MCP Reticle
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.
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
Maintainer
Works with
Installation
Manual Installation
npx mcp-reticleConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
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
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-reticleWrap 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/workUpdate 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"]
}
}
}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(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(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-memoryMCP 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.
MCP Reticle Alternatives — Similar Developer Tools Servers
Looking for alternatives to MCP Reticle? Here are other popular developer tools servers you can use with Claude, Cursor, and VS Code.
Ecc
★ 188.2kThe agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Javaguide
★ 155.8kJava 面试 & 后端通用面试指南,覆盖计算机基础、数据库、分布式、高并发、系统设计与 AI 应用开发
Gemini CLI
★ 104.5kA secure MCP server that wraps the Google Gemini CLI, allowing clients to query Gemini models using local OAuth sessions without requiring an API key. It provides tools for model interaction and diagnostics with built-in protection against command in
Awesome MCP Servers
★ 87.3k⭐ Curated list of Model Context Protocol (MCP) servers - tools that extend Claude Desktop, Cursor, Windsurf, and other MCP clients with custom capabilities.
MCP Servers
★ 86.0kModel Context Protocol Servers
CC Switch
★ 77.5kA cross-platform desktop All-in-One assistant for Claude Code, Codex, OpenCode, OpenClaw, Gemini CLI & Hermes Agent. Only official website: ccswitch.io
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.
Set Up MCP Reticle in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
Ready to use MCP Reticle?
Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.