Chat with AI and use the interactive dashboard.
EV charging stations worldwide — search by coordinate, map area, or driving route. Filter by speed, connector, and network.
Try this workflow
Find DC fast nearby
Find DC fast chargers within 10 miles of latitude 37.7749, longitude -122.4194 and rank them by distance with network, connectors, and address.
Search with the interactive app or chat with AI — both work side by side.
Browse all toolsBuilt for
EV Drivers, Fleet Planners, Charging Apps, Route Planning
Find DC fast nearby
Most common driver query — coordinates + speed filter.
Find DC fast chargers within 10 miles of latitude 37.7749, longitude -122.4194 and rank them by distance with network, connectors, and address.
Plan a road trip
Route-corridor planning — the headline US use case.
Plan EV charging stops for a drive from San Francisco, CA to Los Angeles, CA, only DC fast chargers within 5 miles of the route.
Country market share
Network comparison — analyst-style competitive question.
Compare Tesla Supercharger, Electrify America, and EVgo by station count in the US — show each network's share of the compared total.
Where does the data come from?
Charge Atlas aggregates open EV charging directories into one consistent shape and filter set. Full upstream attribution and licensing terms are listed on the Charge Atlas data-sources page; the AI surface itself uses a single ``coverage`` tag (``us_canada`` or ``global``) so callers can reason about freshness.
How fresh is real-time availability?
Only some networks publish live status. When a station lacks a status field, treat it as 'operational per last directory update' rather than 'available right now'.
Are NACS and CCS chargers both covered?
Yes — every major connector type is included (CCS, CHAdeMO, NACS/Tesla, J1772, Type 2 Mennekes, Tesla Destination). Filter by connector or by vehicle slug to drop incompatible chargers.
Domain knowledge for Charge Atlas — workflow patterns, data models, and gotchas for your AI agent.
Charge Atlas answers the question "where can I charge an electric vehicle here?" anywhere in the world. It exposes one consistent station shape and one consistent filter set across two coverage regions:
The right region is picked automatically from the search coordinates or country code; the AI never has to choose. The user-visible coverage field on every response simply labels which region produced the result so callers can warn appropriately (community-edited listings can be stale).
An interactive map dashboard is available alongside this chat. When the app panel is open, search results are automatically forwarded to the map — do NOT re-open the app. Just call the search and detail capabilities and the map will update with stations rendered as colored circle markers (green = DC Fast, orange = Level 2, gray = Level 1), click-through to station detail, and a panel list showing the top results.
| Region | coverage tag | Notes |
|---|---|---|
| United States (50 states + DC + territories) | us_canada | Daily-refreshed catalogue; includes private, planned, and temporarily-closed sites |
| Canada | us_canada | Same catalogue — DC fast charging is well-covered |
| Everywhere else | global | Community-edited; richer in EU and UK, sparser in some emerging markets |
Searches by latitude/longitude or bounding box automatically pick the right region from the coordinates. Searches that take a country code respect that code directly. Route-corridor search is US/Canada-only — for international routes, use the journey-planner capability instead.
Coverage, real-time status, and network coverage vary by country and by network. This data is best-effort and not a substitute for the network's own routing app for time-critical or safety-critical journeys (long-range road trips, single-shot drives in unfamiliar territory). Pricing, plug-and-charge support, and amenity details (open hours, restrooms, food) are not guaranteed and should be confirmed at the network's own site.
Tool calls are routed to the appropriate upstream directory based on the location of the query (US/Canada uses the NREL Alternative Fuels Data Center; everywhere else uses Open Charge Map). Responses are normalized to a single Charge Atlas station shape (id, name, lat, lon, address, country, network, charge_level, connector_types, ports, status, coverage). Distances are converted to statute miles. No caching of station rows, no transformation of source values beyond shape normalization.
Authoritative directory of public, semi-public, and planned alternative fuel stations across the United States and Canada. Includes electric, hydrogen, biodiesel, ethanol (E85), CNG, LNG, and propane. Charge Atlas only surfaces the electric subset (~70K EV charging stations as of 2026). Refreshed daily.
Community-maintained global directory of EV charging locations. Listings are crowd-sourced and verified by network operators where available. Charge Atlas uses Open Charge Map for non-US results and as a global fallback.
Basemap tiles rendered by CARTO for the interactive map UI. Not used for any data lookup — display only.
Source availability last verified 2026-04-22.
Compare two or more EV charging networks side-by-side in a given country. Returns each network's station count (and an estimated total when the underl...
Get aggregate EV charging statistics for a country: total station count, breakdown by charger speed (DC fast / Level 2 / Level 1), and the top 20 netw...
Get full detail for a single charging station by Charge Atlas ID. Returns station name, full address, operator network, port count, supported connecto...
Plan an EV-friendly drive from origin to destination, with chargers along the way. Geocodes both endpoints, fetches a driving polyline, then surfaces ...
List the EV connector / plug types that Charge Atlas can filter on, with their charge level (L1 / L2 / DC), current type (AC / DC), max power in kW, a...
List EV charging network operators active in a country, with their station counts. Use the returned network names as comma-separated values for the 'n...
List the EV models that Charge Atlas can filter charging stations by. Each entry returns the model's slug (used as the 'vehicle' parameter on search c...
Open the Charge Atlas interactive EV charging map. Use this only when the user asks to open or view the map before running a specific charger search.
Find EV charging stations along a driving route corridor. Takes an ordered list of [lat, lon] waypoints and a corridor radius in miles, returns statio...
Find public EV charging stations inside a geographic bounding box (map viewport). Pass the south-west corner as (min_lat, min_lon) and the north-east ...
Find public EV charging stations near a free-text location anywhere in the world. The location string is geocoded internally and then queried for char...
Find public EV charging stations near a latitude/longitude coordinate. When the host provides ``openai/userLocation``, the coordinate is optional and ...
Find EV charging stations anywhere in the world. Search by coordinates, map area, or driving route. Filter by speed (Level 1 / Level 2 / DC Fast), connector (CCS, CHAdeMO, NACS, J1772), and network. It provides 12 tools that AI agents can use through the Model Context Protocol (MCP).
Add the MCPBundles server URL to your MCP client configuration (Claude Desktop, Cursor, VS Code, etc.). The URL format is: https://mcp.mcpbundles.com/bundle/charge-atlas. Authentication is handled automatically.
Charge Atlas provides 12 tools that can be called by AI agents, along with a SKILL.md that gives your AI agent domain knowledge about when and how to use them.
Charge Atlas uses open data APIs — no authentication required.
Charge Atlas aggregates open EV charging directories into one consistent shape and filter set. Full upstream attribution and licensing terms are listed on the Charge Atlas data-sources page; the AI surface itself uses a single ``coverage`` tag (``us_canada`` or ``global``) so callers can reason about freshness.
Only some networks publish live status. When a station lacks a status field, treat it as 'operational per last directory update' rather than 'available right now'.
Yes — every major connector type is included (CCS, CHAdeMO, NACS/Tesla, J1772, Type 2 Mennekes, Tesla Destination). Filter by connector or by vehicle slug to drop incompatible chargers.
Connect Charge Atlas to any MCP client in minutes
https://mcp.mcpbundles.com/bundle/charge-atlasThe link prefills the Add custom connector dialog — you still review the values and click Add, then Connect to complete OAuth.
Charge Atlas and paste the MCP URL into Remote MCP server URL.Custom connectors at claude.ai require a paid Claude plan (Pro, Max, Team, or Enterprise).
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