"MCP servers with SSE endpoints" matching MCP servers:

Integrates the LINE Messaging API with AI agents via the Model Context Protocol, supporting both stdio and SSE transport protocols. It allows agents to send messages, manage rich menus, and retrieve user profile information for LINE Official Accounts.

Enables real-time data streaming through Server-Sent Events with timestamp broadcasting and server monitoring capabilities. Optimized for deployment on Render.com with health checks and status endpoints.

A generic MCP server that dynamically exposes any OpenAPI-documented REST API to LLMs by auto-discovering endpoints. It provides tools for exploring API capabilities and making authenticated requests directly through natural language interfaces.

MCP server for Vaultwarden/Bitwarden vault management. Enables AI agents to securely create, search, read, and update vault items via the official Bitwarden CLI, with safe-by-default redaction and support for both stdio and SSE transports.

Enables Claude to interact with FTP servers through natural language commands, allowing users to list directories, download/upload files, create directories, and delete files/directories on FTP servers.

A TypeScript-based MCP server that enables AI assistants to execute HTTP requests with full control over methods, headers, and body content. It facilitates seamless interaction with web APIs and endpoints through a versatile tool that handles automatic JSON formatting and response truncation.

Enables direct interaction with Discord servers to send messages, read channel history, and post rich embeds through natural conversation. It provides tools for listing channels and managing communication within Discord guilds using the Model Context Protocol.

Enables AI agents to programmatically inspect, test, and validate other MCP servers by exposing MCP Workbench capabilities as structured tools. It supports automated test spec generation, execution, and detailed failure analysis to ensure server reliability.

A lightweight MCP server providing utility tools for math, text processing, data conversion, and URL fetching. It supports both STDIO and SSE communication modes for seamless integration with Claude Desktop and remote AI agents.

A powerful MCP server for interacting with Trello boards, lists, and cards via AI Hosts.

A server based on the MCP framework that provides remote server management capabilities through SSH, supporting features like connection pooling, file transfers, and remote command execution.

Enables AI assistants to interact with the Multilead platform for lead management, email campaigns, conversations, webhooks, and analytics through 74 API endpoints.

A tool that dynamically generates and configures MCP servers by automatically creating necessary directories and files according to user specifications.

Multi-mode MCP server supporting both Claude Desktop (STDIO) and OpenAI (HTTP/SSE) integrations with file operations including read, write, delete, and search capabilities.

Enables sending messages to webhook endpoints through the MCP protocol, supporting custom content, display names, and avatar URLs.

Enables AI agents to generate and manage specialized bug bounty hunting workflows including reconnaissance, vulnerability testing, OSINT gathering, and file upload testing. Provides REST API endpoints for comprehensive security assessments with intelligence-driven vulnerability prioritization.

Wraps all Tencent Ads Marketing API v3.0 endpoints as MCP tools, enabling AI assistants to directly manage ads, creatives, reports, and more via natural language.

A starter template for building Model Context Protocol servers that can be integrated with Cursor or Claude Desktop, allowing developers to create custom tools and extensions for AI assistants.

Enables AI assistants to interact with ManageEngine OpManager for network monitoring and IT operations management. Provides credential-less access to 85+ API endpoints for managing devices, alarms, discovery, dashboards, and reports through natural language.

A central hub that aggregates multiple MCP resource servers into a single unified interface, enabling users to access tools and capabilities from multiple backend servers through one connection point.