How to integrate Langfuse MCP with OpenClaw

OpenClaw is the fastest growing agent harness out there, which can work 24/7 to automate almost any kind of tasks. However, its capabilities are limited to the tools it has access to. Composio allows your OpenClaw to access Langfuse with authentication management handled for you. You can execute actions on Langfuse via your favorite OpenClaw interface (Telegram, WhatsApp, TUI, etc), whichever you prefer.

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Api Key

Langfuse is an open source LLM engineering platform for traces, evals, prompt management, and metrics. It helps teams debug, monitor, and improve LLM applications with clear observability data.

10 Tools

Introduction

OpenClaw is the fastest growing agent harness out there, which can work 24/7 to automate almost any kind of tasks. However, its capabilities are limited to the tools it has access to. Composio allows your OpenClaw to access Langfuse with authentication management handled for you. You can execute actions on Langfuse via your favorite OpenClaw interface (Telegram, WhatsApp, TUI, etc), whichever you prefer.

Also integrate Langfuse with

Why use Composio?

Apart from a managed and hosted MCP server, you will get:

  • Programmatic tool calling allows LLMs to write its code in a remote workbench to handle complex tool chaining. Reduces to-and-fro with LLMs for frequent tool calling.
  • Handling Large tool responses out of LLM context to minimize context rot.
  • Dynamic just-in-time access to 20,000 tools across 1000+ other Apps for cross-app workflows. It loads the tools you need, so LLMs aren't overwhelmed by tools you don't need.

How to install Langfuse with OpenClaw

Using Composio API Key and Setup Prompt

Copy the setup prompt from the OpenClaw dashboard
  • Run it in your OpenClaw chat interface.
  • Authenticate Langfuse from the dashboard
  • Go back to your OpenClaw interface and start asking questions.

Using OpenClaw/Composio Plugin

1. Install OpenClaw Composio plugin

bash
openclaw plugins install @composio/openclaw-plugin

2. Copy the API Key from dashboard.composio.dev

3. Setup OpenClaw Config

bash
openclaw config set plugins.entries.composio.config.consumerKey "ck_your_key_here"

4. Restart OpenClaw

bash
openclaw gateway restart

5. Go to your chat interface and start asking questions.

6. When prompted, authenticate the app and you're all set.

How It Works

The plugin connects to Composio's MCP server at https://connect.composio.dev/mcp and registers all available tools directly into the OpenClaw agent. Tools are called by name — no extra search or execute steps needed.

If a tool returns an auth error, the agent will prompt you to connect that toolkit at dashboard.composio.dev.

Configuration

bash
{
  "plugins": {
    "entries": {
      "composio": {
        "enabled": true,
        "config": {
          "consumerKey": "ck_your_key_here"
        }
      }
    }
  }
}
OptionDescriptionDefault
enabledEnable or disable the plugintrue
consumerKeyYour Composio consumer key (ck_...)—
mcpUrlMCP server URL (advanced)https://connect.composio.dev/mcp

What is the Langfuse MCP server, and what's possible with it?

The Langfuse MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Langfuse account. It provides structured and secure access to your prompts, traces, evaluations, datasets, experiments, and metrics, so your agent can retrieve prompts, inspect observations, review scores, explore datasets, and analyze performance on your behalf.

  • Prompt retrieval: Have your agent fetch text or chat prompts by name, deployment label, or version, with related prompt dependencies when needed.
  • Trace and observation analysis: Instruct your agent to search generations, spans, events, agent activity, and tool calls to investigate application behavior.
  • Evaluation score management: Let the agent review existing evaluation results or attach new scores to traces, sessions, dataset runs, and specific observations.
  • Dataset and experiment review: Direct your agent to explore available datasets and their items, then review experiments from a chosen time range with metadata and scores.
  • Metrics and evaluation resources: Have your agent query aggregate performance metrics, inspect model pricing definitions, and list annotation queues used for human evaluation.

Conclusion

You've successfully integrated Langfuse with OpenClaw using Composio plugin. Now interact with Langfuse directly from your terminal, Web UI, or any messenger app using natural language commands.

Key benefits of this setup:

  • Seamless integration across TUI, Web UIs, and Messenger apps like Telegram, WhatsApp, Slack, etc.
  • Natural language commands for Langfuse operations
  • Managed authentication through Composio
  • Access to 20,000+ tools across 1000+ apps for cross-app workflows
  • Programmatic tool calling for complex tool chaining

Next steps:

  • Try asking OpenClaw to perform various Langfuse operations
  • Explore cross-app workflows by connecting more toolkits like Calendar, Slack, Notion, etc.
  • Build complex automation scripts that leverage OpenClaw's 24/7 running capabilities
TOOLS

Supported Tools

Every Langfuse action and event your agent gets out of the box.

Create Score

Attach an evaluation score to exactly one Langfuse trace, session, or dataset run, optionally narrowing a trace score to an observation.

Get Prompt

Retrieve a Langfuse text or chat prompt by name, deployment label, or exact version, with optional dependency resolution.

List Annotation Queues

List annotation queues configured for human evaluation in the connected Langfuse project.

List Dataset Items

List dataset items, optionally scoped to a dataset, source trace or observation, or historical dataset version.

List Datasets

List datasets available to the connected Langfuse project.

List Experiments

List Langfuse experiments active in a required time range, optionally including metadata and directly attached scores.

List Models

List Langfuse-managed and project-custom model pricing definitions used for usage and cost calculation.

List Observations

Search Langfuse observations such as generations, spans, events, agents, and tool calls, selecting only the field groups needed.

List Scores

Search numeric, boolean, categorical, text, and correction scores with subject and annotation context.

Query Metrics

Run an aggregate Langfuse metrics query over observations or numeric, boolean, or categorical scores.

FAQ

Frequently asked questions

With a standalone Langfuse MCP server, the agents and LLMs can only access a fixed set of Langfuse tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Langfuse and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. OpenClaw fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Langfuse tools.

Yes, absolutely. You can configure which Langfuse scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Langfuse data and credentials are handled as safely as possible.

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