Road511 MCP. Analyze North American Traffic Incidents & Trends
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Road511 gives your agent real-time traffic data across US and Canada. It pulls incident reports, live camera feeds, road conditions, and infrastructure details (like EV chargers and rest areas) into one API.
Your AI client can track accidents, analyze congestion patterns over time, and map all this data using GeoJSON. Stop jumping between state 511 websites—your agent handles the whole continent's traffic info from a single conversation.
What your AI agents can do
Get clearance
Retrieves the P50/P95 metrics for how long traffic incidents take to clear, segmented by type and region.
Get events
Gets a list of active incidents, construction zones, closures, and advisories across US and Canada based on filters you provide.
Get events geojson
Returns all traffic events in GeoJSON format, making the data ready to plot directly onto a mapping application.
The agent retrieves active accident reports, construction zones, and closures across US and Canadian highways.
You get coordinates and details for cameras, rest areas, and EV chargers in a ready-to-use GeoJSON format.
The agent calculates median resolution times (P50/P95) based on incident type and location data.
You check the API's reliability, data source connectivity status, and last update timestamps for all 65 jurisdictions.
The agent generates time-series reports showing if incident counts or specific congestion types are increasing or decreasing over a period.
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Supported MCP Clients
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Road511 MCP Server: 8 Tools for Traffic Analytics
These eight tools allow your agent to perform deep analysis on traffic incidents, infrastructure features, and historical trends across North America.
019d75ffget clearance
Retrieves the P50/P95 metrics for how long traffic incidents take to clear, segmented by type and region.
019d75ffget events
Gets a list of active incidents, construction zones, closures, and advisories across US and Canada based on filters you provide.
019d75ffget events geojson
Returns all traffic events in GeoJSON format, making the data ready to plot directly onto a mapping application.
019d75ffget features
Pulls general infrastructure details like camera locations, rest areas, and road surface status by jurisdiction.
019d75ffget features geojson
Returns all road infrastructure features—cameras, weather data, chargers—in GeoJSON format for mapping tools.
019d75ffget health
Checks the overall API status, response times, and connectivity of the underlying data sources across multiple states.
019d75ffget summary
Provides a high-level count and health check on all incidents, camera feeds, and data source statuses nationwide.
019d75ffget trends
Analyzes traffic incident counts over time, showing trends in severity or frequency for operational reporting.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
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What you can do with this MCP connector
Listen up. This isn't some fluffy API for checking a single street corner. The Road511 MCP Server feeds your agent real-time traffic data across the whole US and Canada. It pulls everything—accidents, construction, camera locations, even where the EV chargers are—and funnels it into one place. You don't jump between state 511 websites anymore; your agent handles the entire continent from a single conversation.
When you use this server, your agent performs several critical jobs:
Tracking Active Incidents and Closures: Your agent pulls active reports on accidents, construction zones, closures, and advisories across US and Canadian highways using get_events. You can filter those events by whatever criteria you need. For mapping purposes, it returns all current traffic incidents in ready-to-plot GeoJSON format via get_events_geojson.
Mapping Infrastructure Details: If you're building a map layer, you don't have to piece things together. You get general infrastructure details—like camera spots, rest areas, and road surface status—for every jurisdiction using get_features. For mapping tools, it packages all the road infrastructure features, including cameras, weather data, and EV chargers, into GeoJSON format through get_features_geojson.
Analyzing Performance & Patterns: You need to know if traffic problems are getting better or worse. Your agent analyzes incident counts over time using get_trends, giving you reports on frequency or severity changes for operational reporting. It also calculates median resolution times (the P50/P95 metrics) showing how long different types of incidents usually take to clear, broken down by region and type—that’s what get_clearance does.
Monitoring System Reliability: You never want your data feed dropping out. Your agent checks the overall API status, response times, and connectivity for all underlying data sources across every single jurisdiction using get_health. For a quick overview, get_summary gives you a high-level count and health check on all incidents, camera feeds, and data source statuses nationwide.
You'll use these tools to map everything: from the real-time event details found with get_events, to plotting infrastructure points using get_features. You’re tracking more than just accidents; you're building a comprehensive operational picture of North American travel. It’s all about getting that actionable data directly into your workflow, period.
How Road511 MCP Works
- 1 Subscribe to the server and input your Road511 API key.
- 2 Your AI client calls the desired tool (e.g.,
get_events) with specific parameters like a state name or highway number. - 3 The server executes the query, returns structured data (like GeoJSON), and your agent presents it in plain language.
The bottom line is: you tell your AI client what traffic problem you have, and it runs the necessary tools to get the answer.
Who Is Road511 MCP For?
This is for anyone who relies on accurate, timely location data. Think fleet managers whose routes are constantly disrupted by unexpected closures. It's for urban planners needing historical data to justify infrastructure spending. If your job involves planning movement—whether it's people or goods—you need this.
Uses get_events and get_features_geojson to reroute entire fleets around major incidents, minimizing unexpected delays.
Runs get_trends and get_clearance to generate performance reports showing which jurisdictions resolve accidents fastest.
Checks real-time road conditions and incident locations using get_events for immediate dispatch decisions.
What Changes When You Connect
Real-World Use Cases
Pre-trip route optimization for a delivery driver
The coordinator needs to send a truck across three states. They ask their agent: 'What's the traffic picture on I-80 from Chicago to Denver?' The agent runs get_events, pulling real-time closures and accidents, then combines that with live camera feeds (via get_features_geojson) to issue a precise alternate route plan.
Assessing local government performance
A city planner needs data for a grant application. They ask the agent: 'How fast are major incidents clearing in this metropolitan area?' The agent runs get_clearance, providing P50/P95 resolution times by incident type, giving them quantifiable metrics.
Planning a large-scale field event
The organizer needs to know where key infrastructure points are. They ask: 'Show me all available rest areas and weigh stations along the route.' The agent uses get_features, providing coordinates for planning logistics stops.
Analyzing seasonal traffic risk
The safety director needs to know if accident rates are changing. They ask: 'Are major incidents increasing in Texas this quarter?' The agent runs get_trends to give a time-series analysis, helping them adjust staffing levels.
The Tradeoffs
Treating all data as simple text
Trying to manually compile coordinates and descriptions from multiple API calls into a spreadsheet for mapping.
→
Always use the dedicated GeoJSON tools. Calling get_events_geojson or get_features_geojson gives you map-ready data structures, saving hours of manual cleanup.
Ignoring data freshness
Running a critical report based on stale data because the system hasn't been checked recently.
→
Always start by running get_summary or get_health. This confirms the API is up and tells you how fresh the data actually is before relying on it.
Asking for everything at once
A single massive prompt asking for incidents, cameras, trends, and charging stations. The agent gets overwhelmed or times out.
→
Break down the task using specific tools. First, call get_events for current issues; then, separately, use get_features to find infrastructure like chargers.
When It Fits, When It Doesn't
Use this server if your primary need is knowing what's happening on US/Canada highways right now—or understanding the pattern of problems over time. If you only need basic points of interest (like finding a single gas station), simpler mapping APIs might suffice. But if you need to combine live events (get_events), historical performance analysis (get_clearance, get_trends), and map the resulting data into GeoJSON (get_events_geojson)—this is your tool. Don't use this if you just need a static list of state capitals; it’s for moving, complex data streams. If you suspect the underlying source might be flaky or old, run get_health first. It tells you if the whole system can even be trusted.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Road511. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 8 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Checking Traffic Manually is a Time Sink
Today, figuring out a viable route means opening up three different state 511 websites, checking live camera feeds for bottlenecks, and then manually cross-referencing construction closures with weather advisories. You spend twenty minutes just compiling the raw data before you even start planning.
With Road511 MCP Server, your agent does it instantly. You ask: 'What's happening on I-70?' The server runs `get_events` and compiles all incidents—accidents, construction, closures, weather warnings—into one clean, actionable response.
Road511 MCP Server: Get Map-Ready Traffic Data
The old way was pulling raw data into a GIS program and spending hours cleaning up coordinates, figuring out which points were lines vs. single dots, and making sure every feature had the right property tags. It was a painful manual cleanup job.
Now, you just call `get_events_geojson`. The server gives you map-ready GeoJSON features instantly. Your agent doesn't just give you data; it hands you a file that works immediately in any mapping tool.
Common Questions About Road511 MCP
How do I check if the Road511 API is working right now? +
Run get_health. This tool checks the system's current status, response times, and data source connectivity across all 65 jurisdictions. It's your first diagnostic step.
I need to plot traffic events on a map. Which tool should I use? +
get_events_geojson is what you want. It returns all incident and event properties packaged in GeoJSON format, which mapping tools read directly without extra work.
How do I find out how long an accident typically takes to clear? +
You use get_clearance. This tool calculates the median (P50/P95) resolution time for incidents, letting you benchmark performance by incident type or region.
What if I need data on infrastructure like cameras and chargers? +
Use get_features or get_features_geojson. These tools gather general infrastructure details—cameras, rest areas, EV stations—and give them to you in a structured format.
I want to know if congestion is worsening this quarter. Which tool shows trends? +
get_trends analyzes incident counts over time. It gives you data on trend direction (increasing, decreasing) and peak times for analytical reporting.
How do I use the `get_events` tool to filter for a specific combination of severity, type, and jurisdiction? +
You pass multiple parameters to the get_events tool. You specify criteria like 'severity,' 'type' (e.g., construction), and a 'jurisdiction' code (like CA). This ensures your query pulls only the precise events you need for focused analysis, rather than all traffic in that area.
What is the difference between using `get_events` and `get_features` when querying data? +
get_events tracks dynamic incidents—things like accidents or closures. Use it for real-time changes. If you just need static infrastructure details—like camera locations, rest areas, or general road status—then get_features provides that core location and type data.
What should my AI agent do if I exceed the API rate limits when calling these tools? +
If your agent hits a rate limit, it needs to pause before retrying. The system will return a specific error code indicating how long you must wait. Your client must implement an exponential backoff strategy; continuous calls during this cooldown period won't work.
Can my AI check for traffic incidents on a specific highway like I-405 in California? +
Yes! Use the get_events tool with road=I-405 and jurisdiction=CA to filter incidents specifically on that highway. You can further filter by type (incidents, construction, closures) and severity (minor, moderate, major, critical). The results include incident descriptions, affected lanes, estimated clearance times, and alternate route suggestions. For mapping visualization, use get_events_geojson to get the same data in GeoJSON format ready for Mapbox or Leaflet.
How do I find traffic cameras and EV charging stations along my route? +
Use the get_features tool with type=cameras to find all traffic cameras in a jurisdiction, or type=ev_chargers for EV charging stations. You can filter by bounding box (bbox) or by radius from a lat/lon point. For mapping applications, use get_features_geojson which returns data in GeoJSON format ready for direct integration with mapping libraries. Camera features include live stream URLs and road conditions include surface status and weather impacts.
Can I analyze traffic incident trends to understand if traffic is getting worse in my state? +
Absolutely! Use get_trends with your jurisdiction code (e.g., jurisdiction=CA for California) to get time-series incident data showing whether incidents are increasing, decreasing, or stable over time. Use get_clearance to understand how quickly incidents are being resolved (P50 median and P95 resolution times). Combined with get_summary for current snapshot data, you can build comprehensive traffic safety and efficiency reports. This is perfect for transportation planning, resource allocation, and operational performance benchmarking.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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