drewstreib/mcp-prom-haskell
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The MCP Prometheus Server is a Haskell-based implementation of the Model Context Protocol, designed to integrate with Claude Desktop and provide access to Prometheus metrics.
MCP Prometheus Server
Overview
A production-ready Model Context Protocol (MCP) server implementation in Haskell that provides Claude Desktop with access to Prometheus metrics and queries. Built with Haskell best practices including proper exception handling, strict evaluation patterns, and comprehensive error recovery.
"The Adeon Special" - v1.0.1 incorporates advanced Haskell techniques to avoid common footguns and ensure thread-safe, robust operation.
Features
- ๐ Claude Desktop Integration - Seamless MCP protocol support
- ๐ Complete Prometheus API - Query, discover, and explore metrics
- ๐ 5 Powerful Tools - From instant queries to metric discovery
- ๐ก๏ธ Production Ready - Comprehensive error handling and logging
- ๐งต Thread Safe - Strict evaluation prevents lazy I/O hangs
- ๐ง Haskell Best Practices - Proper exception handling, no SomeException anti-patterns
- ๐งช Test Coverage - Unit and integration tests included
Quick Start
Option 1: Use Pre-built Binary (Recommended)
- Clone the repository:
git clone https://github.com/drewstreib/mcp-prom-haskell.git
cd mcp-prom-haskell/mcp-prometheus-server
- Use the pre-built binary:
./testbin/mcp-prometheus-server --prometheus-url http://your-prometheus-server:9090
Option 2: Build from Source
make build
# Binary will be in testbin/mcp-prometheus-server
Option 3: Docker (Development)
# Start test Prometheus instance
docker-compose up -d prometheus
# Build and run
docker build -t mcp-prometheus-server .
docker run -it --rm \
--network mcp-prometheus-server_mcp-network \
-e PROMETHEUS_URL=http://prometheus:9090 \
mcp-prometheus-server
Claude Desktop Configuration
Add to your Claude Desktop configuration file:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
Linux: ~/.config/claude/claude_desktop_config.json
{
"mcpServers": {
"prometheus": {
"command": "/path/to/mcp-prom-haskell/mcp-prometheus-server/testbin/mcp-prometheus-server",
"args": [
"--prometheus-url",
"http://your-prometheus-server:9090"
]
}
}
}
Replace /path/to/
with your actual path to the repository.
Available Tools
1. prometheus_query
Execute instant PromQL queries at a specific point in time.
Example: "What's the current CPU usage?"
rate(node_cpu_seconds_total[5m])
2. prometheus_query_range
Execute queries over a time range for trending and analysis.
Example: "Show me memory usage over the last hour"
node_memory_Active_bytes
3. prometheus_series
Find time series matching specific label selectors.
Example: "What metrics are available for the node-exporter job?"
4. prometheus_metrics
List all available metric names in the system.
Example: "What metrics can I query?"
5. prometheus_labels
Discover all label names used across metrics.
Example: "What labels are available for filtering?"
Haskell Implementation Details
This server showcases production-ready Haskell practices:
Exception Handling
- No
SomeException
anti-pattern - Only catches specific, recoverable exceptions IOException
for I/O operations - Handles stdin/stdout failures gracefullyHttpException
for network calls - Provides detailed Prometheus connection errors
Thread Safety & Performance
- BangPatterns for strict evaluation - Prevents lazy I/O hangs in logging
- Structured logging with timestamps - Thread-safe, atomic log writes
- UTF-8 text handling - Proper Unicode support throughout
JSON-RPC Compliance
- Proper notification handling - No responses to notifications per spec
- Type-safe message parsing - Comprehensive error recovery
- Protocol version matching - Full Claude Desktop compatibility
Manual Installation
Prerequisites
- GHC 9.12+ and Cabal 3.0+
- Or use GHCup (recommended):
curl --proto '=https' --tlsv1.2 -sSf https://get-ghcup.haskell.org | sh
Building
git clone https://github.com/drewstreib/mcp-prom-haskell.git
cd mcp-prom-haskell/mcp-prometheus-server
make build
Testing
Run Tests with Docker
docker-compose run --rm mcp-prometheus-server-test
Run Tests Manually
# Unit tests only
cabal test
# With integration tests (requires Prometheus)
export PROMETHEUS_URL=http://your-prometheus-server:9090
cabal test
Configuration
Environment Variables
PROMETHEUS_URL
- URL of your Prometheus server (default:http://your-prometheus-server:9090
)
Command Line Options
mcp-prometheus-server --prometheus-url http://prometheus:9090
Development
Project Structure
mcp-prometheus-server/
โโโ app/ # Main executable
โโโ src/ # Library source code
โ โโโ MCP/ # MCP protocol implementation
โ โโโ Prometheus/ # Prometheus client
โโโ test/ # Test suites
โโโ Dockerfile # Docker image definition
โโโ docker-compose.yml # Development environment
Adding New Endpoints
- Add the client function in
src/Prometheus/Client.hs
- Add the tool definition in
src/MCP/Server.hs
- Add tests in
test/IntegrationSpec.hs
- Update documentation
Troubleshooting
Docker Issues
Container exits immediately: The MCP server expects stdio interaction. Use -it
flags:
docker run -it --rm mcp-prometheus-server:latest
Cannot connect to Prometheus: Ensure containers are on the same network:
docker network create mcp-net
docker run --network mcp-net ...
Build Issues
Cabal dependency errors: Update your package index:
cabal update
GHC version mismatch: Use GHCup to install the correct version:
ghcup install ghc 9.6.4
ghcup set ghc 9.6.4
Contributing
We welcome contributions! See for planned features.
- Fork the repository
- Create a feature branch
- Add tests for new functionality
- Ensure all tests pass
- Submit a pull request
License
BSD 3-Clause License - see file for details.
Acknowledgments
- Special thanks to Adeon for invaluable guidance on Haskell best practices, exception handling patterns, and avoiding common lazy evaluation footguns
- Built with the Model Context Protocol
- Powered by Prometheus
- Written in Haskell
"The Adeon Special" - v1.0.1
This release represents production-ready Haskell code that avoids common pitfalls:
- โ
No
SomeException
anti-patterns - โ Strict evaluation in I/O-heavy functions
- โ Thread-safe logging patterns
- โ Proper JSON-RPC notification handling
- โ Comprehensive error recovery without crashes