"Finding a Simple SSE Server for Testing Goose Remote Extension Capability" matching MCP servers:

Enables authorized CAPTCHA recovery for goose agents via CapSolver with bounded polling, result validation, and human handoff for failure cases.

Integrates Square sandbox catalog and orders management with voice commands (via ElevenLabs) and hand gesture controls (via MediaPipe) through an interactive seller dashboard in Goose Desktop.

Enables goose to control the Herdr terminal workspace manager, allowing AI agents to inspect and manipulate workspaces, tabs, panes, run commands, and manage agent states.

Adds vision capabilities to text-only coding models via MCP, enabling image analysis, OCR, and visual reasoning without switching the main model.

Enables agents to search a local catalog, load skills, inspect MCP tool schemas, and invoke selected tools through a single unified MCP tool, reducing per-request overhead.

Serves an AI coding agent a searchable index of a codebase's existing capabilities and past incidents, so it can find and reuse what already exists before writing new code. Also exposes blast-radius analysis for shared code and lets the agent reindex the knowledge base, all via local retrieval with no model calls or API keys.

Exposes hundreds of MCP tools through just four (browse, search, load schemas, and call), so models pay only for the tool definitions they need instead of every schema on every turn. Every call is validated and guarded, with unknown-argument rejection, placeholder detection, timeouts, an audit log, and error hints.

A template and demonstration project for building, testing, and deploying remote MCP servers using FastMCP and uv. It provides a foundational structure for creating MCP-compliant tools that can be hosted publicly and integrated with LLM agents.

Enables submitting FMF-based test requests to Testing Farm and listing available OS composes for testing.

Provides MCP tools to search a cached index of installed agent skills, MCP tools, and plugins, inspect exact results, and activate skills for supported agents.

Enables natural-language chat-driven API testing, letting users upload API specs, run deterministic pytest checks against live targets, inspect results, create defects, and view failure trends.

Enables host agents to resolve tasks against a local library of reviewed Skills and Experts, then retrieve selected capabilities on demand through MCP tools without loading the full catalog into context.

An SSE-based MCP server for retrieving real-time weather data for a specified location, supporting current conditions and forecasts.

A full-stack API automation testing server that parses OpenAPI/Swagger/Postman/HAR specs, generates comprehensive test scenarios and executable code, and provides AI-powered review and auto-fix.

A simple HTTP-based MCP server that provides demo tools (get_test_string, echo, check_maintenance), greeting prompts, and test resources, with optional OAuth 2.1 support.

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

MCP server that enables AI agents to programmatically run tests, query results, and receive intelligent recommendations about test execution strategy.

A simple MCP server in Python, configurable via environment variables and database, designed for integration with Claude Desktop.

A minimal MCP server that exposes a single tool to query local hardware information (OS, CPU, memory, architecture).

Enables MCP clients like Claude to query Chinese A-share market data, including K-line charts with forward/backward adjustment, limit-up and limit-down pools, per-stock fund flows, index quotes, and stock news, with automatic symbol normalization and retry handling for throttled data sources.

Provides A-share (Chinese stock market) quantitative analysis through tools for stock screening, northbound capital flow tracking, dragon-tiger list analysis, margin trading, sector analysis, technical indicators, IPO info, and limit-up/down statistics using akshare data.

A FastAPI MCP server that uses Server-Sent Events as a transport layer, providing echo functionality through tools, resources, and prompts.

A multi-language testing automation server that enables AI assistants to discover, plan, and execute tests across six major programming languages. It provides comprehensive tools for repository scanning, automated test execution, and detailed coverage reporting.

A server that enables interaction with Upbit cryptocurrency exchange API through Server-Sent Events, allowing users to access market data, manage accounts, execute trades, and perform technical analysis.

A simple MCP server offering three utility tools: UUID generation, temperature conversion, and text statistics.

提供A股实时行情、历史K线、财务报表、技术指标等全方位数据查询的MCP服务器，支持盘中即时更新及批量查询。

Provides project-scoped cross-session memory for AI agents through memory_* MCP tools backed by Graphiti and FalkorDB, enabling memory storage and retrieval across sessions.

Extends the official Obsidian MCP server with intelligent learning and second-brain features, including AI-generated challenges, progress analytics, spaced repetition, and knowledge gap analysis.

A self-contained, dependency-free MCP server that provides utility tools for time, date, mathematical calculations, and shell command execution. It supports remote connectivity through SSE and is designed for easy deployment via Docker.

A simple MCP server for utilizing prompts defined in YAML files.