"Search for SSE (Server-Sent Events, Streaming SIMD Extensions, or related technologies)" matching MCP servers:

Exposes PICO XR building blocks as MCP tools, enabling AI agents to programmatically configure XR scenes for PICO devices through idempotent, non-destructive operations.

Provides native integration with Apple Reminders and Calendar on macOS, enabling full CRUD operations and smart task management through the Model Context Protocol. It allows users to search, create, and organize reminders and calendar events using natural language via the macOS EventKit framework.

Proxies STDIO-based MCP clients to streaming HTTP MCP servers, enabling local clients to connect to remote servers.

Node.js server implementing Model Context Protocol (MCP) for filesystem operations, enabling read/write files, directory management, search, and metadata retrieval via SSE transport.

Provides live SEC filing events including resolved activist stakes (13D) and typed 8-K, S-1, and merger filings via the EDGAR Events API.

Bridges DeepSeek Harness streaming events to external clients via MCP and ACP, enabling real-time progress notifications for tool calls and status updates.

MCP server for WeChat automation, supporting message sending, chat history retrieval, and contact list management via SSE protocol.

MCP server that gives AI agents access to current web information through web_search and fetch_url tools, using Tavily, Brave, and DuckDuckGo providers with automatic fallback.

Provides DuckDuckGo web search through MCP with automatic failover across multiple backends, enabling reliable query results even when individual backends are rate-limited or blocked.

Provides AI assistants with specialized tools to interact with NIST's Open Security Controls Assessment Language (OSCAL) framework. It enables agents to retrieve schemas, explore models, and generate valid OSCAL documentation for security compliance automation.

Enables semantic search over markdown files to find related notes by meaning rather than keywords, and automatically detect duplicate content before creating new notes.

An MCP server that exposes macOS Spotlight search as tools, wrapping mdfind and mdls to provide full-text and metadata file search across the system.

Provides fast static embedding, similarity, and search capabilities via MCP tools and an OpenAI-compatible HTTP API using a tiny 16M-parameter English embedding model.

Enables Large Language Models to access and manipulate Autodesk Revit models through a pyRevit-based bridge and the Model Context Protocol.

Provides integration with Everything Search Engine allowing powerful file search capabilities through the Model Context Protocol with advanced search options like regex, case sensitivity, and sorting.

A customizable Model Context Protocol server implementation that enables AI models to interact with external tools including weather queries, Google search, and camera control functionality.

MCP server for searching files on macOS by name or content using semantic and lexical search, providing file paths and line numbers for agents to read from.

Multi-engine aggregated search MCP server that combines results from 7 search engines with deduplication, relevance ranking, and web page content extraction.

Provides fully local, privacy-preserving semantic search over file names and paths via MCP, using BGE embeddings for fuzzy matching and supporting incremental updates, watch mode, and a loopback-only HTTP server.

Enables free web searching using Google search results without the need for API keys or authentication. It returns structured data including titles, URLs, and descriptions with configurable result limits.