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Showing 169–192 of 1,418 for SSE-based Server and Client for

Supabase MCP Server

A Model Context Protocol (MCP) server that provides AI assistants with the ability to interact with Supabase databases through standardized tools.

TaskManager

Enables breaking down complex tasks into manageable steps with queue-based planning and execution, maintaining context across conversations through structured…

NASA Earthdata

Provides a bridge to NASA's Earthdata platform for searching and retrieving Earth science datasets and data granules based on keywords, temporal ranges, and…

AWS Resources

Provides a Python-based interface for executing AWS queries across services like S3 and CodePipeline, enabling DevOps tasks and cloud resource management.

Supabase NextJS MCP Server

A TypeScript-based MCP server for handling a simple notes system with NextJS that supports creating and summarizing text notes using MCP concepts.

Google Maps

Integrates with Google Maps API to enable location-based operations like place searching, geocoding, and geographical information retrieval within…

Mapbox

An MCP server for interacting with the Mapbox API, providing access to maps, navigation, and other location-based services.

BrowserCat

Enables LLMs to interact with web pages through cloud-based browser automation for navigation, screenshot capture, element interaction, and JavaScript…

Meraki Magic MCP

A Python-based MCP server for Cisco's Meraki Dashboard, providing tools to query the API for discovering, monitoring, and managing your Meraki environment.

Akash Network

Bridges AI agents with the Akash Network, enabling deployment and management of decentralized applications on blockchain-based cloud computing infrastructure.

Mcp Nomad

A Go-based MCP server for managing HashiCorp Nomad resources, including jobs, deployments, nodes, and cluster operations.

mcpo-docker

An example Docker image for mcpo, a tool that exposes MCP (Model Context Protocol) servers as OpenAPI-compatible HTTP endpoints for OpenWebUI.

WaveGuard

Physics-based anomaly detection via MCP — send any data, get anomalies back using wave-equation dynamics. No training pipelines, no model files.