Claude IPC
This MCP server enables secure inter-process communication between multiple AI instances (Claude, Gemini, etc.) running on the same machine, particularly designed for WSL environments. Built with Python using TCP sockets and session-based authentication, it provides a message broker that handles registration, message queuing, broadcasting, file sharing, and command output sharing between AI instances, with features like automatic message forwarding during instance renames, large message file storage, and rate limiting. The implementation includes both MCP tools for Claude integration and standalone Python scripts for other AI models, making it valuable for coordinating multi-AI workflows, collaborative problem-solving scenarios, and building AI systems that need to communicate and share data across different instances without manual intervention.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- security
- Source
- PulseMCP
- Repository
- github.com/jdez427/claude-ipc-mcp
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve Claude IPC from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.