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Glama
KarandeepSinghSodhi

Langfuse Trace Fetcher

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": true
}
logging
{}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
extensions
{
  "io.modelcontextprotocol/ui": {}
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
fetch_langfuse_tracesB

Fetch a filtered list of traces from a Langfuse instance.

Connects to the specified Langfuse host using the provided credentials and returns matching traces formatted as readable context.

get_langfuse_trace_detailA

Fetch full detail for a single Langfuse trace by its ID.

Returns the complete trace including input/output data, observations (spans, generations), scores, and metadata.

list_langfuse_trace_filtersA

List all available filter fields for fetching Langfuse traces.

This is a help/reference tool — it does not make any API calls. Use these filter names as parameters when calling fetch_langfuse_traces.

Returns: A formatted reference table of available filters.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A4.2/5.0

Scored across 3 tools

Disambiguation5/5

Each tool serves a distinct purpose: fetching a filtered list of traces, retrieving full detail for a specific trace, and listing available filter fields. There is no functional overlap.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern (fetch_langfuse_traces, get_langfuse_trace_detail, list_langfuse_trace_filters) with snake_case, making the naming predictable and clear.

Tool Count5/5

With 3 tools, the set is well-scoped for a trace fetching server: listing with filters, getting detail, and a reference tool for filters. No extraneous or missing tools.

Completeness5/5

For a 'Trace Fetcher', the tools cover the core workflow: querying traces with filters, retrieving individual details, and discovering available filters. No essential operations are missing.

Maintenance

ActivityInactive
ResponsivenessNo issues