@ogulcanakca
基本信息
Agent-to-Agent (A2A) communication protocol for inter-agent coordination and a Model Context Protocol (MCP)-inspired architecture for interacting with external tool servers.
工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
A multi-agent system for article drafting and web research, built with Python, Langchain, Anthropic LLMs, FastAPI, and Docker. It features a custom Agent-to-Agent (A2A) protocol for inter-agent coordination and a Model Context Protocol (MCP)-inspired architecture for interacting with external tool servers.
Install Docker and Docker Compose, obtain an Anthropic API key, and set up a Google Cloud Project with a storage bucket and service account key. Clone the repository, create a .env file with your credentials, place google_credentials.json in the project root, then run docker-compose up --build. The Streamlit UI is accessible at http://localhost:8501.
The system uses several Anthropic Claude models: `claude-3-7-sonnet-20250219` for the Supervisor LLM (input validation), `claude-3-haiku-20240307` for the Article Draft and Researcher agents, `claude-3-5-sonnet-20241022` for the Creative LLM MCP Server (text generation), and `claude-3-haiku-20240307` for the Web Search MCP Server (simulated search). The Task Manager Agent and Cloud Storage MCP Server do not directly use LLMs.
Docker and Docker Compose must be installed. You need an Anthropic API key, a Google Cloud Project with the Cloud Storage API enabled, a GCS bucket, and a service account key file (`google_credentials.json`) with write permissions to that bucket.
User inputs are first processed by the Supervisor LLM (Claude model), which validates safety, checks for harmful content, identifies the input language, and translates the topic and style to English before task assignment.
The web research is simulated. The Web Search MCP Server, powered by `claude-3-haiku-20240307`, generates search results based on a query without connecting to live search engines.
Anthropic API (API key via `ANTHROPIC_API_KEY` environment variable) and Google Cloud Storage (service account key file `google_credentials.json`, plus `GOOGLE_CLOUD_PROJECT` and `CLOUD_STORAGE_BUCKET_NAME` in `.env`). Internal communication uses HTTP with no additional authentication.
NetFoundry LLM Gateway is an OpenAI-compatible API proxy that routes requests across multiple LLM providers using zero-trust networking. Zero trust LLM gateway. OpenAI-compatible proxy with semantic routing and load bala
NetFoundry MCP Gateway enables secure, isolated access to Model Context Protocol (MCP) tools across distributed systems without exposing public endpoints. Zero trust gateway for MCP servers. Aggregate, filter, and secure
AON MCP connects AI agents to real, buyable products and services with live pricing and tracked links—enabling builders to earn developer revenue share from attributed clicks and conversions.
Model Context Protocol (MCP) server for Hostinger API. If you don't want to install or run anything locally, connect directly to Hostinger's hosted MCP server: This opens a browser window to authorize via OAuth. Once app
Timestamp and verify evidence on-chain. Let your agent prove what it saw and when. bsv.cx gives an AI agent verifiable memory. Timestamp a hash of any output, archive a web page as it looked, or fetch a URL with a recei
评论