Langfuse MCP
Langfuse MCP server for accessing and analyzing telemetry data via natural language
Servidor MCP · de avivsinai
Resumo
Langfuse MCP é um servidor MCP publicado por avivsinai. Marketplaces que lemos e que o listam: 1 (Official MCP Registry). Vimos pela primeira vez em 2026-10-11 e não registramos mudanças desde então. Conforme nossa passagem pelos marketplaces em 2026-10-16.
O que pede
- Roda na sua máquina
- Segredos: 2
- Configurações: 4
Exige: LANGFUSE_PUBLIC_KEY (secreta), LANGFUSE_SECRET_KEY (secreta)
O que declara, pede e executa, por completo
Instale apenas plugins de desenvolvedores em quem você confia. Mostramos o que os marketplaces publicam e não testamos plugins.
Pacote
PyPI langfuse-mcp (langfuse-mcp no PyPI)
- Downloads do PyPI por semana: 2 355 (2026-10-13)
- Downloads do PyPI por mês: 8 895 (2026-10-13)
- Última versão no PyPI: 0.13.0, publicada em 2026-10-11
Nenhuma vulnerabilidade conhecida no OSV para 0.13.0 (verificado em 2026-10-14)
Os dados do PyPI vêm do pypi.org e os downloads do PyPI do pypistats.org. Cada número é do próprio registro e nunca é somado a outro. Um registro que não publica um número não mostra nenhum: sem número não é zero. Os registros de vulnerabilidades vêm do OSV.dev (CC BY 4.0) e dizem respeito apenas à versão declarada; uma listagem sem versão declarada não recebe resposta. Não analisamos código.
Funciona com
- Claude Code
- Codex
- Cursor
- VS Code
- Copilot CLI
Pelos marketplaces que o listam e pelo transporte MCP que declara, conforme cada cliente documenta. Não testamos plugins.
Conectar
Comandos e configurações gerados apenas a partir do que os marketplaces declaram. Não os executamos por você e não testamos plugins.
Como servidor MCP local: pacote PyPI
Gerado a partir do que Official MCP Registry declara.
claude mcp add --env "LANGFUSE_PUBLIC_KEY=<YOUR_LANGFUSE_PUBLIC_KEY>" --env "LANGFUSE_SECRET_KEY=<YOUR_LANGFUSE_SECRET_KEY>" --transport stdio langfuse-mcp -- uvx langfuse-mcp
[mcp_servers.langfuse-mcp]
command = "uvx"
args = ["langfuse-mcp"]
[mcp_servers.langfuse-mcp.env]
LANGFUSE_PUBLIC_KEY = "<YOUR_LANGFUSE_PUBLIC_KEY>"
LANGFUSE_SECRET_KEY = "<YOUR_LANGFUSE_SECRET_KEY>"
{
"mcpServers": {
"langfuse-mcp": {
"command": "uvx",
"args": [
"langfuse-mcp"
],
"env": {
"LANGFUSE_PUBLIC_KEY": "<YOUR_LANGFUSE_PUBLIC_KEY>",
"LANGFUSE_SECRET_KEY": "<YOUR_LANGFUSE_SECRET_KEY>"
}
}
}
}
Substitua os valores entre sinais de menor e maior pelos seus. Mostramos os nomes das configurações, nunca valores.
Configurações opcionais que também indica: LANGFUSE_HOST, LANGFUSE_MCP_READ_ONLY.
Onde está publicado
| Marketplace | Status | Versão | Números | Verificado | Visto pela primeira vez |
|---|---|---|---|---|---|
| Official MCP Registry (Abrir o registro) | Listado | 0.13.0 | Downloads por mês (PyPI): 8 895 Downloads por semana (PyPI): 2 355 Forks (GitHub): 29 Estrelas (GitHub): 113 |
Sem marcação |
Cada número é do próprio marketplace e nunca é somado entre marketplaces. Um marketplace que não publica números não mostra nenhum: sem número não é zero.
O que mudou
Nada mudou neste plugin desde que começamos a acompanhá-lo.
Plugins semelhantes
Produtos cujos próprios nomes, descrições, ferramentas e skills são os mais próximos deste pelo significado, em todos os marketplaces que lemos. A proximidade é ordenada apenas dentro desta lista.
-
Structured observability for AI agents. Trace steps, decisions, and errors. MCP server + CLI viewer.
-
SigNoz MCP server: access metrics, traces, logs, alerts, and dashboards via AI assistants
-
Agent tracing, cost tracking, anomaly detection for LLM agents
-
AI agent observability for production traces, natural-language insights, and improvement loops.
-
Langfuse public API (Cloud and self-hosted): traces, prompts, datasets and gated writes.
-
okahu co.okahu.mcp-registry/okahu
Cloud hosted Okahu MCP server that helps you manage genAI trace data
-
MCP observability. Query live traffic, errors, duration, and alerts from your AI agent.
-
noveum ai.noveum/noveum
Trace, evaluate, and optimize your LLM, RAG, and agent apps with Noveum observability.
-
posthog-mcp-server io.github.friendlygeorge/posthog-mcp-server
MCP server for PostHog — product analytics for AI assistants. Query events, persons, insights, da...
-
Prometheus MCP server for AI agents: PromQL queries, alert explanations, series discovery.
Plugins semelhantes por marketplace
A mesma pergunta feita a cada marketplace separadamente: existe lá um equivalente deste plugin?
Listado em Claude Code: claude-plugins-community (5)
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
OpenTelemetry observability for Claude Code sessions. Captures tool calls, LLM invocations, token usage, and errors as OTel traces. Send telemetry to Dash0 or any…
-
Langfuse observability plugin for Claude Code — captures and exports traces, spans, and session telemetry from Claude Code to Langfuse for LLM monitoring, debugging, and evaluation
-
Claude Code plugin for Firetiger observability workflows and MCP-powered investigations.
-
Agent Trace Triage is a Claude Code plugin for developers building agentic AI systems (LangGraph, CrewAI, custom tool loops, MCP agents). When an agent run fails, stuck in a loop…
Listado em Claude Code: claude-plugins-official (5)
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
OpenTelemetry observability for Claude Code sessions. Captures tool calls, LLM invocations, token usage, and errors as OTel traces. Send telemetry to Dash0 or any…
-
Langfuse observability plugin for Claude Code — captures and exports traces, spans, and session telemetry from Claude Code to Langfuse for LLM monitoring, debugging, and evaluation
-
Hosted MCP server for AI-assisted Grafana Cloud observability — no local installation required.
-
Dynatrace observability skills: DQL query patterns, application and infrastructure monitoring, log analysis, problem investigation, and incident response workflows, with the…
Listado em Claude: knowledge-work-plugins (5)
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Hosted MCP server for AI-assisted Grafana Cloud observability — no local installation required.
-
Official SigNoz plugin for MCP setup, docs, queries, dashboards, and alerts
-
Use Datadog directly in Claude Code through a preconfigured Datadog MCP server. Query logs, metrics, traces, dashboards, and more through natural conversation. This plugin is in…
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
Listado em Codex: openai-curated (openai/plugins) (5)
-
Available for US1 customers only. Analyze, investigate, and act on your Datadog telemetry directly from ChatGPT using natural language. Ask questions about your production…
-
PostHog gives your AI agent direct access to your product analytics, feature flags, experiments, error tracking, surveys, logs, and LLM analytics. Ask questions about your data…
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Analyze Mixpanel data with the mixpanel_headless Python SDK and Codex skills.
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
Listado em Community GitHub marketplaces (5)
-
Dash0 Observability
OpenTelemetry observability for OpenAI Codex sessions. Captures prompts, tool calls, MCP calls, sub-agent activity, and token usage as OTel traces.
-
Dynatrace observability skills: DQL query patterns, application and infrastructure monitoring, log analysis, problem investigation, and incident response workflows, with the…
-
Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
Listado em Copilot CLI: github/awesome-copilot (5)
-
Use Datadog directly in Copilot / VS Code through a preconfigured Datadog MCP server. Query logs, metrics, traces, dashboards, and more through natural conversation.
-
Safe BLE diagnostics, evidence workflows, and guarded automation for AI agents.
-
See your local Copilot token usage by day, model, and session, and get tips to use it more efficiently.
-
Query Sumo Logic logs, alerts, dashboards, and SIEM insights directly from Copilot.
-
Visualizes live session AI-credit usage as a Pac-Man board with pellets, ghosts, fruit milestones, and game-over limits.
Listado em Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
-
model-apps
Build and deploy Power Apps generative pages for model-driven apps with specialist agents for planning, entity creation, and parallel code generation. Requires PAC CLI >= 2.7.0…
-
workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
Listado em Cursor: cursor/plugins (5)
-
Work with PostHog from chat: query product analytics and run SQL, manage feature flags and experiments, triage error tracking issues, and review session replays, surveys, and…
-
Inspect and manage feature gates, experiments, dynamic configs, and metrics.
-
Track AI visibility, sentiment, and citations.
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
Explore datasets and tables and run SQL queries.
Listado em Docker MCP Catalog (5)
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
MCP server providing Prometheus metrics access and PromQL query execution for AI assistants
-
Wayfound’s MCP server allows business users to govern, supervise, and improve AI Agents.
-
MCP server for Polar Signals Cloud continuous profiling platform, enabling AI assistants to analyze CPU performance, memory usage, and identify optimization opportunities in…
-
A unified MCP proxy that aggregates multiple MCP servers into one interface, enabling seamless tool discovery and management across all your AI interactions. Manage all your MCP…
Listado em Official MCP Registry (5)
-
Structured observability for AI agents. Trace steps, decisions, and errors. MCP server + CLI viewer.
-
SigNoz MCP server: access metrics, traces, logs, alerts, and dashboards via AI assistants
-
Agent tracing, cost tracking, anomaly detection for LLM agents
-
AI agent observability for production traces, natural-language insights, and improvement loops.
-
Langfuse public API (Cloud and self-hosted): traces, prompts, datasets and gated writes.
Encontrados pelo significado, não por código ou repositório em comum: plugins semelhantes continuam sendo produtos distintos, e isto não é uma avaliação nem uma recomendação.
Quer esta marca no seu plugin em nosso catálogo?
Prove que o mantém com um arquivo no repositório, um arquivo no seu domínio ou um registro DNS, e você poderá mostrar esta marca na ficha, com banners ao vivo para o seu site e o README. Como funciona a verificação
Você também recebe alertas quando um marketplace o publica, o remove, muda a marca de verificado ou o que ele pede, e o endpoint remoto passa a ser monitorado como um serviço web.
Dados de Official MCP Registry. Os números vêm das nossas próprias passagens regulares pelos marketplaces, última leitura em . Não publicamos dados de contato dos editores de plugins.