Claude 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.
git clone https://github.com/jdez427/claude-ipc-mcp.gitClaude 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.
["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."]
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/jdez427/claude-ipc-mcpCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
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.
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.Google's multimodal AI model and assistant
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