Integration
Connect Langfuse to Strava
When New Trace fires in Langfuse, your agent runs Get activity in Strava. Describe the whole flow and it is built, tested on every scenario and kept running.
What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.
Build solutions, not workarounds.
What do you want Langfuse and Strava to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiOne connection does both: ask your client to act in an app once, or have it build an automation that keeps running. Any client that takes a remote MCP server. Nothing to install. Create your free account, then sign in once in your browser.
Set it up in your client
Claude Code
Run this in the directory you want to work in.
claude mcp add --transport http -s project apiant-ai https://mcp.apiant.aiStart Claude Code there, approve the server, and sign in in the browser page it opens.
Claude Code guide (opens in a new tab)Claude, web and desktop
Open Customize, then Connectors, then Add custom connector, and paste the address. On Team and Enterprise an owner adds it first.
Setup guide (opens in a new tab)Cursor
Add the address to your MCP configuration as a server URL. Cursor signs you in in your browser.
Setup guide (opens in a new tab)Zed
Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.
Setup guide (opens in a new tab)Codex and the ChatGPT desktop app
Open Settings, then MCP servers, then Add server, and choose Streamable HTTP. From the terminal, Codex takes the address with its own add command and then signs you in.
Setup guide (opens in a new tab)Any other MCP client
Paste the address where the client asks for a remote MCP server URL, and name the server apiant-ai where it lets you. APIANT's skills reach the client over the same connection.
Setup guide (opens in a new tab)Example flows
What Langfuse can start in Strava
When New Trace in Langfuse
then Get activity in Strava
Starting points drawn from the triggers and actions in the catalog today. Describe the flow you need, at any depth, and your agent builds it and tests every scenario before it ships.
Everything your agent can do with Langfuse and Strava
Triggers and actions 1 trigger · 27 actions
- New Trace
Polling trigger: fires for newly created traces (dedup by trace id / timestamp).
- Add Comment
Add a comment to a trace/observation/session/prompt object.
- Add Dataset
Create a new dataset.
- Add Dataset Item
Create an item (input/expected_output/metadata) in a dataset.
- Add Prompt
Create a new prompt version (text or chat).
- Add Score
Create a score attached to a trace/observation/session (numeric, categorical, or boolean).
- Delete Trace
Delete a trace by id.
- Get Project
Reads the Langfuse project that the connection's project-scoped API key belongs to.
- Get Prompt
Get a prompt by name (and optional version/label).
- Get Trace
Get a single trace by id, including nested observations/scores.
- List Dataset Items
List items in a dataset.
- List Datasets
List all datasets in the project.
- List Prompts
List all prompts in the project.
- List Scores
List scores with optional filters.
- List Traces
List traces with optional filters (user, session, tags, timerange).
- Get activity
Returns the full details of one of the authenticated athlete's Strava activities, including distance, times, elevation, laps, splits and segment efforts.
- Get athlete
Returns the profile of the Strava athlete whose account is connected, including name, location, follower counts, clubs, bikes and shoes.
- Get athlete stats
Returns an athlete's activity totals — recent (last 4 weeks), year-to-date and all-time ride, run and swim stats, plus their longest ride and biggest climb. Only activities visible to Everyone are counted.
- Get club
Returns the full details of a Strava club, including its name, location, sport type, member count and your membership status.
- Get gear
Returns a piece of the athlete's equipment (a bike or pair of shoes) by its id, including brand, model, description and total distance.
- Get route
Returns a Strava route by its id, including its name, distance, elevation gain, map and segments. Private routes require read_all access.
- Get segment
Returns a Strava segment's details, including distance, grade, elevation, location, and the athlete's own stats on it.
- List activities
Returns the connected athlete's activities, newest first, optionally limited to a time window.
- List activity comments
Returns the comments posted on a Strava activity, including each comment's text, author and posting time.
- List activity kudoers
Returns the athletes who gave kudos to a Strava activity.
- List clubs
Returns the clubs the connected Strava athlete is a member of.
- List routes
Returns the routes created by the authenticated Strava athlete. Private routes are included only when the connection has read_all access.
- List starred segments
Returns the segments the connected Strava athlete has starred. Private segments are included only when the connection has the read_all scope.
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.
Each app on its own
Reviews
What our customers say
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Questions
Langfuse and Strava, answered
What can start an automation from Langfuse?
Any of Langfuse's 1 trigger in the catalog, including New Trace. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Strava when something happens in Langfuse?
Any of Strava's 13 actions, including Get activity, Get athlete, Get athlete stats and Get club. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Strava to Langfuse?
Strava has no triggers in the catalog today, so automations start in Langfuse. If you need the other direction, ask: your agent reads Strava's API documentation and adds it.
Do I have to build a connector for Langfuse or Strava?
No. Both are in the catalog with their triggers and actions. You describe the automation; your agent builds it, tests every scenario and keeps it running.
Can my AI client use Langfuse and Strava without building an automation?
Yes. With your AI client connected to APIANT, ask it to do something in either app once and it runs that action on the spot. Ask for an automation and your agent builds it, tests every scenario and keeps it running. One connection covers both.
What happens when something fails?
Your agent works that out for you. It plans the failure paths along with the happy path, then tests every scenario before it ships.
Is there a free plan?
Yes. Every plan includes the agent, including free, and building from your own AI client spends no assistant credits.