Solana Metrics MCP Server
Analyze Solana metrics from InfluxDB and generate Grafana dashboards.
Solana Metrics MCP Server
This MCP server analyzes Solana metrics from InfluxDB and generates Grafana dashboards. It's designed to work with the sol_metrics database and provides intelligent categorization and analysis of blockchain metrics.
Features
- 🔍 Metric Discovery: Lists all available metrics from the sol_metrics InfluxDB database
- 🏷️ Intelligent Categorization: Automatically categorizes metrics into logical groups (Consensus, Network, Banking, Accounts, RPC, Performance, Jito/MEV)
- 📊 Metric Analysis: Provides detailed explanations of what each metric measures and why it's useful
- 📁 Auto-Dashboard Export: Creates and saves importable Grafana dashboard JSON files to
grafana/folder - 🔎 Code Search: Helps locate metric definitions in the Solana Rust codebase
- 🔄 Dual InfluxDB Support: Compatible with both InfluxDB v1 and v2
- 🛠️ VS Code Integration: Works seamlessly as an MCP server in Visual Studio Code
Installation
npm install
npm run build
Configuration
Set the following environment variables to connect to your InfluxDB instance:
export INFLUX_URL="http://your-influxdb-server:8086"
export INFLUX_TOKEN="your_token"
export INFLUX_ORG="your_org"
export INFLUX_BUCKET="sol_metrics"
export INFLUX_VERSION="v1" # or "v2" for InfluxDB v2
Dashboard Export
When you generate dashboards using the generate_dashboard tool, the server automatically:
- Saves JSON files to the
grafana/folder in your project directory - Creates timestamped backups for version history
- Provides ready-to-import Grafana dashboard configurations
Generated dashboard files:
consensus-dashboard.json- Epoch rewards, slot confirmation, validator votingnetwork-dashboard.json- Gossip, cluster info, retransmit metricsbanking-dashboard.json- Transaction processing, prioritization feesaccounts-dashboard.json- Account database, cache, hashing metricsrpc-dashboard.json- RPC service and subscription metricsperformance-dashboard.json- CPU, memory, disk usage metricsjito-mev-dashboard.json- Block engine, bundle processing, MEV relayer metrics
Usage with Claude Desktop
Add this server to your Claude Desktop configuration:
{
"mcpServers": {
"solana-metrics": {
"command": "node",
"args": ["/absolute/path/to/solana-metrics-mcp-server/build/index.js"]
}
}
}
Available Tools
1. list_metrics
Lists all available metrics from the sol_metrics database.
2. analyze_metrics
Analyzes and categorizes metrics with detailed explanations.
- Parameters:
category(optional): Filter by category (Consensus, Network, Banking, Accounts, RPC, Performance, Jito/MEV, Other, All)
3. generate_dashboard
Generates a Grafana dashboard JSON for selected metrics.
- Parameters:
category: Category to generate dashboard fordashboard_name: Name for the generated dashboard
4. search_rust_code
Searches for metric definitions in the Solana Rust codebase.
- Parameters:
metric_name: Name of the metric to search for
Metric Categories
The server organizes metrics into the following categories based on Solana's architecture:
- Consensus: Validator voting, slots, epochs, leader schedules
- Network: Cluster topology, gossip, turbine, TPU/TVU, repairs
- Banking: Transaction processing, PoH recording, leader slot utilization
- Accounts: Account database operations, hashing, snapshots
- RPC: API request handling, subscriptions, WebSocket connections
- Performance: System resources, throughput benchmarks
- Jito/MEV: MEV tips, bundle processing, block engine metrics
Development
# Development mode
npm run dev
# Build only
npm run build
# Start server
npm start
Contributing
This server is designed for Solana metrics analysis. For questions or improvements, please refer to the Solana metrics documentation and codebase.
Related Servers
Untun
Create secure tunnels to expose local servers to the internet using untun.
Awesome LLMs Txt
Access documentation from the Awesome-llms-txt repository directly in your conversations.
QA Sphere
Integration with QA Sphere test management system, enabling LLMs to discover, summarize, and interact with test cases directly from AI-powered IDEs
Swagger MCP
Scrapes Swagger UI to dynamically generate MCP tools at runtime using LLMs.
Steadybit
Interact with the Steadybit platform to run chaos engineering experiments.
Deephaven MCP
MCP servers for Deephaven to orchestrate data workers and power documentation Q&A with LLMs, enabling AI-driven data workflows.
E2B
Run code in secure sandboxes hosted by E2B
CodebaseIQ Pro
Provides AI assistants with a comprehensive, one-time analysis for complete codebase context and understanding.
MCP-RAGNAR
A local MCP server implementing Retrieval-Augmented Generation (RAG) with sentence window retrieval and support for multiple file types.
Glif
Run AI workflows from glif.app using the Glif MCP server.