diff --git a/README.md b/README.md
index 563f6bafb..79dc82fbc 100644
--- a/README.md
+++ b/README.md
@@ -3006,7 +3006,7 @@ Access and analyze application monitoring data. Enables AI models to review erro
 - [antonio-mello-ai/mcp-redis-monitor](https://github.com/antonio-mello-ai/mcp-redis-monitor) [![antonio-mello-ai/mcp-redis-monitor MCP server](https://glama.ai/mcp/servers/antonio-mello-ai/mcp-redis-monitor/badges/score.svg)](https://glama.ai/mcp/servers/antonio-mello-ai/mcp-redis-monitor) 🐍 🏠 - Read-only Redis monitoring — queue depths by type, Celery queue status, connected clients, server/memory stats, and key counts per database. 5 tools, built with FastMCP. Install: `uvx mcp-redis-monitor`.
 - [argosvix/mcp-server](https://github.com/argosvix/mcp-server) [![argosvix/mcp-server MCP server](https://glama.ai/mcp/servers/argosvix/mcp-server/badges/score.svg)](https://glama.ai/mcp/servers/argosvix/mcp-server) 📇 ☁️ 🍎 🪟 🐧 - Observability for AI agents: 87 tools to query LLM cost, errors, and latency across OpenAI/Anthropic/Gemini/Mistral, and operate alerts, budget gates, evals, and safety checks from Claude/Cursor. Install: `npx -y @argosvix/mcp-server`.
 - [arnavranjan005/mcp-telemetry](https://github.com/arnavranjan005/mcp-telemetry) [![arnavranjan005/mcp-telemetry MCP server](https://glama.ai/mcp/servers/arnavranjan005/mcp-telemetry/badges/score.svg)](https://glama.ai/mcp/servers/arnavranjan005/mcp-telemetry) 📇 🏠 🍎 🪟 🐧 - Socket.IO-style telemetry for MCP servers. Instrument a tool call with a few lines of `mcp-telemetry-sdk`, and `telemetry_subscribe` streams its live progress (steps, logs, cost, done) to any connected MCP client via `notifications/progress` — no polling, and a job started in one session can be watched from a completely different one.
-- [arsentev-ai/contextburn](https://github.com/arsentev-ai/contextburn) 🐍 🏠 🍎 🐧 - Run efficiency for Claude Code sessions: the share of paid tokens that became model output versus re-reading context already sent, by tokens and cost-weighted. Reads local transcripts, makes no network calls.
+- [arsentev-ai/contextburn](https://github.com/arsentev-ai/contextburn) 🐍 🏠 🍎 🐧 - Run efficiency for Claude Code sessions: the share of paid tokens that became model output versus re-reading context already sent, by tokens and cost-weighted. Reads local transcripts, makes no network calls. [![arsentev-ai/contextburn MCP server](https://glama.ai/mcp/servers/arsentev-ai/contextburn/badges/score.svg)](https://glama.ai/mcp/servers/arsentev-ai/contextburn)
 - [avivsinai/langfuse-mcp](https://github.com/avivsinai/langfuse-mcp) 🐍 ☁️ - Query Langfuse traces, debug exceptions, analyze sessions, and manage prompts. Full observability toolkit for LLM applications.
 - [alimuratkuslu/byok-observability-mcp](https://github.com/alimuratkuslu/byok-observability-mcp) [![alimuratkuslu/byok-observability-mcp MCP server](https://glama.ai/mcp/servers/alimuratkuslu/byok-observability-mcp/badges/score.svg)](https://github.com/alimuratkuslu/byok-observability-mcp) 📇 🏠 ☁️ 🍎 🪟 🐧 - Comprehensive MCP server for Grafana, Prometheus, Kafka UI, and Datadog with a secure "Bring Your Own Key" or BYOK model.
 - [bartekrutkowski/watchgoose-mcp](https://github.com/bartekrutkowski/watchgoose-mcp) [![bartekrutkowski/watchgoose-mcp MCP server](https://glama.ai/mcp/servers/bartekrutkowski/watchgoose-mcp/badges/score.svg)](https://glama.ai/mcp/servers/bartekrutkowski/watchgoose-mcp) 🎖️ 📇 ☁️ - Monitor cron jobs, backups, Kubernetes jobs and other scheduled tasks in Watchgoose.com. Read-only by default, check changes require explicit consent.