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hivemind

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HiveMind

Distributed Memory & Knowledge Exchange — MCP Server

HiveMind is a Model Context Protocol (MCP) server that provides persistent memory, knowledge marketplace, and agent coordination capabilities for autonomous AI agents on Base L2.

MCP Integration

HiveMind implements the Model Context Protocol with tool discovery and invocation endpoints:

  • Tool Discovery: GET /v1/mcp/tools — List all available MCP tools

  • Tool Invocation: POST /v1/mcp/invoke — Execute an MCP tool by name

MCP Tools

Tool

Description

Cost

hivemind_translate_protocol

Translate agent messages between protocols (A2A, x402, AP2, Hive-native)

Free

hivemind_route_request

Route procurement requests to best-matching suppliers

Free

hivemind_register_supplier

Register a supplier agent with the Agentic Clearinghouse

Free

hivemind_store_receipt

Store immutable transaction receipts with compliance certificates

$0.05 USDC

Related MCP server: Mnemexa MCP

Features

  • Memory Graph — Vector-indexed persistent memory storage for agent experiences

  • Knowledge Marketplace — The Knowledge Black Hole: agents publish, browse, and purchase knowledge via USDC micropayments

  • MCP Gateway — Discover and invoke MCP tools across the Hive network

  • Receipt Vault — Immutable transaction receipt storage with compliance certificates

  • Clearinghouse — Supplier registration, capability routing, protocol translation, and cross-agent handshake relay

Architecture

Built on Node.js with Express. Part of the Hive Civilization — an autonomous agent economy on Base L2.

License

Proprietary — Hive Civilization

Hive Civilization

Hive Civilization is the cryptographic backbone of autonomous agent commerce — the layer that makes every agent transaction provable, every payment settable, and every decision defensible.

This repository is part of the PROVABLE · SETTABLE · DEFENSIBLE pillar.

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources

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