Integration
Connect Langfuse to Azure Cosmos Db
When New Trace fires in Langfuse, your agent runs Create Document in Azure Cosmos Db. 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 Azure Cosmos Db 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 Azure Cosmos Db
When New Trace in Langfuse
then Create Document in Azure Cosmos Db
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 Azure Cosmos Db
Triggers and actions 1 trigger · 28 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).
- Create Container
Creates a new container in a Cosmos DB database, partitioned on the property you choose.
- Create Database
Creates a new database in the Azure Cosmos DB account, optionally with shared provisioned throughput.
- Create Document
Creates a new document in a Cosmos DB container, or replaces an existing one with the same id when upsert is on.
- Delete Container
Deletes a container, and every document in it, from a Cosmos DB database.
- Delete Database
Deletes a database, and every container and document in it, from the Azure Cosmos DB account.
- Delete Document
Deletes one document from a Cosmos DB container.
- Get Container
Returns one container in a Cosmos DB database, including its partition key and indexing policy.
- Get Database
Returns one database in the Azure Cosmos DB account by its name.
- Get Document
Returns one document from a Cosmos DB container by its id and partition key.
- List Containers
Returns every container in a Cosmos DB database.
- List Databases
Returns every database in the Azure Cosmos DB account.
- List Documents
Returns the documents in a Cosmos DB container.
- Query Documents
Runs a Cosmos DB SQL query against a container and returns the matching documents.
- Replace Document
Replaces the whole body of an existing document in a Cosmos DB container.
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
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Questions
Langfuse and Azure Cosmos Db, 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 Azure Cosmos Db when something happens in Langfuse?
Any of Azure Cosmos Db's 14 actions, including Create Container, Create Database, Create Document and Get Container. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Azure Cosmos Db to Langfuse?
Azure Cosmos Db has no triggers in the catalog today, so automations start in Langfuse. If you need the other direction, ask: your agent reads Azure Cosmos Db's API documentation and adds it.
Do I have to build a connector for Langfuse or Azure Cosmos Db?
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 Azure Cosmos Db 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.