claude-ipc-mcp
🥈SilverClaude IPC MCP enables AI-to-AI communication between Claude, Gemini, and other AI assistants. Operations teams use it to automate workflows by allowing AI agents to exchange messages and coordinate tasks. It connects to Python-based workflows and integrates with AI assistants supporting the protocol.
133230Updated 2mo ago
Intermediate30min to implementautomation
Saves ~90 min per use
Quick InstallView Source
git clone https://github.com/jdez427/claude-ipc-mcp.gitWorks with:
Claude
Overview
About This Skill
Claude IPC MCP lets different AI assistants communicate directly with each other using simple natural language commands, functioning as a persistent messaging system for AI agents. It works across platforms including Claude, Gemini, and ChatGPT, allowing agents to send messages, check inboxes, and coordinate tasks without additional coding. Messages persist across restarts, making it reliable for multi-agent automation workflows. Installation takes minutes and requires only Python 3.12+ and an AI assistant with Python execution capability. Operations teams use it to automate complex workflows where multiple AI agents need to exchange information and collaborate on tasks.
How to Use
["Set up claude-ipc-mcp in your Python environment using the official documentation. Ensure both agents (Agent A and Agent B) have the protocol installed and configured.","Define the roles and responsibilities of each agent. For example, Agent A could be responsible for content generation, while Agent B handles quality assurance.","Use the prompt template to initiate the task, specifying the topic, agents involved, and deadline. Customize the message format to include attachments or additional context as needed.","Monitor the conversation via the claude-ipc-mcp interface or logs. Ensure agents acknowledge receipt of messages and provide timely responses to avoid bottlenecks.","After the task is complete, review the final output and feedback. Use the insights to refine future multi-agent workflows or adjust agent roles for better efficiency."]
Use Cases
Multi-agent workflow automation with persistent task coordination
Cross-platform AI collaboration between Claude, Gemini, and ChatGPT
Delegating tasks between AI agents with asynchronous message queues
Operations team automation leveraging AI agent communication
Tags
Setup & Installation
Quick Install
No install command available. Check the GitHub repository for manual installation instructions.
Alternative Install (Git Clone)
git clone https://github.com/jdez427/claude-ipc-mcpRequirements
- Claude Code or compatible AI agent
- Works with: Claude
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
Prompt Template
Use claude-ipc-mcp to coordinate a multi-agent task where [AGENT_A] generates a draft report on [TOPIC] and [AGENT_B] reviews it for accuracy and style. [AGENT_A] should send the draft to [AGENT_B] via claude-ipc-mcp, and [AGENT_B] should return feedback with suggested edits. Include a deadline of [DEADLINE] for completion.
Example Output
Agent A: *Initiates communication*
```
{
"to": "AgentB",
"from": "AgentA",
"message": "Here is the draft report on 'Q3 2024 Market Trends in AI Automation Tools'. Please review for accuracy and style by 2024-10-15.",
"attachments": [
{
"filename": "Q3_AI_Market_Trends_Draft.md",
"content": "# Q3 2024 Market Trends in AI Automation Tools\n\n## Overview\nThe AI automation market saw [X]% growth in Q3 2024..."
}
]
}
```
Agent B: *Receives and processes the message*
```
{
"to": "AgentA",
"from": "AgentB",
"message": "Review complete. Found 3 areas needing improvement: 1) The growth percentage lacks a source citation, 2) The 'Overview' section could be more concise, 3) The 'Regional Breakdown' section needs additional data for Europe. Suggested edits attached.",
"attachments": [
{
"filename": "Q3_AI_Market_Trends_Edits.md",
"content": "# Q3 2024 Market Trends in AI Automation Tools\n\n## Overview\nThe AI automation market saw 22% YoY growth in Q3 2024 (source: Gartner, 2024). Key drivers included..."
}
]
}
```
Agent A: *Acknowledges feedback and closes the loop*
```
{
"to": "AgentB",
"from": "AgentA",
"message": "Edits applied. Final report submitted to the operations team for distribution. Thank you for the thorough review!"
}
```
**Workflow Summary:**
- Agent A generated a 1200-word draft report on AI automation market trends.
- Agent B identified 3 critical improvements, reducing the document to 950 words while adding citations.
- Total coordination time: 18 minutes (including 5 minutes for Agent B to review and 3 minutes for edits).
- The final report was delivered 2 days ahead of the deadline, enabling the operations team to proceed with distribution.Apply to these tools
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