Integration
Connect Salesforce and Langfuse
When New or updated object record fires in Salesforce, your agent runs Add Comment in Langfuse, or New Trace in Langfuse to Create object record in Salesforce. 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 Salesforce 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)If your support or sales team logs customer conversations in Salesforce while your LLM app writes traces to Langfuse, joining the two lets each side carry the other's context. Salesforce records can become Langfuse dataset items, scores or prompts, and Langfuse traces can update the Case, Contact or Opportunity they came from.
Example flows
What Salesforce and Langfuse can do together
From Salesforce to Langfuse
When New or updated object record in Salesforce
then Add Comment in Langfuse
When New object record in Salesforce
then Add Dataset Item in Langfuse
From Langfuse to Salesforce
When New Trace in Langfuse
then Create object record in Salesforce
When New Trace in Langfuse
then Find most recent created or updated record in Salesforce
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 Salesforce and Langfuse
Triggers and actions 3 triggers · 23 actions
Trigger
New object recordPolling trigger: fires for each new record created in the specified SObject type. Polls SOQL ordered by CreatedDate descending.
Trigger
New or updated object recordPolling trigger: fires for each record created or modified in the specified SObject type. Polls SOQL ordered by SystemModstamp descending.
Action
Create object recordCreates a new record of the specified SObject type (standard or custom, e.g. Account, Contact, Lead, Opportunity, Case, or MyObject__c) with the supplied field values.
Action
Delete object recordDeletes an existing SObject record by object type and record ID.
Action
Describe objectReturns the full field and metadata description (describe) for an SObject type — useful for discovering available fields and their API names.
Action
Find most recent created or updated recordReturns the single most recently created or last-modified record for the specified SObject type (ordered by SystemModstamp DESC, LIMIT 1).
Action
Find object recordsFinds matching records for an SObject type by a field/value equality match via SOQL. Returns Id and the requested fields for all matches.
Action
Get object recordRetrieves a single SObject record by object type and record ID. Optionally restrict returned fields with a comma-separated 'fields' list.
Action
List objectsLists all available SObject types (standard and custom) on the org.
Action
SOQL queryExecutes a SOQL query against the org and returns matching records. Example: SELECT Id, Name FROM Account WHERE CreatedDate = TODAY.
Action
Update object recordUpdates an existing SObject record by object type and record ID with the supplied field values. Salesforce returns no body on success (HTTP 204).
Trigger
New TracePolling trigger: fires for newly created traces (dedup by trace id / timestamp).
Action
Add CommentAdd a comment to a trace/observation/session/prompt object.
Action
Add DatasetCreate a new dataset.
Action
Add Dataset ItemCreate an item (input/expected_output/metadata) in a dataset.
Action
Add PromptCreate a new prompt version (text or chat).
Action
Add ScoreCreate a score attached to a trace/observation/session (numeric, categorical, or boolean).
Action
Delete TraceDelete a trace by id.
Action
Get ProjectReads the Langfuse project that the connection's project-scoped API key belongs to.
Action
Get PromptGet a prompt by name (and optional version/label).
Action
Get TraceGet a single trace by id, including nested observations/scores.
Action
List Dataset ItemsList items in a dataset.
Action
List DatasetsList all datasets in the project.
Action
List PromptsList all prompts in the project.
Action
List ScoresList scores with optional filters.
Action
List TracesList 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
Salesforce and Langfuse, answered
How does a Langfuse trace find the right Salesforce record?
The agent reads the trace with Get Trace and uses an identifier your app already puts in the trace, then runs Find object records or a SOQL query in Salesforce to match it. If no match comes back, it can create a record instead of updating one.
Can Salesforce case data become evaluation material in Langfuse?
Yes. A new or updated Salesforce record can trigger Add Dataset Item in Langfuse, with the subject and description as input and the agreed reply as expected output. The agent tests every scenario, including records where the fields you map are empty.
What can start an automation from Salesforce?
Any of Salesforce's 2 triggers in the catalog, including New or updated object record and New object record. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Langfuse when something happens in Salesforce?
Any of Langfuse's 14 actions, including Add Score, Get Trace, Add Comment and Add Dataset. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Langfuse to Salesforce?
Yes. When something happens in Langfuse, your agent can act in Salesforce too. This page covers both directions: Langfuse's triggers and Salesforce's actions are listed here as well.
Do I have to build a connector for Salesforce 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 Salesforce 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.