Integration
Connect Fluentcrm and Langfuse
When New Contact fires in Fluentcrm, your agent runs Add Comment in Langfuse, or New Trace in Langfuse to Add Note to Contact in Fluentcrm. 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 Fluentcrm and Langfuse 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 Fluentcrm and Langfuse can do together
From Fluentcrm to Langfuse
When New Contact in Fluentcrm
then Add Comment in Langfuse
From Langfuse to Fluentcrm
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 Fluentcrm and Langfuse
Triggers and actions 2 triggers · 27 actions
- New Contact
Triggers when a new contact is added to FluentCRM, optionally only for a given tag, list or status.
- Add Note to Contact
Adds a note to a FluentCRM contact, with a title, description, note type and optional date.
- Create Contact
Creates a new contact in FluentCRM, optionally adding them to tags and lists.
- Create List
Creates a new contact list in FluentCRM and returns it.
- Create Tag
Creates a new tag in FluentCRM that you can use to organise contacts.
- Delete Contact
Permanently deletes a contact and all of its associated data from FluentCRM.
- Find Contacts
Finds FluentCRM contacts matching a search term (name, email or other contact details), optionally narrowed by tag, list, status or company.
- Get Contact
Returns one FluentCRM contact by its ID or email address, including its tags, lists and custom field values.
- List Contact Notes
Returns the notes recorded on a FluentCRM contact, optionally filtered by note title.
- List Lists
Returns all contact lists in FluentCRM, optionally filtered by a search term and sorted.
- List Tags
Returns the tags defined in your FluentCRM account, optionally filtered by a search term and sorted.
- Send Double Opt-in Email
Sends a double opt-in confirmation email to a contact who is not yet subscribed.
- Track Event
Records a custom event on a FluentCRM contact, or increments its counter if the same event was already tracked for that contact.
- Update Contact
Updates an existing FluentCRM contact's details and custom field values, and adds or removes tags and lists.
- 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).
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
Fluentcrm and Langfuse, answered
What can start an automation from Fluentcrm?
Any of Fluentcrm's 1 trigger in the catalog, including New Contact. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Langfuse when something happens in Fluentcrm?
Any of Langfuse's 14 actions, including Add Comment, Add Dataset, Add Dataset Item and Add Prompt. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Langfuse to Fluentcrm?
Yes. When something happens in Langfuse, your agent can act in Fluentcrm too. This page covers both directions: Langfuse's triggers and Fluentcrm's actions are listed here as well.
Do I have to build a connector for Fluentcrm or Langfuse?
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 Fluentcrm and Langfuse 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.