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0.3.0

PyPI

agenters

MCP servers that allow AI agents to interact with various AI coding assistants

Published6 Jan 2026

Direct dependencies2

Transitive dependenciesNot calculated

README

Version 0.3.0 documentation

Agents Parliament

The idea: instead of asking one AI coding agent (Claude, Gemini, Codex, Aider, etc.), you group them into your "Agents Parliament."

When you submit a task:

Your main agent receives the request and decides if it needs help
It calls other agents as tools — Claude might ask Gemini for a code review, or delegate a refactor to Aider
The agents collaborate — each bringing their strengths to produce better results

Each agent can also spawn sub-agents on the fly, dynamically creating their instructions based on the task.

Supported Agents

Server	CLI Tool	Publisher
`claude-mcp`	Claude Code	Anthropic
`aider-mcp`	Aider	Open Source
`codex-mcp`	OpenAI Codex	OpenAI
`gemini-mcp`	Gemini CLI	Google
`goose-mcp`	Goose	Block (Square)

Prerequisites

Python 3.10+
The respective CLI tools installed (see below)

CLI Installation

# Claude Code (required for claude-mcp)
# Install from: https://docs.anthropic.com/en/docs/claude-code

# Aider (required for aider-mcp)
pip install aider-chat

# OpenAI Codex (required for codex-mcp)
npm install -g @openai/codex

# Gemini CLI (required for gemini-mcp)
npm install -g @google/gemini-cli

# Goose (required for goose-mcp)
curl -fsSL https://github.com/block/goose/releases/download/stable/download_cli.sh | bash

Installation

# Install from PyPI (recommended)
pip install agenters

# OR install from source
git clone https://github.com/roeiba/agenters.git
cd agenters
pip install .

Usage

Run servers directly

Once installed, you can use the CLI commands directly:

# Claude MCP Server
claude-mcp

# Aider MCP Server
aider-mcp

# Codex MCP Server
codex-mcp

# Gemini MCP Server
gemini-mcp

# Goose MCP Server
goose-mcp

Configure with Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "claude-agent": {
      "command": "claude-mcp",
      "args": []
    },
    "aider-agent": {
      "command": "aider-mcp",
      "args": []
    },
    "codex-agent": {
      "command": "codex-mcp",
      "args": []
    },
    "gemini-agent": {
      "command": "gemini-mcp",
      "args": []
    },
    "goose-agent": {
      "command": "goose-mcp",
      "args": []
    }
  }
}

Available Tools

Claude MCP Server

Tool	Description
`ask_claude`	Simple prompt to Claude
`ask_claude_with_system`	Prompt with custom system prompt
`ask_claude_json`	Get structured JSON response
`ask_claude_in_directory`	Run with directory context
`ask_claude_with_tools`	Run with specific tools enabled
`get_claude_version`	Get CLI version

Aider MCP Server

Tool	Description
`aider_chat`	Send a message to make code changes
`aider_architect`	Use architect mode for planning
`aider_ask`	Ask questions without making changes
`get_aider_version`	Get Aider version

Codex MCP Server

Tool	Description
`codex_prompt`	Send a prompt (suggest mode)
`codex_full_auto`	Run in full-auto sandboxed mode
`codex_auto_edit`	Run in auto-edit mode
`get_codex_version`	Get Codex CLI version

Gemini MCP Server

Tool	Description
`gemini_prompt`	Send a prompt to Gemini
`gemini_in_directory`	Run with directory context
`gemini_with_search`	Run with Google Search grounding
`get_gemini_version`	Get Gemini CLI version

Goose MCP Server

Tool	Description
`goose_run`	Run with text instructions
`goose_run_file`	Run with instructions from file
`goose_run_recipe`	Run a predefined recipe
`get_goose_version`	Get Goose version

License

MIT

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Declared dependencies 2

Native requirements

2 direct targetsNot calculated transitive count

Package / target	Requirement	Relationship
mcp Environment { "extras": "cli", "marker": null, "requires_python": ">=3.10", "evaluation": "NOT_EVALUATED" }	`mcp[cli]>=1.2.0`	runtime
claude-agent-sdk Environment { "extras": "", "marker": null, "requires_python": ">=3.10", "evaluation": "NOT_EVALUATED" }	`claude-agent-sdk>=0.1.0`	runtime