Solana Metrics MCP Server

Solana Metrics MCP Server

Analyzes Solana blockchain metrics from InfluxDB and generates categorized Grafana dashboards for monitoring consensus, network, banking, accounts, RPC, performance, and MEV metrics.

Category
访问服务器

README

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:

  1. Saves JSON files to the grafana/ folder in your project directory
  2. Creates timestamped backups for version history
  3. Provides ready-to-import Grafana dashboard configurations

Generated dashboard files:

  • consensus-dashboard.json - Epoch rewards, slot confirmation, validator voting
  • network-dashboard.json - Gossip, cluster info, retransmit metrics
  • banking-dashboard.json - Transaction processing, prioritization fees
  • accounts-dashboard.json - Account database, cache, hashing metrics
  • rpc-dashboard.json - RPC service and subscription metrics
  • performance-dashboard.json - CPU, memory, disk usage metrics
  • jito-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 for
    • dashboard_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.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选