MCP Health Monitor
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-monitorExample 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 |
| Save an MCP server to monitor |
|
| Run a live health check for one server |
|
| Check all registered servers |
|
| Return uptime plus latency stats |
|
| Return JSON dashboard data |
|
| Return a Markdown report |
|
| Show registered servers |
|
| Remove a server |
|
| Configure thresholds |
|
| Show monitor-level stats |
|
| Register Azure pipeline groups |
|
| Read latest Azure pipeline runs |
|
| Fetch Azure build logs |
|
| Combine MCP and Azure health |
|
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 |
| Alert when a check exceeds this latency |
| Alert when the selected uptime window drops below this value |
| 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.dbOverride path:
HEALTH_MONITOR_DB=/custom/path/health.dbOptional background scheduler:
HEALTH_MONITOR_AUTO_CHECK=1HTTP server health endpoint:
GET /healthExample 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-monitorThen check:
curl http://localhost:3000/healthDevelopment
npm install
npm run build
npm test
npm run test:integration
npm run lint
npm run lint:test
npm run format:checkUse 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.
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
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curl -X GET 'https://glama.ai/api/mcp/v1/servers/oaslananka/mcp-health-monitor'
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