What are the prerequisites?
You need Claude Desktop (a free account is sufficient).
@agardnerIT
Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"logreader": {
"command": "uv",
"args": [
"--directory",
"/full/path/claude-mcp-server-observability",
"run",
"logreader.py"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
A demo MCP server that provides observability capabilities by reading application logs, enabling Claude Desktop to investigate errors and suggest remediation. It is intended for developers using Claude Desktop who want to experiment with log‑driven debugging.
Clone the repo, install dependencies with pip install -r requirements.txt, start the server with python logreader.py, then configure Claude Desktop by editing its config JSON to point to the logreader server. Launch Claude, start a new chat, and ask a question like “I noticed errors in the logs on the 22nd March. Help me investigate.” Claude will use the three server‑provided tools to answer, possibly after asking for permission.
You need Claude Desktop (a free account is sufficient).
Clone the repo, run `pip install -r requirements.txt`, then execute `python logreader.py`.
Go to `Claude > Settings > Developer`, click `Edit config`, and set the JSON content to the sample provided in the README, using the full path to your cloned repo.
For example, “I noticed errors in the logs on the 22nd March. Help me investigate.” Claude will use the tools to read logs and produce findings.
Claude may identify the responsible pipeline and release and suggest contacting a specific person (e.g., “Pipeline C and the release was most likely responsible; you should contact Susan”).
RelVectors: your computer's AI engineer. Disk cleanup, speed up PC, overheating control, suspicious process check and remote maintenance for Windows, macOS and Linux. 电脑里的 AI 工程师:清理系统、电脑加速、温度控制、安全体检。
Detect and redact PII, PHI, PCI and secrets — SSNs, credit cards, passports, API keys and cloud credentials — in text and in local files, using the Strac DLP API. Five tools: redact_text, detect_sensitive_data, detect_fi
Official MCP server for BlazingCDN - AI agents (Claude, Cursor, Windsurf) manage CDN resources, purge cache, query metrics, domains, Anycast CDN, Video CDN and Media CDN

Quantum-inspired keyring for AI coding agents. Secure secrets with superposition, entanglement, tunneling, and teleportation — CLI + 44 MCP tools.
Open-source Node.js FHIR MCP server with SMART Backend Services, metadata-aware search/CRUD tools, compact responses, FHIRPath filtering, safe pagination, audit events, and terminology lookup.
Comments