com.pulsemcp/langfuse

MCP server for Langfuse LLM observability — trace and observation analysis.

67 0 tools GitHub

No known CVEs

No license

Actively maintained

Last commit 1d ago

Works with most clients

Transport: stdio

0 tools

Grade F

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AI / ML Analytics

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "com-pulsemcp-langfuse": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

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[![MCPpedia Score](https://mcppedia.org/api/badge/com-pulsemcp-langfuse)](https://mcppedia.org/s/com-pulsemcp-langfuse)

Read me

What com.pulsemcp/langfuse does

MCP server for Langfuse LLM observability — trace and observation analysis.

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

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Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

32/100across 5 weighted dimensions

How we score →

0255075100

−68

Security

Maintenance

Efficiency

Documentation

Compatibility

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Security

OSV.dev

No known CVEs.

No package registry to scan.

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How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is com.pulsemcp/langfuse safe to use?: com.pulsemcp/langfuse has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install com.pulsemcp/langfuse?: com.pulsemcp/langfuse can be installed by cloning its GitHub repository and following the setup instructions in the README.
What AI clients work with com.pulsemcp/langfuse?: com.pulsemcp/langfuse is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.
Is com.pulsemcp/langfuse actively maintained?: com.pulsemcp/langfuse is actively maintained — last commit was 1 day ago. It has 67 GitHub stars.

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Community

Discussion

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Has anyone used this with Cursor?How do you handle auth?Any alternatives?

Design principles

You can have confidence that any Pulse-branded MCP server was built with these north stars in mind:

Purpose-built. LLM-powered MCP clients offer uniquely new user interaction patterns that necessitate a different layer of abstraction than the REST API's from a pre-AI era. We thoughtfully scope drawing lines like building a new server, versus incorporating a new feature in another server. Or deciding where one slew of REST API endpoints might be better packaged as a single Tool call. And more.

Easy set up. Many MCP servers die before ever getting a chance to be used. We offer guides and a frustration-free experience to get going with our MCP servers inside your favorite MCP clients.

Time savings. By minimizing the number of tool chain steps or conversational turns you need to accomplish a task, our MCP servers will save you (and your agents) time waiting for a task to be completed.

Inference cost savings. By minimizing the number of tokens you need to consume to a accomplish a task, our MCP servers will save you on your LLM inference bills.

Reliability. You should have confidence that you can deploy our servers in a production application serving mass market consumers or business clients.

Future-proof. We sit on the bleeding edge of the MCP specification, working to push the ecosystem forward. As such, you can be sure that if you commit to baking our server into your workflow, it will self-improve over time to take advantage of the latest and greatest MCP features.

Servers Available

Productionized Servers

These are PulseMCP-branded servers that we intend to maintain indefinitely as our own offerings.

The MCP Registry column controls whether the server is published to the official MCP Registry (com.pulsemcp/<server-name>) by the publish-mcp-registry.yml workflow.

Name	Description	Local Status	Remote Status	MCP Registry	Target Audience	Notes
pulse-fetch	Pull internet resources into context	0.3.2	Not Started	Yes	Agent-building frameworks (e.g. fast-agent, Mastra, PydanticAI) and MCP clients without built-in fetch	Supports Firecrawl and BrightData integrations; HTML noise stripping; Resource caching; LLM extraction
pulse-subregistry	Browse the PulseMCP Sub-Registry	0.0.7	Not Started	Yes	Developers discovering MCP servers from the PulseMCP Sub-Registry	Search and pagination; Version selection; Integrates with PulseMCP Sub-Registry API
image-diff	Programmatic image comparison	0.1.2	Not Started	Yes	Developers comparing design mocks against UI implementations	Pixel-level diff with clustering; Heatmap visualization; Anti-aliasing detection; Auto-alignment for different-sized images
svg-tracer	Bitmap-to-SVG vect

Name

Description

Local Status

Remote Status

MCP Registry

Target Audience

Notes

pulse-fetch

Pull internet resources into context

0.3.2

Not Started

Yes

Agent-building frameworks (e.g. fast-agent, Mastra, PydanticAI) and MCP clients without built-in fetch

Supports Firecrawl and BrightData integrations; HTML noise stripping; Resource caching; LLM extraction

pulse-subregistry

Browse the PulseMCP Sub-Registry

0.0.7

Not Started

Yes

Developers discovering MCP servers from the PulseMCP Sub-Registry

Search and pagination; Version selection; Integrates with PulseMCP Sub-Registry API

image-diff

Programmatic image comparison

0.1.2

Not Started

Yes

Developers comparing design mocks against UI implementations

Pixel-level diff with clustering; Heatmap visualization; Anti-aliasing detection; Auto-alignment for different-sized images

svg-tracer

Bitmap-to-SVG vect

Frequently Asked Questions

Is com.pulsemcp/langfuse safe to use?

com.pulsemcp/langfuse has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install com.pulsemcp/langfuse?

com.pulsemcp/langfuse can be installed by cloning its GitHub repository and following the setup instructions in the README.

What AI clients work with com.pulsemcp/langfuse?

com.pulsemcp/langfuse is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.

Is com.pulsemcp/langfuse actively maintained?

com.pulsemcp/langfuse is actively maintained — last commit was 1 day ago. It has 67 GitHub stars.

Design principles

You can have confidence that any Pulse-branded MCP server was built with these north stars in mind:

Easy set up. Many MCP servers die before ever getting a chance to be used. We offer guides and a frustration-free experience to get going with our MCP servers inside your favorite MCP clients.

Inference cost savings. By minimizing the number of tokens you need to consume to a accomplish a task, our MCP servers will save you on your LLM inference bills.

Reliability. You should have confidence that you can deploy our servers in a production application serving mass market consumers or business clients.

Servers Available

Productionized Servers

These are PulseMCP-branded servers that we intend to maintain indefinitely as our own offerings.

The MCP Registry column controls whether the server is published to the official MCP Registry (com.pulsemcp/<server-name>) by the publish-mcp-registry.yml workflow.

Name	Description	Local Status	Remote Status	MCP Registry	Target Audience	Notes
pulse-fetch	Pull internet resources into context	0.3.2	Not Started	Yes	Agent-building frameworks (e.g. fast-agent, Mastra, PydanticAI) and MCP clients without built-in fetch	Supports Firecrawl and BrightData integrations; HTML noise stripping; Resource caching; LLM extraction
pulse-subregistry	Browse the PulseMCP Sub-Registry	0.0.7	Not Started	Yes	Developers discovering MCP servers from the PulseMCP Sub-Registry	Search and pagination; Version selection; Integrates with PulseMCP Sub-Registry API
image-diff	Programmatic image comparison	0.1.2	Not Started	Yes	Developers comparing design mocks against UI implementations	Pixel-level diff with clustering; Heatmap visualization; Anti-aliasing detection; Auto-alignment for different-sized images
svg-tracer	Bitmap-to-SVG vect

Name

Description

Local Status

Remote Status

MCP Registry

Target Audience

Notes

pulse-fetch

Pull internet resources into context

0.3.2

Not Started

Yes

Agent-building frameworks (e.g. fast-agent, Mastra, PydanticAI) and MCP clients without built-in fetch

Supports Firecrawl and BrightData integrations; HTML noise stripping; Resource caching; LLM extraction

pulse-subregistry

Browse the PulseMCP Sub-Registry

0.0.7

Not Started

Yes

Developers discovering MCP servers from the PulseMCP Sub-Registry

Search and pagination; Version selection; Integrates with PulseMCP Sub-Registry API

image-diff

Programmatic image comparison

0.1.2

Not Started

Yes

Developers comparing design mocks against UI implementations

Pixel-level diff with clustering; Heatmap visualization; Anti-aliasing detection; Auto-alignment for different-sized images

svg-tracer

Bitmap-to-SVG vect

com.pulsemcp/langfuse

Install in your client