MCP Reticle

v1.0.0Developer Toolsstable

Reticle intercepts, visualizes, and profiles JSON-RPC traffic between your LLM and MCP servers in real-time, with zero latency overhead. Stop debugging blind. Start seeing everything.

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What is MCP Reticle?

MCP Reticle is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to reticle intercepts, visualizes, and profiles json-rpc traffic between your llm and mcp servers in real-time, with zero latency overhead. stop debugging blind. start seeing everything.

Reticle intercepts, visualizes, and profiles JSON-RPC traffic between your LLM and MCP servers in real-time, with zero latency overhead. Stop debugging blind. Start seeing everything.

This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Reticle intercepts, visualizes, and profiles JSON-RPC traffi

Use Cases

JSON-RPC traffic visualization
Agent-to-MCP debugging
Real-time performance profiling
soth-ai

Maintainer

LicenseMIT License
Languagerust
Versionv1.0.0
UpdatedMay 5, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx mcp-reticle

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use MCP Reticle

MCP Reticle is a proxy and debugging UI for the Model Context Protocol — often described as 'the Wireshark for MCP'. It intercepts all JSON-RPC traffic between your AI client and any MCP server, visualizes raw requests, responses, and notifications in real time, correlates request-response pairs, profiles latency, and captures server stderr and crash output. Reticle supports stdio, Streamable HTTP, WebSocket, and HTTP/SSE transports, making it an essential tool when debugging agent-to-server integration issues or optimizing MCP server performance.

Prerequisites

  • Node.js (for npm install) or Python 3.8+ (for pip install), or Homebrew on macOS
  • An existing MCP server you want to debug (any transport)
  • An MCP-compatible client such as Claude Desktop, Cursor, or Claude Code
  • Basic familiarity with JSON-RPC and MCP server configuration
1

Install mcp-reticle globally

Install the Reticle binary using your preferred package manager. The npm package, PyPI package, and Homebrew formula all install the same mcp-reticle CLI.

npm install -g mcp-reticle
# or: pip install mcp-reticle
# or: brew install labterminal/mcp-reticle/mcp-reticle
2

Wrap your existing MCP server (stdio transport)

Instead of pointing your client directly at the MCP server command, wrap it with mcp-reticle run. Reticle acts as a transparent proxy — your client connects to Reticle, which forwards all traffic to the real server and records everything.

mcp-reticle run --name my-server -- npx -y @modelcontextprotocol/server-filesystem /Users/me/work
3

Update your MCP client configuration

Replace the MCP server's original command with the mcp-reticle wrapper in your client config file. Your client will now talk to Reticle, which proxies all traffic to the original server.

{
  "mcpServers": {
    "filesystem": {
      "command": "mcp-reticle",
      "args": ["run", "--name", "filesystem", "--", "npx", "-y", "@modelcontextprotocol/server-filesystem", "/Users/me/work"]
    }
  }
}
4

Launch the Reticle UI

In a separate terminal, start the Reticle desktop UI. It will open a browser window showing all intercepted JSON-RPC traffic in real time, with request-response correlation and latency timings.

mcp-reticle ui
5

(Optional) Proxy an HTTP-based MCP server

For Streamable HTTP or SSE MCP servers, use the proxy subcommand instead. Reticle will listen on a local port and forward traffic upstream, recording everything.

mcp-reticle proxy --name api --upstream http://localhost:8080 --listen 3001
6

(Optional) Log-only mode without the UI

If you only need a traffic log without the interactive UI, add the --log flag. This writes all intercepted messages to stdout, suitable for piping to a file or log aggregator.

mcp-reticle run --log -- npx -y @modelcontextprotocol/server-memory

MCP Reticle Examples

Client configuration wrapping a filesystem server

This configuration for Claude Desktop replaces the direct filesystem server invocation with a Reticle-wrapped version so all traffic is intercepted.

{
  "mcpServers": {
    "filesystem": {
      "command": "mcp-reticle",
      "args": [
        "run",
        "--name",
        "filesystem",
        "--",
        "npx",
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/Users/me/work"
      ]
    }
  }
}

Prompts to try while inspecting traffic

Use these prompts in your AI client while Reticle UI is open to observe how the agent communicates with the MCP server.

- "List all files in my work folder" (triggers a tools/call to the filesystem server)
- "What tools does this MCP server expose?" (triggers a tools/list request — watch it in Reticle)
- "Read the file README.md from my work folder" (observe the full request/response cycle)
- "Why is this MCP server responding slowly?" (use Reticle latency view to diagnose)"

Troubleshooting MCP Reticle

mcp-reticle command not found after installation

Ensure your npm global bin directory is on your PATH (run npm bin -g to find it). For pip installs, verify that the Python scripts directory is on PATH. For Homebrew, run brew doctor to check for PATH issues.

The Reticle UI shows no traffic even though the client is connected

Confirm that your client config actually uses the mcp-reticle command — not the original server command. Restart the MCP client after saving the config change. Also verify the mcp-reticle daemon is running (the UI command starts it automatically).

Server stderr and crash output is not visible in the UI

Reticle captures stderr from the wrapped process automatically in stdio mode. If you are using the proxy command for HTTP-based servers, stderr capture is not available — switch to run mode for servers that support stdio.

Frequently Asked Questions about MCP Reticle

What is MCP Reticle?

MCP Reticle is a Model Context Protocol (MCP) server that reticle intercepts, visualizes, and profiles json-rpc traffic between your llm and mcp servers in real-time, with zero latency overhead. stop debugging blind. start seeing everything. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install MCP Reticle?

Follow the installation instructions on the MCP Reticle GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with MCP Reticle?

MCP Reticle works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is MCP Reticle free to use?

Yes, MCP Reticle is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.

Browse More Developer Tools MCP Servers

Explore all developer tools servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "mcp-reticle": { "command": "npx", "args": ["-y", "mcp-reticle"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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