Integration
Connect Force Manager and Langfuse
When New account fires in Force Manager, your agent runs Add Comment in Langfuse, or New Trace in Langfuse to Add contact in Force Manager. 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 Force Manager and Langfuse to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiAny 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 Force Manager and Langfuse can do together
From Force Manager to Langfuse
When New account in Force Manager
then Add Comment in Langfuse
When New contact in Force Manager
then Add Dataset Item in Langfuse
From Langfuse to Force Manager
When New Trace in Langfuse
then Add contact in Force Manager
When New Trace in Langfuse
then Add sales order in Force Manager
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 Force Manager and Langfuse
Triggers and actions 4 triggers · 38 actions
Trigger
New accountFires on new account.
Trigger
New contactFires on new contact.
Trigger
New opportunityFires on new opportunity.
Action
Add accountCreate an account.
Action
Add activityCreate an activity.
Action
Add callLog a call.
Action
Add contactCreate a contact.
Action
Add opportunityCreate an opportunity.
Action
Add productCreate a product.
Action
Add sales orderCreate an order header.
Action
Delete accountDelete an account.
Action
Delete contactDelete a contact.
Action
Delete opportunityDelete an opportunity.
Action
Get accountGet account by ID.
Action
Get callReturns one call record by id.
Action
Get contactGet contact by ID.
Action
Get opportunityGet opportunity by ID.
Action
List accountsList accounts, paginated.
Action
List activitiesList activities.
Action
List contactsList contacts, paginated.
Action
List opportunitiesList opportunities.
Action
List productsList products.
Action
List sales ordersList order headers.
Action
Update accountPartial update of an account.
Action
Update activityUpdate an activity.
Action
Update contactUpdate a contact.
Action
Update opportunityUpdate an opportunity.
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
Force Manager and Langfuse, answered
What can start an automation from Force Manager?
Any of Force Manager's 3 triggers in the catalog, including New account, New contact and New opportunity. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Langfuse when something happens in Force Manager?
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 Force Manager?
Yes. When something happens in Langfuse, your agent can act in Force Manager too. This page covers both directions: Langfuse's triggers and Force Manager's actions are listed here as well.
Do I have to build a connector for Force Manager 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.
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.