Build solutions, not workarounds.
What do you want Langfuse and Vectara 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 Langfuse can start in Vectara
When New Trace in Langfuse
then Add corpus in Vectara
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 Vectara
Triggers and actions 1 trigger · 23 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.
- Add corpus
Creates a corpus (container for documents).
- Add document
Adds a document to a Vectara corpus for indexing, either as a structured document (sections the platform chunks automatically) or a core document (explicit document parts).
- Delete corpus
Permanently deletes a Vectara corpus and all of its documents and data. The corpus key is released and can be reused.
- Delete document
Deletes a document from a corpus.
- Find documents by criteria
Returns up to 100 documents in a corpus whose document metadata matches the specified filter expression.
- Get corpus
Retrieves the settings and usage of a corpus by its key, without searching its contents.
- Get document
Retrieves a document from a Vectara corpus, including its text parts, metadata, tables and images.
- List corpora
Lists the corpora in the Vectara account, optionally filtered by name/summary or corpus ID.
- List documents
Lists documents in a corpus.
- Query corpus
Queries a corpus with full control over retrieval, hybrid search, reranking, and RAG generation.
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 Vectara, 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 Vectara when something happens in Langfuse?
Any of Vectara's 10 actions, including Add corpus, Add document, Find documents by criteria and Get corpus. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Vectara to Langfuse?
Vectara has no triggers in the catalog today, so automations start in Langfuse. If you need the other direction, ask: your agent reads Vectara's API documentation and adds it.
Do I have to build a connector for Langfuse or Vectara?
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.