claude-ipc-mcp vs filesystem

Side-by-side comparison to help you pick between these two MCP servers.

	claude-ipc-mcp by jdez427	filesystem by modelcontextprotocol
Stars	★ 132	★ 85,748
30d uses	—	—
Score	45	77
Official	—	✓
Categories	CommunicationAI / LLM ToolsProductivity	File SystemDeveloper ToolsProductivity
Language	Python	TypeScript
Last commit	8 mo ago	this month

claude-ipc-mcp · Summary

MCP server enabling AI-to-AI communication across different platforms like Claude, Gemini, and ChatGPT using natural language commands.

filesystem · Summary

A feature-rich MCP server for filesystem operations with dynamic directory access control.

claude-ipc-mcp · Use cases

Collaborative problem-solving where specialized AIs handle different aspects of a task
Handoff scenarios where one AI completes a task and passes context to another
Multi-platform AI workflows that leverage the strengths of different AI services

filesystem · Use cases

Enable AI models to read and write project files during development
Allow Claude or other MCP clients to browse and analyze codebases
Provide secure sandboxed access to specific directories for content generation

claude-ipc-mcp · Install

Installation

Quick Install (2 minutes)

# 1. Clone the repo
git clone https://github.com/jdez427/claude-ipc-mcp.git
cd claude-ipc-mcp

# 2. Install UV package manager
curl -LsSf https://astral.sh/uv/install.sh | sh

# 3. Install dependencies
uv sync

# 4. For Claude Code: Run installer
./scripts/install-mcp.sh

# 5. Restart Claude Code and test
# Type: Register this instance as myname

Claude Desktop Configuration

Add to your Claude Desktop config.json:

{
  "mcpServers": {
    "claude-ipc": {
      "command": "uv",
      "args": ["run", "claude-ipc-mcp"]
    }
  }
}

filesystem · Install

Installation

Using NPX

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/path/to/allowed/directory"
      ]
    }
  }
}

Using Docker

{
  "mcpServers": {
    "filesystem": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
        "mcp/filesystem",
        "/projects"
      ]
    }
  }
}

VS Code Extension

Click the installation buttons in the README to install directly in VS Code.

Comparison generated from public README + GitHub signals. Last updated automatically.