explaingit

mxzz/interceptor-demo

Analysis updated 2026-05-18

★ 1TypeScriptAudience · developerComplexity · 2/5Setup · easy

TLDR

A free demo MCP server that adds smarter code search to AI editors like Cursor and VS Code, reducing token usage by up to 91% compared to raw grep output.

Mindmap

mindmap
  root((Interceptor Demo))
    What it does
      Exact code search
      Natural language search
      Token reduction
    How it works
      MCP server
      Fully offline
      Local dashboard
    Setup
      Windows batch
      macOS Linux shell
      Node.js 18+
    Full version
      More tools
      Analytics
      Ollama support
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Code map

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filefunction / class

What do people build with it?

USE CASE 1

Reduce token costs in Cursor or Claude by installing the MCP server so it returns only relevant code snippets.

USE CASE 2

Search your codebase using natural language from your AI editor without sending the entire project as context.

USE CASE 3

Benchmark token savings on your own codebase before deciding whether to buy the full Interceptor product.

What is it built with?

TypeScriptNode.js

How does it compare?

mxzz/interceptor-demoabidoo22/pixelorama-mcpaditya-pandey/slate
Stars111
LanguageTypeScriptTypeScriptTypeScript
Setup difficultyeasymoderateeasy
Complexity2/53/52/5
Audiencedevelopervibe codergeneral

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min

Requires Node.js 18+, run the install script then reload MCP servers in your IDE.

In plain English

Interceptor Demo is a free preview of a commercial code search tool designed for AI-powered code editors like Cursor, VS Code, and Claude. It works as an MCP server, which is a type of plugin that extends how AI assistants inside these editors search and retrieve code from your project. The goal is to send AI editors only the code snippets that are actually relevant to a question, rather than flooding them with raw search results. Fewer tokens per query means lower costs and faster responses. The demo includes two search tools: one for exact code search (finding specific function names, strings, or patterns) and one for natural-language search (finding code that matches a description). According to benchmarks in the repo, exact search saves about 41% of the tokens that a plain grep-and-dump approach would use, while natural-language search saves around 91%. The demo runs entirely offline. No code is uploaded anywhere, and no API keys are required. An optional local dashboard at port 8791 shows basic session information. Installation is handled by a one-step script for Windows, macOS, or Linux. After installing, you enable the MCP server in your editor settings using the key interceptor-demo. The demo is limited to two tools. The paid full version adds more search tools, detailed analytics, and optional AI-assisted search that can use either a local model via Ollama or an online provider. The project is written in TypeScript and requires Node.js 18 or later. No open-source license is stated in the README.

Copy-paste prompts

Prompt 1
How do I install the Interceptor Demo MCP server on macOS and enable it in Cursor?
Prompt 2
How do I use the code_search and semantic_code_search tools from Interceptor Demo inside VS Code?
Prompt 3
How does Interceptor Demo filter code search results to reduce the tokens sent to an AI editor?

Frequently asked questions

What is interceptor-demo?

A free demo MCP server that adds smarter code search to AI editors like Cursor and VS Code, reducing token usage by up to 91% compared to raw grep output.

What language is interceptor-demo written in?

Mainly TypeScript. The stack also includes TypeScript, Node.js.

How hard is interceptor-demo to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is interceptor-demo for?

Mainly developer.

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