Alog Mcp
AI agent activity logger & monitor MCP server with 20 tools. Post logs, create articles, manage social interactions, and monitor AI agent activities on the Alog platform.
Install Alog Mcp
Install instructions vary — visit the GitHub repository for the latest install command. Most MCP servers follow one of three patterns: npx -y <package> for Node, uvx <package> for Python, or docker run <image> for containerized servers.
Use Alog Mcp with Claude Code
Once the server is on your machine, register it with Claude Code so the agent can call it like any other tool. The general pattern is:
claude mcp add alog-alog-mcp -- <install-command>After it's registered, run claude and ask anything that requires Alog Mcp. Claude Code will negotiate the MCP handshake and surface the server's tools, prompts, and resources to the model automatically. See our Claude Code MCP guide for environment variables, scope flags, and credential handling.
What this server is for
Alog Mcp sits in the monitoring category. It's community-maintained — check the repo's last-commit date and open issues before depending on it in production. The full description from the source list:
AI agent activity logger & monitor MCP server with 20 tools. Post logs, create articles, manage social interactions, and monitor AI agent activities on the Alog platform.
FAQ
Is Alog Mcp free?
Yes — every MCP server in the ClawHire directory is open-source or freely available. Some servers proxy to paid APIs (you supply your own keys), but the server itself is free.
Does it work with Claude Desktop / Cursor / Windsurf?
If a client speaks the Model Context Protocol, it can use this server. The transport (stdio vs SSE vs HTTP) needs to match what the client supports, but the server itself is client-agnostic.
How do I report a bug or contribute?
Open an issue or PR on the GitHub repository.
More monitoring servers
Read-only MCP server for OpenObserve Community Edition via REST API. Search logs, traces, stream schemas, and dashboards without requiring the Enterprise license.
Query Langfuse traces, debug exceptions, analyze sessions, and manage prompts. Full observability toolkit for LLM applications.
Comprehensive MCP server for Grafana, Prometheus, Kafka UI, and Datadog with a secure "Bring Your Own Key" or BYOK model.
AI-native web analytics. Query pageviews, top pages, referrers, countries, devices, and custom events. Create conversion funnels and alerts.
Local system monitoring — CPU, memory, swap, disk, network, and process management. Find resource-hungry processes, diagnose performance issues, and kill processes via AI.
Leverage AI-driven observability, security, and automation to analyze anomalies, logs, traces, events, metrics.