MCP Health Monitor
Monitor MCP server health, uptime, response times, and Azure DevOps pipeline status
README
mcp-health-monitor
MCP server health monitoring, uptime tracking, Azure DevOps pipeline status, and alert evaluation through natural-language tools.
What This Does
mcp-health-monitor keeps a registry of the MCP servers you care about, performs real MCP
handshakes against them, records health history in SQLite, and reports uptime, latency, and
alert thresholds back through MCP tools. It also tracks Azure DevOps pipelines so app health
and delivery health can be checked from the same place.
Quick Start
Run the monitor over stdio:
npx -y mcp-health-monitor
Example Claude Desktop or VS Code MCP entry:
{
"name": "mcp-health-monitor",
"version": "1.0.2",
"mcpName": "io.github.oaslananka/mcp-health-monitor",
"description": "Monitor MCP server health, uptime, response times, and Azure DevOps pipelines",
"transport": "stdio",
"command": "npx",
"args": ["-y", "mcp-health-monitor"]
}
Tools Reference
| Tool | Purpose | Typical prompt |
|---|---|---|
register_server |
Save an MCP server to monitor | Register https://example.com/mcp as prod-gateway |
check_server |
Run a live health check for one server | Check prod-gateway now |
check_all |
Check all registered servers | Check all my MCP servers |
get_uptime |
Return uptime plus latency stats | Show 24h uptime for prod-gateway |
get_dashboard |
Return JSON dashboard data | Give me a 24h dashboard |
get_report |
Return a Markdown report | Generate a Markdown health report for 24h |
list_servers |
Show registered servers | List all monitored servers |
unregister_server |
Remove a server | Stop monitoring local-debugger |
set_alert |
Configure thresholds | Alert if prod-gateway exceeds 500ms or drops below 99% uptime |
get_monitor_stats |
Show monitor-level stats | How many checks has the monitor recorded? |
register_azure_pipelines |
Register Azure pipeline groups | Track CI and Publish pipelines for my repo |
check_pipeline_status |
Read latest Azure pipeline runs | Check pipeline status for my release group |
get_pipeline_logs |
Fetch Azure build logs | Show the failed logs for the latest Publish build |
check_all_projects |
Combine MCP and Azure health | Check all projects |
Azure DevOps Integration
Register a pipeline group with an org, project, pipeline names, and a PAT:
register_azure_pipelines name="mcp-health-monitor" organization="oaslananka" project="open-source" pipeline_names=["mcp-health-monitor CI","mcp-health-monitor Publish"] pat_token="..."
PAT tokens are stored as base64 in the local SQLite database for v1.0. This is encoding, not encryption. See credential storage notes.
Alert Configuration
Use set_alert to configure one server:
| Field | Meaning |
|---|---|
max_response_time_ms |
Alert when a check exceeds this latency |
min_uptime_percent |
Alert when the selected uptime window drops below this value |
consecutive_failures_before_alert |
Alert after this many non-up results in a row |
Alerts are evaluated inline by check_server, check_all, and get_dashboard. Webhook delivery
is planned for v1.1, and no webhook MCP tool is shipped in v1.0.x.
Data Storage
- Default database path:
~/.mcp-health-monitor/health.db - Override path:
HEALTH_MONITOR_DB=/custom/path/health.db - Optional background scheduler:
HEALTH_MONITOR_AUTO_CHECK=1 - HTTP server health endpoint:
GET /health - Example configuration:
.env.example
The DB uses WAL mode on file-backed databases and applies schema migrations automatically on startup.
Docker
Build and run:
docker build -t mcp-health-monitor .
docker run --rm -p 3000:3000 -e HEALTH_MONITOR_AUTO_CHECK=1 mcp-health-monitor
Then check:
curl http://localhost:3000/health
Development
npm install
npm run build
npm test
npm run test:integration
npm run lint
npm run lint:test
npm run format:check
Use npx --yes -p node@20.19.0 -p npm@10.8.2 npm <command> on workstations where the default
Node runtime is newer than the project target.
Architecture
High-level module map:
src/app.ts: MCP tool registration and response formattingsrc/checker.ts: Live MCP connectivity probes with retry/backoffsrc/registry.ts: SQLite read/write paths for servers, checks, and pipeline recordssrc/db.ts+src/migrations.ts: Connection setup and schema upgradessrc/server-http.ts+src/mcp.ts: HTTP and stdio entrypointssrc/scheduler.ts: Optional background auto-check loop
More detail lives in architecture.md.
Roadmap
Detailed milestone planning lives in ROADMAP.md.
- [x] v1.0: Core monitoring, uptime, alerts, Azure pipelines, Markdown reports
- [ ] v1.1: Webhook notifications for Slack, Discord, and custom endpoints
- [ ] v1.2: Multi-provider pipeline and generic HTTP monitoring
- [ ] v2.0: Encrypted PAT storage and multi-user support
Security
Read SECURITY.md for vulnerability reporting and docs/security.md for implementation-specific storage details.
Contributing
See contributing.md for setup, standards, and PR expectations.
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.