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Add ShekharBhardwaj/AgenticLedger to Monitoring

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Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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2026-07-26 16:53:53 -04:00
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@@ -2616,6 +2616,7 @@ Access and analyze application monitoring data. Enables AI models to review erro
- [log-logn/langfuse-mcp-java](https://github.com/Log-LogN/langfuse-mcp-java) [![langfuse-mcp-java MCP server](https://glama.ai/mcp/servers/Log-LogN/langfuse-mcp-java/badges/score.svg)](https://glama.ai/mcp/servers/Log-LogN/langfuse-mcp-java) ☕ ☁️ - Query Langfuse traces, debug exceptions, analyze sessions, scores, datasets, schema, observations and manage prompts. Full observability toolkit for LLM applications. (https://github.com/langfuse/langfuse)
- [mikusnuz/umami-mcp](https://github.com/mikusnuz/umami-mcp) [![mikusnuz/umami-mcp MCP server](https://glama.ai/mcp/servers/mikusnuz/umami-mcp/badges/score.svg)](https://glama.ai/mcp/servers/mikusnuz/umami-mcp) 📇 ☁️ - Full-coverage MCP server for Umami Analytics API v2 — 66 tools for websites, stats, sessions, events, reports, users, teams, and realtime monitoring.
- [perceptdot/percept](https://github.com/perceptdot/percept) [![perceptdot/percept MCP server](https://glama.ai/mcp/servers/perceptdot/percept/badges/score.svg)](https://glama.ai/mcp/servers/perceptdot/percept) 📇 ☁️ 🏠 - AI-powered observability platform for agents. Auto-discovers and recommends MCP servers; built-in connectors for GA4, Vercel, GitHub, and Sentry with ROI tracking. `npx -y @perceptdot/core`
- [ShekharBhardwaj/AgenticLedger](https://github.com/ShekharBhardwaj/AgenticLedger) 🐍 🏠 🍎 🪟 🐧 - Agents query their own ledger: sessions, costs, loop runs, and stuck-loop flags captured by the Agentic Ledger transparent-proxy flight recorder (local-first, MIT). Install: `pip install agentic-ledger`.
- [smigolsmigol/llmkit](https://github.com/smigolsmigol/llmkit) [![llmkit-mcp-server MCP server](https://glama.ai/mcp/servers/@smigolsmigol/llmkit-mcp-server/badges/score.svg)](https://glama.ai/mcp/servers/@smigolsmigol/llmkit-mcp-server) 📇 ☁️ 🍎 🪟 🐧 - AI API cost tracking and budget enforcement across 11 LLM providers. 6 tools for spend analytics, budget monitoring, session summaries, and key management.
- [metoro-io/metoro-mcp-server](https://github.com/metoro-io/metoro-mcp-server) 🎖️ 🏎️ ☁️ - Query and interact with kubernetes environments monitored by Metoro
- [metrxbots/mcp-server](https://github.com/metrxbots/mcp-server) [![metrx-mcp-server MCP server](https://glama.ai/mcp/servers/metrxbots/metrx-mcp-server/badges/score.svg)](https://glama.ai/mcp/servers/metrxbots/metrx-mcp-server) 🏠 ☁️ - AI agent cost intelligence — track spend across providers, optimize model selection, manage budgets with enforcement, detect cost leaks, and prove ROI. 23 tools across 10 domains.