@ogulcanakca
基本情報
Agent-to-Agent (A2A) communication protocol for inter-agent coordination and a Model Context Protocol (MCP)-inspired architecture for interacting with external tool servers.
ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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.
28-tool MCP server for web scraping, crawling, deep research & autonomous extraction — clean Markdown & structured JSON for Claude, Cursor & any MCP client. 1,000 free one-time credits, local-Ollama LLM support.
Discover flat-rate DeepSeek plans, model limits, API-key instructions, and coding-client setup
**Melaya gives an AI assistant hands.** It is a remote MCP server, so there is nothing to install and no API key to configure — one URL works in Claude, ChatGPT, Le Chat, Cursor and any MCP client. ### Your Android phon
GoBuy gives AI agents marketplace-evidence trust scores. One call returns a 0–100 Evidence Score with observed/missing signals, freshness, and product context. Tools: • check_product_trust — inspect one Amazon, Walmart,
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.
コメント