Awesome/awesome-mcp-servers
1
0
Fork 0
mirror of https://github.com/punkpeye/awesome-mcp-servers.git synced 2026-09-16 11:51:18 +00:00
Code Issues Packages Projects Releases Wiki Activity

Fix entry formatting

Browse Source
This commit is contained in:
Frank Fiegel
2026-09-15 15:19:10 -07:00
parent 155a61ee75
commit b7a738aa23
1 changed files with 1 additions and 1 deletions
Download Patch File Download Diff File Expand all files Collapse all files
README.md
+1 -1
View File
@@ -3174,7 +3174,7 @@ Access and analyze application monitoring data. Enables AI models to review erro
- [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.
- [bmdhodl/agent47](https://github.com/bmdhodl/agent47) [![bmdhodl/agent47 MCP server](https://glama.ai/mcp/servers/bmdhodl/agent47/badges/score.svg)](https://glama.ai/mcp/servers/bmdhodl/agent47) 📇 ☁️ - Runtime guardrails and incident read access for coding agents. Query AgentGuard traces, alerts, usage, costs, and budget health.
- [clamp-sh/mcp](https://github.com/clamp-sh/mcp) [![clamp-sh/mcp MCP server](https://glama.ai/mcp/servers/clamp-sh/mcp/badges/score.svg)](https://glama.ai/mcp/servers/clamp-sh/mcp) 📇 ☁️ 🍎 🪟 🐧 - AI-native web analytics. Query pageviews, top pages, referrers, countries, devices, and custom events. Create conversion funnels and alerts.
- [cloudsealed/cloudsealed-mcp](https://github.com/cloudsealed/cloudsealed-mcp) 🐍 🏠 - Two deterministic, rule-based analysis engines for agents: cloud billing cost anomaly detection (rolling-median + MAD, resistant to the masking effect) and auditable architecture risk scoring (single point of failure, coupling, scalability gap) with a rule-by-rule breakdown for every score. `uvx cloudsealed-mcp`
- [cloudsealed/cloudsealed-mcp](https://github.com/cloudsealed/cloudsealed-mcp) [![cloudsealed/cloudsealed-mcp MCP server](https://glama.ai/mcp/servers/cloudsealed/cloudsealed-mcp/badges/score.svg)](https://glama.ai/mcp/servers/cloudsealed/cloudsealed-mcp) 🐍 🏠 - Two deterministic, rule-based analysis engines for agents: cloud billing cost anomaly detection (rolling-median + MAD, resistant to the masking effect) and auditable architecture risk scoring (single point of failure, coupling, scalability gap) with a rule-by-rule breakdown for every score. `uvx cloudsealed-mcp`
- [dragogargo/mcp-sysmon](https://github.com/dragogargo/mcp-sysmon) [![dragogargo/mcp-sysmon MCP server](https://glama.ai/mcp/servers/dragogargo/mcp-sysmon/badges/score.svg)](https://glama.ai/mcp/servers/dragogargo/mcp-sysmon) 🐍 🏠 🍎 🐧 - Local system monitoring — CPU, memory, swap, disk, network, and process management. Find resource-hungry processes, diagnose performance issues, and kill processes via AI.
- [dynatrace-oss/dynatrace-mcp](https://github.com/dynatrace-oss/dynatrace-mcp) 🎖️ 📇 ☁️ 🍎 🪟 🐧 - Leverage AI-driven observability, security, and automation to analyze anomalies, logs, traces, events, metrics.
- [edgedelta/edgedelta-mcp-server](https://github.com/edgedelta/edgedelta-mcp-server) 🎖️ 🏎️ ☁️ – Interact with Edge Delta anomalies, query logs / patterns / events, and pinpoint root causes and optimize your pipelines.