"Search Capabilities" matching MCP servers:

Enables integration with Google Cloud Vertex AI Search for enterprise search capabilities through a stdio-based MCP server.

Unifies Fiori elements, UI5, CAP, and SAP BTP development capabilities in a single MCP server, enabling app generation and modification, documentation search, OData metadata handling, and UI5 scaffolding without SAP runtime dependencies.

Provides AI assistants with comprehensive OpenShift/Kubernetes cluster management capabilities through the oc CLI.

Enables Claude to interact with core AWS services like S3, EC2, RDS, and CloudWatch, along with a generic SDK wrapper for any AWS operation. It also supports cost monitoring and optional vector store capabilities for document ingestion and search.

A Model Context Protocol server that allows creation and management of multiple Fireproof JSON databases with CRUD operations, querying capabilities, and cloud synchronization for sharing databases with others.

A Model Context Protocol server that provides enhanced real-time search capabilities by integrating with Alibaba Cloud IQS APIs to deliver clean, accurate results from multiple data sources.

Enables AI models to interact with Tencent Cloud COS for cloud storage operations (upload, download, list files) and advanced media processing capabilities (image super-resolution, QR code recognition, video thumbnails, document conversion, and natural language-based file search).

Provides a modular MCP server to integrate with IBM Data Intelligence services, enabling secure interaction with data intelligence capabilities via tools and skills.

A local MCP server that integrates with Claude Desktop, enabling RAG capabilities to provide Claude with up-to-date private information from custom LlamaCloud indices.

Provides intelligent guidance for EMR cluster management, configuration recommendations, and monitoring capabilities

Provides secure integration between MCP clients and IBM Data Intelligence services, enabling AI assistants to interact with IBM's data intelligence capabilities for data management and analytics operations.

A FastMCP-powered Model Context Protocol server for Google Ads API integration with automatic OAuth 2.0 authentication Connect Google Ads API directly to MCP Clients with seamless OAuth 2.0 authentication, automatic token refresh, GAQL querying, and keyword research capabilities.

Enables interaction with the Meraki Dashboard API for LLMs, allowing seamless integration of Meraki network management capabilities within an AI assistant's conversational interface.

A Node.js package providing Model Context Protocol server infrastructure for AWS Lambda functions with streaming response capabilities through Server-Sent Events.

Enables AI assistants to query, search, and analyze logs across Google Cloud Platform projects. It supports advanced filtering by severity or resource type and provides detailed log entry retrieval and project listing capabilities.

A boilerplate for building and deploying remote MCP servers on Google Cloud with authentication, providing a foundation to experiment with MCP tools and capabilities.

Enables interaction with Azure AI Foundry services including model exploration and deployment, knowledge management through AI Search, evaluation of text and agents, and fine-tuning operations. Provides unified access to Azure's AI capabilities through natural language commands.

Enables management of Google Cloud Dataproc clusters and jobs through 22 production-ready tools, featuring intelligent parameter injection, semantic search capabilities, and enterprise-grade security for seamless big data operations.

A Model Context Protocol server that provides programmatic access to ONOS SDN controller's network management capabilities, enabling device control, topology management, and analytics through ONOS's REST API.

A Python backend implementing the Model Context Protocol with Azure OpenAI integration, enabling applications to interact with LLMs through a standardized interface with streaming capabilities.