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claude-context

Index codebases and search code by natural language via MCP.

25|10|Updated Apr 1, 2026
Search Tags:#indexing#codebase#search#mcp#semantic-search#natural-language
One-click install
npx skills add https://github.com/neuron-one/GODMODE --skill claude-context-neuron-one
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: claude-context
Source: https://github.com/neuron-one/GODMODE/tree/main/skills/development/claude-context
Command: npx skills add https://github.com/neuron-one/GODMODE --skill claude-context-neuron-one

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

MCP plugin indexes your codebase and enables natural language search over code, reducing time spent locating relevant snippets.

Core Features & Use Cases

  • Indexes large codebases and enables searches by description rather than filename.
  • Loads only the relevant code fragments on demand to save bandwidth and tokens.
  • Use Case: quickly locate function implementations or references across thousands of files without manual scanning.

Quick Start

Install the claude-context MCP plugin and index my codebase so I can search by natural language.

Frequently Asked Questions about claude-context

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I search a large codebase by description instead of filename?▼

Semantic code search lets you query a large codebase using natural language descriptions. By indexing the repository via MCP, you can locate function implementations or references across thousands of files without manual scanning.

How do I set up natural language code search for my repository?▼

To enable natural language code search, install the MCP plugin and index your codebase. Once indexing completes, you can query the repository by description to retrieve relevant code snippets on demand.

Does semantic code search work with very large codebases?▼

Yes, semantic code search is specifically designed for large codebases. It loads only the relevant code fragments at query time to save bandwidth and tokens, making it efficient for repositories with thousands of files.

What is the best way to locate function implementations across thousands of files?▼

Using natural language search over an indexed codebase is the best way to locate function implementations across thousands of files. The MCP plugin retrieves only the relevant code segments based on your query description.

Do I need an MCP plugin to perform semantic search on my code?▼

Yes, MCP plugin setup is required to perform semantic search on your code. The plugin handles the codebase indexing and processes natural language queries to return relevant code fragments.

Why does semantic code search load only relevant code fragments?▼

Semantic code search loads only relevant code fragments at query time to save bandwidth and tokens. This on-demand retrieval ensures efficient querying of large codebases without loading unnecessary files.

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