Exa MCP Server
@it-beard
Exa MCP Server について
AI-powered code search MCP server using Exa API for intelligent code search and retrieval in AI assistants
基本情報
設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"exa": {
"command": "node",
"args": [
"/path/to/exa-server/build/index.js"
],
"env": {
"EXA_API_KEY": ""
}
}
}
}ツール
ツールは検出されませんでした
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
What is Exa MCP Server?
An MCP server that provides AI-powered code search capabilities using the Exa API. It lets developers search for code examples and documentation using natural language queries.
How to use Exa MCP Server?
Clone the repository, install dependencies (npm install), and build the project (npm run build). Configure your Exa API key in the MCP settings file (tested with Cline) by adding the server's command, arguments, and EXA_API_KEY environment variable. Use the search tool with inputs query and numResults, or access resources like exa://search/{query} and exa://last-search/result.
Key features of Exa MCP Server
- Perform AI-powered code searches using natural language queries
- Retrieve relevant code examples and documentation
- Configurable number of search results
- JSON response format with rich metadata
- Resources for query-specific and last search results
Use cases of Exa MCP Server
- Find code snippets based on a description of functionality
- Locate documentation for a programming concept or library
- Quickly get recent search results for iterative development
FAQ from Exa MCP Server
What do I need to run the Exa MCP Server?
You need Node.js installed, an Exa API key, and the server built from source.
How do I configure the number of search results?
In the search tool, set the numResults parameter (default is 10) to adjust the number of returned results.
How do I access search results?
You can use the search tool directly or read from the exa://search/{query} and exa://last-search/result resources.
Is the Exa MCP Server limited to code search?
Yes, the README states it provides AI-powered code search, focusing on code examples and documentation.
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