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langfuse-mcp

A Model Context Protocol (MCP) server for Langfuse, enabling AI agents to query Langfuse trace data for enhanced debugging and observability

operonx

Workflow engine where ops can yield — same async DAG handles batch jobs and event-driven streaming pipelines (pipecat-style callbot, STT → LLM → TTS). Python frontend, drop-in Rust runtime; 2–3× faster on chains, 10–30× on production workloads. LLMs, agents, RAG, native compute as first-class ops.

shekel

LLM budget control and cost governance for AI agents. Python library for token budgets, usage limits and guardrails for OpenAI, Anthropic, LangChain, LangGraph and agentic systems.

robotrace

Robot observability SDK — install robotrace-sdk instead. This is a convenience redirect.

iflow-mcp-avivsinai-langfuse-mcp

Langfuse MCP server for accessing and analyzing telemetry data via natural language

iflow-mcp-flyaibox-weather

MCP天气服务器 - 基于Model Context Protocol的天气信息查询服务