Sourcerer Mcp

Created By

st3v3nmw4 months ago

An MCP server for semantic code search & navigation that helps AI agents work efficiently without burning through costly tokens. Instead of reading entire files, agents can search conceptually and jump directly to the specific functions, classes, and code chunks they need.

# sourcerer

# code-search

Overview Content Tools Comments

Overview

what is Sourcerer MCP?

Sourcerer MCP is a server designed for semantic code search and navigation, enabling AI agents to efficiently locate specific functions, classes, and code chunks without the need to read entire files, thus conserving costly token usage.

how to use Sourcerer MCP?

To use Sourcerer MCP, install it via Go or Homebrew, configure it with your OpenAI API key, and set up your project workspace. Once configured, you can utilize its semantic search capabilities to find relevant code snippets.

key features of Sourcerer MCP?

Semantic search index for efficient code navigation
Integration with OpenAI API for generating embeddings
Automatic re-indexing of changed files
Support for multiple programming languages (Go, with plans for Python, TypeScript, JavaScript)

use cases of Sourcerer MCP?

Assisting AI agents in quickly finding relevant code snippets.
Reducing cognitive load by allowing conceptual searches instead of text matching.
Enhancing code navigation in large codebases.

FAQ from Sourcerer MCP?

What programming languages does Sourcerer MCP support?

Currently, it supports Go, with plans to add Python, TypeScript, and JavaScript.

Do I need an OpenAI API key to use Sourcerer MCP?

Yes, an OpenAI API key is required for generating embeddings.

How does Sourcerer MCP handle file changes?

It automatically re-indexes changed files and respects .gitignore files.

Server Config

{
  "mcpServers": {
    "sourcerer": {
      "command": "sourcerer",
      "env": {
        "OPENAI_API_KEY": "your-openai-api-key",
        "SOURCERER_WORKSPACE_ROOT": "/path/to/your/project"
      }
    }
  }
}

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