hivepulse
MCP server for agent network monitoring. Aggregates real-time population counts, transaction volume, and health metrics across multi-service agent infrastructure.
README
HivePulse — Agent Network Monitoring — MCP Server
HivePulse is a Model Context Protocol (MCP) server that provides real-time monitoring for the Hive agent network on Base L2. It exposes JSON-RPC 2.0 endpoints for health metrics, population analytics, economy data, and threshold-based alerts.
MCP Tools
| Tool | Description |
|---|---|
hivepulse_get_health |
Network-wide health metrics: active services, uptime, error rates |
hivepulse_get_population |
Agent population stats: total agents, active count, species breakdown |
hivepulse_get_economy |
Economy metrics: transaction volume, revenue, settlement totals |
hivepulse_subscribe_alerts |
Subscribe to threshold-based alerts for any metric |
Usage
Send JSON-RPC 2.0 requests to POST /mcp:
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "hivepulse_get_health",
"arguments": {}
}
}
Supported Methods
initialize— Returns protocol version, capabilities, and server infotools/list— Returns available tool definitionstools/call— Execute a tool by name with arguments
REST API
HivePulse also exposes a REST API under /v1/pulse with endpoints for AEI, reputation, arbitration, knowledge pricing, genetics, subscriptions, and a data firehose.
Setup
npm install
npm start
Server runs on port 3001 by default (configurable via PORT env var).
Architecture
Node.js with Express. SQLite for persistence. Six background analyzers run continuously for real-time metric computation.
License
Proprietary — Hive Civilization
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.