What features does Hyperledger Fabric Agent Suite MCP server provide?

Q: What features does Hyperledger Fabric Agent Suite MCP server provide?

Agent-Ready MCP Tool: Enables LLMs and other agents to interact with a Fabric network through MCP for AI-driven control.. Automation and Scripting: Python-based MCP tool designed for automation, scripting, and agent integration to orchestrate Fabric tasks.. Controller API Integration: Uses the hlf-controller REST API to perform network operations, enabling scripted lifecycle tasks via HTTP endpoints.. Cursor Integration: Provides official integration path for Cursor via ~/.cursor/mcp.json to load the MCP tool.. Claude Desktop Integration: Provides official integration path for Claude Desktop via claude_desktop_config.json to load the MCP tool.. Config and Endpoint Flexibility: Supports environment variables HLF_CONFIG_PATH and HLF_API_BASE for customizing the config path and controller endpoint.. Modular Toolkit: Part of a modular toolkit with hlf-controller and hlf-mcp components to separate network management from agent orchestration.

Hyperledger Fabric Agent Suite MCP Server 2025: Features & Setup Guide

Overview

hlf-mcp is the MCP component of the Hyperledger Fabric Agent Suite. It is a Python-based MCP tool designed for automation, scripting, and agent integration with a Hyperledger Fabric network. The MCP tool complements the hlf-controller, a Go-based REST API server, by providing an MCP-centric interface for external agents and large language models to drive fabric operations. The README outlines integration workflows with Cursor and Claude Desktop, including how to reference hlf-mcp in Cursor's mcp.json and Claude's claude_desktop_config.json, enabling hands-free network control from AI agents. The MCP uses a centralized configuration path via the HLF_CONFIG_PATH or a config.yaml inside the hlf-controller, and it uses HLF_API_BASE to target the controller’s REST API (default http://localhost:8081). Through MCP, automation scripts can trigger lifecycle-like actions by invoking controller endpoints for network setup, channel creation, chaincode deployment, invocation, and queries. This modular toolkit is designed to simplify agent-driven Fabric orchestration while keeping the network management responsibilities in the dedicated hlf-controller.

Features

Agent-Ready MCP Tool

Enables LLMs and other agents to interact with a Fabric network through MCP for AI-driven control.

Automation and Scripting

Python-based MCP tool designed for automation, scripting, and agent integration to orchestrate Fabric tasks.

Controller API Integration

Uses the hlf-controller REST API to perform network operations, enabling scripted lifecycle tasks via HTTP endpoints.

Cursor Integration

Provides official integration path for Cursor via ~/.cursor/mcp.json to load the MCP tool.

Claude Desktop Integration

Provides official integration path for Claude Desktop via claude_desktop_config.json to load the MCP tool.

Config and Endpoint Flexibility

Supports environment variables HLF_CONFIG_PATH and HLF_API_BASE for customizing the config path and controller endpoint.

Modular Toolkit

Part of a modular toolkit with hlf-controller and hlf-mcp components to separate network management from agent orchestration.