@microagents/server-brave-search: MCP Server & API Integration

MCP server for Brave Search API integration

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✨ Research And Data

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About @microagents/server-brave-search

What is @microagents/server-brave-search: MCP Server & API Integration?

This project is an open-source fork of the Brave Search server and API framework originally developed by Anthropic, PBC. It provides developers with a streamlined way to integrate advanced search capabilities into their applications, leveraging the MCP (Model Context Protocol) architecture for robust data handling. Think of it as a toolkit that bridges your app with powerful search infrastructure, but with flexibility to customize workflows.

How to use @microagents/server-brave-search: MCP Server & API Integration?

Start by cloning the repository and installing dependencies using npm/yarn. The core workflow involves three steps: configuring the server settings in config.js, defining search parameters via the REST API endpoints, and implementing result parsing logic in your client code. For example, a basic search request would look like:

GET /api/v1/search?q=query+terms&limit=10

Note: Always validate input parameters to prevent injection attacks.

@microagents/server-brave-search Features

Key Features of @microagents/server-brave-search: MCP Server & API Integration?

Automatic scaling via MCP's context-aware routing
Support for custom ranking models through plugin architecture
Real-time indexing updates with WebSocket notifications
Comprehensive logging with structured JSON output

One standout feature is the built-in rate limiting middleware, which we personally find essential for production environments.

Use cases of @microagents/server-brave-search: MCP Server & API Integration?

Perfect for scenarios requiring:

Enterprise knowledge management systems
Academic research platforms with citation tracking
E-commerce product discovery engines

@microagents/server-brave-search FAQ

FAQ from @microagents/server-brave-search: MCP Server & API Integration?

Do I need to host the server myself?: Yes, this is a self-hosted solution. We recommend Kubernetes deployments for production workloads.
Is it compatible with existing search engines?: Works best with Elasticsearch 8.x+, but has experimental Solr support through adapter plugins.
What about compliance?: Includes GDPR-compliant data anonymization middleware as an optional module.

For more details, check out the original Anthropic repository for background context.

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