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Langfuse MCP connector

The Langfuse connector brings your datasets, annotation queues, comments and review assignments into Claude, ChatGPT, Cursor and the Elaichi Agent, so your team can ask about them, add to them and tidy them in plain language.

  • How it connects. Connects with an API key. The credential goes into a vault nobody reads back.

  • One address. https://api.elaichi.ai/mcp, the same for every user.

  • Their own access. An agent never gets more than the person it acts for.

How to connect

How to connect Langfuse to Claude, ChatGPT or Cursor

Two steps, about a minute.

1

In Elaichi

Connect Langfuse once

  1. Open Connections, choose Add connection, and pick Langfuse.

  2. Optionally set Share with to give a team access, then press Connect.

  3. Paste a Langfuse API key. One person generates a token in Langfuse and pastes it once. Everyone else works through Share with, and never sees it.

The credential is vaulted. Nobody reads it back, not even the AI.

Add connection

Choose a connector.

langfuse
Langfuse
Allium
Amplitude
Artie
Botify
DoiT
2

In your AI client

Point it at one endpoint

Everyone in the organization uses the same address, and each person only ever reaches what their own account allows.

Connect Langfuse to Claude

  1. 1

    Open Customize, then Connectors.

  2. 2

    Press Add.

  3. 3

    Name it, paste the MCP server URL, then Continue.

    https://api.elaichi.ai/mcp
  4. 4

    Sign in and approve.

On Team and Enterprise, an Owner adds it once. Everyone else turns it on for themselves.

Connect Langfuse to ChatGPT

  1. 1

    Open Plugins, then press the + button.

  2. 2

    Name it and paste the endpoint into Server URL.

    https://api.elaichi.ai/mcp
  3. 3

    Leave Authentication on OAuth, then tick the risk acknowledgement.

  4. 4

    Press Create, then sign in and approve.

Works on the web today. The plugin directory lives at chatgpt.com/plugins.

Connect Langfuse to Cursor

  1. 1

    Open ~/.cursor/mcp.json.

  2. 2

    Add the endpoint under mcpServers.

    https://api.elaichi.ai/mcp
  3. 3

    Reload Cursor, then sign in and approve.

~/.cursor/mcp.json

{
  "mcpServers": {
    "elaichi": {
      "url": "https://api.elaichi.ai/mcp"
    }
  }
}

Set up per machine, so repeat it on each computer you work from.

Connect Langfuse to any MCP client

  1. 1

    Add the endpoint as a remote MCP server.

    https://api.elaichi.ai/mcp
  2. 2

    Sign in and approve.

{
  "mcpServers": {
    "elaichi": {
      "url": "https://api.elaichi.ai/mcp"
    }
  }
}

The Elaichi Agent already has these tools, with nothing to set up.

Use cases

What teams do with Langfuse through Elaichi

Every one of these runs inside the access the person already has, and lands in the same audit log.

  • AI engineering

    Turn a real conversation into a test case

    After spotting a bad answer in production, add it to a Langfuse dataset as a new item with the expected output, without leaving the chat where you found it.

  • Quality

    Queue outputs for human review

    Create a Langfuse annotation queue for this week's release, add the traces that need eyes on them, and assign each reviewer their share.

  • Product

    Check what is waiting for review

    Ask how many items are still open in a Langfuse annotation queue and who they are assigned to before the weekly quality meeting.

  • Data

    Record how an evaluation run went

    Log dataset run items in Langfuse as a batch of test cases finishes, so every run is tied back to the dataset it came from.

  • Research

    Leave notes on traces for the team

    Add a comment to a Langfuse trace or observation explaining why the output was wrong, so the next person reading it has context.

  • Operations

    Clean up finished review work

    Mark reviewed Langfuse queue items as done, remove stale assignments in bulk, and retire dataset items that no longer reflect the product.

Try asking

  • “List open annotation queue items assigned to the eval team”
  • “Create an annotation queue for last week's flagged traces”
  • “Which blob storage integrations are configured in Langfuse?”

See all 100 Langfuse tools below

AI tools

Langfuse tools for your AI agents

100 tools are ready to call through Elaichi's MCP endpoint the moment you connect Langfuse, governed by the same roles, restrictions, and audit log as everything else in Elaichi.

See it in Elaichi

What connecting Langfuse gets you

6 screens from the product, each doing one job for your Langfuse account.

The agent

Ask about annotation queues in plain language.

Elaichi's agent answers from live Langfuse queues, items and assignments.

  • annotation queues
  • queue items
  • assignments
  • blob storages

Ask Elaichi to work across your apps.

List open annotation queue items assigned to the eval team

Create an annotation queue for last week's flagged traces

Which blob storage integrations are configured in Langfuse?

Also runs in Claude, ChatGPT or Cursor

MCP clients

Claude, ChatGPT and Cursor reach Langfuse.

One org MCP endpoint over OAuth, no SDK and no shared API key.

ElaichiMCP clients
Claude ChatGPT Cursor

Copy the endpoint

https://api.elaichi.ai/mcp
Client Connected by Status Last used
Claude
E

Emma Laurent

• Connected 4 minutes ago
Cursor
S

Sofia Ricci

• Connected 2 hours ago
ChatGPT
C

Clara Nowak

• Connected Yesterday

Tool catalog

100 Langfuse tools ready to call.

Queues, queue items, assignments and blob storages, with no custom code written.

  • List all Langfuse public annotation queues
  • Create a Langfuse public annotation queue
  • Get single Langfuse public annotation queue by ID
  • List all Langfuse annotation queue items
ElaichiTools
Tool Action Description
List all Langfuse public annotation queues List List all annotation queues in Langfuse. Returns a list of queues, each with id and upstream-defined fields in attributes. Truto handles pagination.
Create a Langfuse public annotation queue Create Create an annotation queue in Langfuse. Returns the created queue with id. Requires a JSON request body. Required: name, scoreConfigIds.
Get single Langfuse public annotation queue by ID Get Get a single Langfuse annotation queue by id. Returns the queue with id. Required: id.
List all Langfuse annotation queue items List List items in a langfuse annotation queue. Returns each item's id and upstream-defined fields. Optional: status. Required: queue_id.
Create a Langfuse annotation queue item Create Add an item to a langfuse annotation queue. Returns the created item with its id and upstream-defined fields. Required: queue_id, objectId, objectType.

Toolboxes

Every team gets its own Langfuse toolbox.

Curate one toolbox for evaluation, another for platform, each scoped to that team.

  • Evaluation
  • ML Engineering
  • Platform
  • Data Science
ElaichiToolboxes
Name Source template Tools Created

Evaluation toolbox

Langfuse · annotation queues and scores

Langfuse starter 18 Mar 4, 2026

ML Engineering toolbox

Langfuse · traces and queue items

9 Mar 2, 2026

Platform toolbox

Langfuse · blob storage integrations

24 Feb 27, 2026

Data Science toolbox

Langfuse · datasets and queue assignments

Langfuse starter 6 Feb 19, 2026

Support toolbox

Langfuse · flagged sessions and reviews

31 Jan 30, 2026

Product Analytics toolbox

Langfuse · queue throughput reporting

12 Jan 22, 2026

Shared connections

Teammates use Langfuse without seeing a key.

The connections table shows who connected each Langfuse account and its sharing reach.

  • Eval Prod
  • ML Engineering
  • Platform
  • Data Science
ElaichiConnections
Connection Scope Status Access
LA

Langfuse (Eval Prod)

Connected by Emma Laurent

Personal • Active 1 team · 6 members
LA

Langfuse (ML Engineering)

Connected by James Whitfield

Organization • Active 3 teams · 24 members
LA

Langfuse (Platform)

Connected by Sofia Ricci

Organization • Active 2 teams · 11 members
LA

Langfuse (Data Science)

Connected by Daniel Ortega

Personal • Needs re-auth 1 team · 3 members
LA

Langfuse (Support Reviews)

Connected by Clara Nowak

Personal • Active Not shared
LA

Langfuse (Staging)

Connected by Michael Brennan

Personal • Active 2 teams · 9 members

Audit log

Answer who touched which queue item.

Append-only log of when, who, what happened, type and Langfuse resource.

  • When
  • Who
  • What happened
  • Type
ElaichiAudit log
When Who What happened Type

2 minutes ago

Mar 6, 2026, 3:10 PM

E

Emma Laurent

[email protected]

Restriction Created Access

8 minutes ago

Mar 6, 2026, 3:04 PM

J

James Whitfield

[email protected]

Restriction Updated Access

14 minutes ago

Mar 6, 2026, 2:58 PM

S

Sofia Ricci

[email protected]

Role Assigned Access

20 minutes ago

Mar 6, 2026, 2:52 PM

D

Daniel Ortega

[email protected]

Langfuse Users Updated MCP

26 minutes ago

Mar 6, 2026, 2:46 PM

C

Clara Nowak

[email protected]

Langfuse Annotation queues Created MCP

32 minutes ago

Mar 6, 2026, 2:40 PM

M

Michael Brennan

[email protected]

Langfuse Annotation queues List Toolbox

Launching soon

From answering questions to doing the work

A person no longer has to ask. A trigger starts the work, inside the same permissions and the same audit log as everything else. Automations and live dashboards are launching soon, on the Black plan.

Automations

A schedule drafts your Langfuse digest.

Six steps fetch queue items, group them, draft, wait for approval, then post back.

Langfuse digest

Run 418 · started 2 minutes ago · on behalf of Emma Laurent

  1. Schedule

    Every weekday at 08:00

    0.2s
  2. Fetch annotation queues

    Langfuse

    1.4s
  3. Group by owner

    Transform

    0.1s
  4. Draft the digest

    Agent step

    Ran with 4 tools, returned a structured summary

    6.2s
  5. Approve the digest

    Needs approval

    Assigned to Michael Brennan

    Approve
  6. Post the digest

    Langfuse

    Queued

Collections and dashboards

Langfuse queue health, computed on a schedule.

Four metrics, 14 days of items created, and a breakdown by team.

Langfuse health

Refreshed 4 minutes ago · every 15 minutes · from the annotation queues collection

Live

Annotation queues

1,284 ↓ 12%

Queue items

96 ↓ 8%

Needs attention

3 ↑ 2

Updated this week

412 ↑ 9%

Annotation queues created

Last 14 days

By team

Share of activity

Eval Prod 34%

ML Engineering 27%

Platform 21%

Data Science 18%

FAQ

Frequently asked questions

How do I connect Langfuse to Claude?

Connect Langfuse in Elaichi by pasting an API key from your Langfuse project settings. There is no OAuth application to register and no client ID or secret to generate. Then in Claude go to Customize, then Connectors, then Add, and paste https://api.elaichi.ai/mcp. Sign in with your Elaichi account and Langfuse is available in the chat.

Does Langfuse work with ChatGPT and Cursor as well as Claude?

Yes. Once Langfuse is connected in Elaichi, the same endpoint, https://api.elaichi.ai/mcp, works in Claude, ChatGPT, Cursor, any other MCP client and the Elaichi Agent. You connect Langfuse once and every client picks it up.

What can an AI agent actually do with my Langfuse data?

With Langfuse connected, an agent can list your datasets and pull up individual dataset items, add new items and dataset run items, create annotation queues, add items to them and assign reviewers, and read or leave comments on traces. Because Langfuse exposes a lot of actions, the agent looks them up as needed, so short concrete asks like "add this to the regression dataset" work better than long paragraphs.

Does connecting Langfuse give the AI access to every project?

No. The connection runs inside whatever the Langfuse API key you pasted can already see, typically one project, and the agent gets nothing beyond that. Elaichi can narrow access further, for example read only on datasets, but it can never widen what Langfuse itself allows.

Can my team share one Langfuse connection?

Yes. One person connects Langfuse in Elaichi and shares it with a team, and nobody else ever handles the API key. Each teammate still signs in to Elaichi as themselves, so the audit log records exactly who added a dataset item or assigned a review, not just that the shared connection did.

Can I stop an agent from deleting or changing things in Langfuse?

Yes. Restrictions in Elaichi work per action, so you can allow reading Langfuse datasets and queues while blocking deletes of dataset items, queue items or assignments. A blocked action is never shown to Claude, ChatGPT, Cursor or any other client, so no prompt can reach it.

What happens to a Langfuse connection when someone leaves?

When a person is offboarded in Elaichi, their access to Langfuse through every client ends at once. A Langfuse connection they shared keeps working for everyone else on the team. If you want to remove Langfuse entirely, disconnecting it once in Elaichi removes it from Claude, ChatGPT, Cursor and the Elaichi Agent together.

Put Langfuse in front of your team

Fourteen days on Gold, no credit card. Connect it once and pick what each team can call.