Sourcegraph FAQs

Question 1

What is the Sourcegraph MCP server?

Accepted Answer

It's a Model Context Protocol (MCP) server that seamlessly integrates Sourcegraph's universal code search with AI assistants and Large Language Models (LLMs) to provide powerful, AI-enhanced code search capabilities.

Question 2

Is it compatible with specific AI tools or environments?

Accepted Answer

Yes, it's designed for seamless integration with popular AI tools like Cursor, Claude Code, Codex CLI, and Gemini CLI. It also ensures compatibility with Python 3.10+ and 3.12+ environments.

Question 3

What primary tools are available through the MCP server?

Accepted Answer

The server exposes three main tools: `search` for advanced code queries, `search_prompt_guide` for LLM-guided query construction, and `fetch_content` to retrieve specific file or directory contents from repositories.

Question 4

How does this tool benefit AI assistants and developers?

Accepted Answer

It empowers AI assistants to efficiently understand and retrieve relevant code patterns from vast codebases. Developers gain an AI-enhanced way to navigate, search, and analyze code, significantly boosting productivity.

Question 5

What unique code search capabilities does it offer?

Accepted Answer

It provides AI-enhanced code search using Sourcegraph, supporting advanced query syntax (regex, filters, boolean operators), repository discovery, and direct content fetching, all optimized for LLM integration.

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Key Features

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About

Key Features

Use Cases