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AllTrails MCP

Find hiking, biking, and running trails with reviews, photos, and route details from AllTrails.

Verdict

AllTrails MCP connects your workspace to trail data, letting you query hiking routes, difficulty ratings, elevation profiles, and user reviews without leaving Switchy. Teams planning outdoor events, writing travel content, or building location-based features can @mention AllTrails to pull trail details, filter by distance or terrain, and compare options. No authentication required — the MCP uses public trail data. Best for quick lookups; detailed trip planning still happens on AllTrails itself.

Common use cases

  • Research trails for team offsite locations
  • Pull elevation data for blog posts
  • Compare hike difficulty across regions
  • Find dog-friendly trails near client sites
  • Gather trail reviews for travel guides

Integration

Vendor
AllTrails MCP
Category
other
Auth
NONE
Composio slug
alltrails_mcp

Tools

Per-tool listings haven't synced yet for AllTrails MCP. The connection itself works - your Project can already @-mention it. Tool descriptions will fill in on the next Composio ingest.

Setup

Setup guide

  1. 11. Open your Switchy workspace and navigate to Settings > Integrations. 2. Find AllTrails MCP in the directory and click Connect. 3. No authentication step — the integration activates immediately since it uses public data. 4. Open any Project and type '@AllTrails' to confirm the MCP appears in the mention dropdown. 5. Test the connection by asking '@AllTrails find moderate trails near Yosemite under 5 miles' — you should see trail names, distances, and difficulty ratings in the response. 6. If the MCP doesn't respond, refresh the Project page and verify the integration shows as active in Settings.

What teammates see: by default, memories from AllTrails MCP are scoped to the Project (PROJECT visibility) - you can mark any memory PRIVATE or share it ORG-wide.

Works well with

Top models

Compatibility data appears once enough Projects have used this MCP together with a given model.

How Switchy teams use it

Not enough Projects yet to publish anonymised usage stats (we require ≥ 50 Projects per week).

Starter prompts

Find Nearby Trails

@AllTrails find trails within 10 miles of Boulder, Colorado that are rated easy and under 3 miles long

Compare Trail Features

@AllTrails compare the elevation profiles and user ratings for Angel's Landing, Half Dome, and The Narrows

Scout Event Locations

@AllTrails find trails near Portland with parking for 20+ cars, under 4 miles, and suitable for beginners

Pull Trail Reviews

@AllTrails show me the most recent reviews for the Appalachian Trail section near Harpers Ferry

Research Seasonal Conditions

@AllTrails what are the typical conditions for trails in Rocky Mountain National Park in early June

Example outputs

Illustrative - representative of the model's voice and quality, not literal recordings.

Prompt

@AllTrails find moderate hiking trails near Yosemite Valley with waterfalls, under 8 miles roundtrip

Output

Based on AllTrails data, here are three moderate trails near Yosemite Valley featuring waterfalls under 8 miles: Vernal Fall via Mist Trail (5.4 miles, 1,930 ft elevation gain, rated 4.7/5 from 12,400 reviews), Mirror Lake Loop (5.0 miles, 150 ft gain, 4.5/5 from 8,200 reviews), and Nevada Fall via Mist Trail (5.9 miles, 2,000 ft gain, 4.8/5 from 9,100 reviews). All three are currently open with recent trail reports noting good conditions but recommending traction devices for icy sections near the falls.

Notes

This example shows trail search and filtering by difficulty, distance, and features. Results depend on AllTrails' database coverage for the region. Without authentication, the MCP may have rate limits or restricted access to detailed trail conditions and user-generated content like photos or recent reviews.

Prompt

@AllTrails what are the top-rated dog-friendly trails within 20 miles of downtown Seattle, sorted by popularity

Output

Here are the most popular dog-friendly trails near downtown Seattle: Discovery Park Loop Trail (2.8 miles, easy, 4.6/5 from 15,300 reviews), Rattlesnake Ledge Trail (4.0 miles, moderate, 4.5/5 from 22,100 reviews), and Tiger Mountain Trail (5.5 miles, moderate, 4.4/5 from 8,900 reviews). All three allow leashed dogs year-round. Discovery Park offers waterfront views with minimal elevation gain, while Rattlesnake Ledge provides lake overlooks after a steady climb. Current conditions show muddy sections on Tiger Mountain after recent rain.

Notes

Demonstrates filtering by pet policy and geographic radius, then sorting by community engagement. The MCP surfaces aggregate ratings and review counts to indicate trail popularity. Be aware that 'top-rated' rankings shift as new reviews arrive, and seasonal closures or fire restrictions may affect availability despite high ratings.

Prompt

@AllTrails compare the difficulty and scenery of Half Dome versus Angels Landing, then suggest which one a moderately experienced hiker should attempt first

Output

Half Dome (Yosemite) is 14-16 miles with 4,800 ft elevation gain, rated very strenuous, requiring a permit and cable ascent with significant exposure. Angels Landing (Zion) is 5.4 miles with 1,500 ft gain, also very strenuous due to narrow ridgeline with chains and sheer drop-offs. Both demand comfort with heights. For a moderately experienced hiker, Angels Landing is the better starting point: shorter distance reduces endurance demands, and the chain section—while exposed—is less sustained than Half Dome's 400-foot cable climb. Build confidence there before attempting Half Dome's full-day commitment and permit lottery.

Notes

This example pairs AllTrails' trail data with the AI's reasoning to deliver personalized recommendations. The comparison synthesizes distance, elevation, technical features, and permit requirements. The advice reflects general hiking progression logic but cannot account for individual fitness levels, fear of heights, or current trail closures—users should verify conditions before planning.

Use-case deep-dives

Remote team offsite planning

When trail data belongs in your team's offsite doc

A 6-person remote team planning a quarterly offsite in Colorado needs to pick a hike that works for mixed fitness levels and fits a 3-hour window between sessions. The AllTrails MCP lets you pull trail difficulty, length, and elevation gain directly into the planning doc without tab-switching to the AllTrails site. This works if your offsite is in a region with decent trail coverage and you're comfortable making the call from stats alone. If you need photos, recent reviews, or trailhead parking details, you'll still open the browser. The MCP shines when you're comparing 4-6 options in a shared doc and want the core stats inline. Worth adding to the workspace if you run offsites twice a year or more.

Customer success team local recs

When your CS team fields 'what to do here' questions

A 3-person customer success team at a travel SaaS gets asked 'best hikes near [city]' a few times a week during onboarding calls. The AllTrails MCP lets you search trails by location and surface quick recommendations without leaving the CRM or call notes. This is faster than Googling if the question comes up often enough to justify the setup. The trade-off: you're limited to trails in the AllTrails database, which skews toward the US and popular international spots. If your customers are in regions with thin coverage, you'll still need local blogs or guides. Add this MCP if hiking recs are part of your customer experience and you want to standardize the source.

Content team research for outdoor brand

When you're writing trail guides at volume

A 2-person content team at an outdoor gear brand publishes 8-10 trail guides a month and needs consistent data on distance, elevation, and difficulty. The AllTrails MCP pulls structured trail info into your content drafts so you're not manually copying stats from the AllTrails site. This saves 10-15 minutes per guide if you're already using AllTrails as your source of truth. The boundary: if you need user-generated content like recent trip reports or seasonal conditions, the MCP won't replace opening the full site. It's a time-saver for teams that treat trail stats as reference data, not storytelling material. Worth it if you're publishing more than 5 guides a month.

Frequently asked

What does the AllTrails MCP do in Switchy?

The AllTrails MCP lets your team query trail information, search hiking routes, and access outdoor recreation data directly in Switchy conversations. Your AI agents can pull trail details, elevation profiles, difficulty ratings, and user reviews without leaving the workspace. This works for planning team offsites, researching locations for field work, or answering customer questions about outdoor activities.

Does AllTrails MCP require an API key or account?

No authentication is required to connect this MCP. It uses AllTrails' public data endpoints, so you don't need to manage API keys or link an AllTrails account. This means anyone on your team can start using it immediately after you enable the integration in your Switchy workspace settings.

Can it book trails or save favorites to my AllTrails account?

No. This MCP is read-only and pulls public trail data. It can't modify your AllTrails account, save favorites, or interact with your personal lists. If you need to bookmark trails or access premium AllTrails features, you'll still use the AllTrails app directly. Think of this as a research tool, not an account manager.

How is this different from just searching AllTrails in a browser?

Your AI agents can query trail data mid-conversation and combine it with other context in your workspace. Instead of switching tabs to search AllTrails manually, then copying details back into Switchy, the MCP fetches trail information inline. This matters when you're building itineraries, comparing multiple locations, or answering questions that need outdoor data plus information from other tools.

Who on my team should enable this integration?

Any workspace admin can turn it on. Since there's no authentication, you don't need to decide whose credentials to use. Once enabled, all team members can use it in their conversations. This works well for teams in travel, outdoor retail, event planning, or any business that references hiking and trail data regularly.

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Data last verified 61 hours ago.Sources aggregated hourly to weekly. See docs/architecture/model-directory.md.