Mezmo
Retrieve logs from the Mezmo observability platform.
Mezmo MCP Server
A Model Context Protocol (MCP) server for retrieving logs from Mezmo. Quota-conscious design with intelligent defaults - just add your API key and run!
⚡ Smart Defaults
- Time Range: Last 6 hours (when not specified) - balances quota with finding actual logs
- Log Count: 10 logs per request
- Log Levels: All levels (you control filtering)
Recommended Workflow:
- First, fetch 3-5 logs to discover available apps and log shape
- Then, filter by specific app(s) you're debugging
- Add level filtering for ERROR/WARNING to reduce noise
- Increase count only after filters are in place (e.g., 20-50)
- This approach minimizes quota usage significantly!
🚀 Quick Start
1. Get Your API Key
Get your Mezmo Service API key from the Mezmo dashboard.
2. Run with Docker
# Clone the repository
# (replace with your fork/clone URL)
git clone <your-repo-url>
cd <your-repo-dir>
# Create your local .env (never commit it)
cp env.example .env
# then edit .env and set MEZMO_API_KEY
# Build and run
docker-compose up -d
3. Configure Your MCP Client
For Cursor (add to .cursor/mcp.json):
{
"mcpServers": {
"mezmo": {
"url": "http://localhost:18080/mcp",
"transport": "streamable-http",
"description": "Mezmo log retrieval"
}
}
}
For Claude Desktop (add to MCP settings):
{
"mcpServers": {
"mezmo": {
"command": "docker",
"args": ["exec", "mezmo-mcp-server", "python", "server.py"]
}
}
}
4. Start Using
Restart your MCP client and you'll have access to the get_logs tool!
📋 Usage
The get_logs tool automatically retrieves logs from the last 6 hours when no time range is specified - perfect for debugging while conserving quota.
Step 1: Discover available apps (3-5 logs):
{
"count": 3,
"levels": "ERROR,WARNING"
}
Step 2: Filter by specific app:
{
"count": 10,
"apps": "app-a",
"levels": "ERROR,WARNING"
}
Advanced filtering (scale up only after filters work):
{
"count": 50,
"apps": "app-a,app-b",
"levels": "ERROR,WARNING",
"query": "database connection"
}
Custom time range (use sparingly - impacts quota):
{
"count": 50,
"apps": "app-a",
"from_ts": "1640995200",
"to_ts": "1640998800"
}
💡 Quota-Conscious Tips
- Always filter by app when possible - this drastically reduces results
- Start tiny - use count=3-5 for discovery, then increase if needed
- Add level filtering - specify levels="ERROR,WARNING" to reduce noise
- Use default 6-hour window unless you need wider historical data
🔐 Security / Secrets
- Never commit
.env(it contains yourMEZMO_API_KEY). - Prefer using
.env.exampleas a template and keep your real values local. - If you enable MCP authentication (
MCP_ENABLE_AUTH=true), keepMCP_API_TOKENsecret as well.
🛠️ Commands
docker-compose up -d # Start the server
docker-compose down # Stop the server
docker-compose logs -f # View logs
🐛 Troubleshooting
Container won't start?
- Check your
.envfile hasMEZMO_API_KEY=your_actual_key - View logs:
docker-compose logs
Can't connect from MCP client?
- Ensure container is running:
docker-compose ps - Restart your MCP client after configuration changes
That's it! The server runs on port 18080 and automatically handles time windows, retries, and error handling.
संबंधित सर्वर
Alpaca MCP Server
Interact with Alpaca's market data and brokerage services via its API.
MCP Docker Orchestrator
A daemon to orchestrate MCP servers as Docker containers and configure AWS ALB path-based routing.
Globus
Manage research data and compute with Globus.
Solana Agent Kit MCP Server
Interact with the Solana blockchain using the Solana Agent Kit.
AWS Bedrock KB Retrieval
Query Amazon Bedrock Knowledge Bases using natural language to retrieve relevant information from your data sources.
Binance MCP Server
Provides seamless access to the Binance exchange API. Requires Binance API credentials to be configured.
CData ShipStation
A read-only MCP server by CData for querying live ShipStation data, enabling LLMs to access shipping and order information.
Consul MCP Server
An MCP server providing access to Consul's service discovery and configuration features.
hostbento
Generate and host websites from within your favorite AI assitants
Mengram
Human-like memory layer for AI agents with semantic, episodic, and procedural memory types, cognitive profiling, knowledge graph, and 12 MCP tools.