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.
Servidores relacionados
Alpha Vantage MCP Server
patrocinadorAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
Axone MCP
A lightweight server exposing Axone's capabilities through the Model-Context Protocol.
MCP Spec Navigator
Navigate and explore the Model Context Protocol specification with dynamic markdown tree generation and intelligent section navigation.
ctx
Automatically builds and serves context files from codebases for AI assistants like Claude.
Remote MCP Server (Authless)
An example of a remote MCP server deployable on Cloudflare Workers, without authentication.
Currents
Enable AI Agents to fix Playwright test failures reported to Currents.
MCP Low-Level Server Streamable HTTP
A low-level MCP server implementation with streamable HTTP support, configured via environment variables.
Rails Active MCP
A Ruby gem providing secure Rails console access through MCP for AI agents and development tools.
Financial Dashboard with AI Agent Integration
A financial dashboard for monitoring and analyzing investment portfolios with AI-powered insights.
MockMCP
Create mock MCP servers instantly for developing and testing agentic AI workflows.
CVE MCP Server
A production-grade Model Context Protocol (MCP) server that turns Claude into a full-spectrum security analyst. Instead of juggling 15+ browser tabs across NVD, EPSS, CISA KEV, Shodan, VirusTotal, and GreyNoise, ask Claude one question and get correlated intelligence in seconds. Built with Python, FastMCP, httpx, aiosqlite, Pydantic v2, and defusedxml.