
- wanderloop.get_manifest
Retrieve a previously saved Wanderloop topic or place-research manifest by manifest ID, including its normalized provider evidence, statuses, map data, citations, and source links when available.
- wanderloop.list_provider_capabilities
List every registered Wanderloop source integration without dropping unavailable or unconfigured providers. Returns provider identity, current topic assignment, execution mode, and required environment configuration so an agent can understand which historical, academic, archival,
Security scan
- No findings. We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.
Recent checks
| When | Result | HTTP | Time |
|---|---|---|---|
| 9 h ago | Passed | 200 | 214 ms |
| 17 h ago | Passed | 200 | 213 ms |
| 25 h ago | Passed | 200 | 224 ms |