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DevTo Agent

@HeetVekariya

About DevTo Agent

Build and deploy an autonomous Devto Agent capable of interacting with the Dev.to platform, powered by A2A (Agent-to-Agent) and MCP (Model Context Protocol)

Basic information

Category

AI & Agents

Runtime

python

Transports

stdio

Publisher

HeetVekariya

Config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is DevTo Agent?

A comprehensive multi-agent system for interacting with the Dev.to platform, built using Google ADK (Agent Development Kit) and the Model Context Protocol (MCP). It enables automated content creation, article management, and user profile interactions through both Agent-to-Agent (A2A) communication and MCP server implementations.

How to use DevTo Agent?

Clone the repository, create a .env file with DEVTO_API_KEY and GOOGLE_API_KEY, then install dependencies with uv pip install -e .. Start the MCP server with uv run mcp_servers/sse/devto_server.py, launch the DevTo agent with uv run a2a_servers/agent_server/devto_agent.py, and optionally start the host agent with uv run a2a_servers/agent_server/host_agent.py. Run the client application with uv run main.py.

Key features of DevTo Agent

  • Fetch and manage DevTo articles by tags or authors
  • Generate and post markdown content to DevTo
  • Retrieve user profiles and reading lists
  • Manage article comments and followers
  • Supports both SSE and STDIO interfaces

Use cases of DevTo Agent

  • Automatically fetch and review articles filtered by specific tags
  • Post new articles with generated markdown content to DevTo
  • Retrieve a user’s profile details and published article count
  • Manage user reading lists and article comments via MCP tools

FAQ from DevTo Agent

What API keys are required?

A DevTo API key and a Google API key are needed. They are set in the .env file as DEVTO_API_KEY and GOOGLE_API_KEY.

What Python version is needed?

Python 3.10 or higher is required.

Which communication interfaces are supported?

The MCP server supports both Server-Sent Events (SSE) and Standard I/O (STDIO) interfaces.

How do I start the server and agent?

First run the MCP server (uv run mcp_servers/sse/devto_server.py), then start the agent (uv run a2a_servers/agent_server/devto_agent.py), and finally execute the client (uv run main.py).

What are the main MCP tools available?

Tools include get_articles, get_articles_by_tag, get_article_content, post_article, get_user, and get_user_reading_list.

Comments

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