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Vetted Servers(2866)
zenfeed
by glidea
An AI-powered information hub that acts as an intelligent RSS reader, real-time news knowledge base, and personal assistant for monitoring events and delivering analysis reports.
An AI-powered information hub that acts as an intelligent RSS reader, real-time news knowledge base, and personal assistant for monitoring events and delivering analysis reports.
Setup Requirements
- ⚠️Docker and Docker Compose are required for deployment.
- ⚠️Requires API keys for Large Language Models (LLMs), such as SiliconFlow or Google Gemini. These are not free.
- ⚠️Lack of authentication means strict firewall/security group rules are CRITICAL to prevent API_KEY leakage if exposed to public networks.
- ⚠️Relies on an RSSHub instance (provided in docker-compose, but needs to be functional).
- ⚠️Content processing using LLMs can incur significant token costs.
Verified SafeView Analysis
Unity-MCP
by IvanMurzak
AI-powered game development assistant for Unity Editor and runtime, bridging Large Language Models (LLMs) with Unity's API to automate tasks, generate code, and debug projects.
AI-powered game development assistant for Unity Editor and runtime, bridging Large Language Models (LLMs) with Unity's API to automate tasks, generate code, and debug projects.
Setup Requirements
- ⚠️Requires Docker for recommended deployment (or manual binary setup).
- ⚠️Requires Unity MCP Plugin installed in a Unity Editor project.
- ⚠️Requires a compatible MCP Client (e.g., Claude Code, Cursor) for interaction.
- ⚠️Unity project path cannot contain spaces for proper plugin installation and server operation.
Review RequiredView Analysis
Awesome-MCP-Servers
by YuzeHao2023
A curated, community-driven list of Model Context Protocol (MCP) servers, tools, frameworks, clients, and utilities, enabling AI models to securely interact with local and remote resources.
A curated, community-driven list of Model Context Protocol (MCP) servers, tools, frameworks, clients, and utilities, enabling AI models to securely interact with local and remote resources.
Verified SafeView Analysis
kmcp
by kagent-dev
Kubernetes controller and CLI for declarative deployment and management of Model Context Protocol (MCP) servers, simplifying local development to production.
Kubernetes controller and CLI for declarative deployment and management of Model Context Protocol (MCP) servers, simplifying local development to production.
Setup Requirements
- ⚠️Requires a Kubernetes cluster with `kubectl` access.
- ⚠️Requires Helm 3.0+ for controller installation.
- ⚠️Local development tools depend on the chosen framework (e.g., Docker for building, Node.js/npm for `npx`, Python/uv, Go, Java/Maven).
Verified SafeView Analysis
brave-search-mcp-server
by brave
Integrates the Brave Search API to provide comprehensive search capabilities including web, local business, image, video, news, and AI-powered summarization.
Integrates the Brave Search API to provide comprehensive search capabilities including web, local business, image, video, news, and AI-powered summarization.
Setup Requirements
- ⚠️Requires a Brave Search API key, obtainable from brave.com/search/api/. Different plans (Free/Pro) offer varying query limits and features.
- ⚠️Full local search capabilities and AI summarization (`brave_local_search`, `brave_summarizer`) require a Brave Search API Pro plan.
- ⚠️The server defaults to STDIO transport. If HTTP transport is desired, it must be explicitly configured via environment variable (`BRAVE_MCP_TRANSPORT=http`) or command-line argument (`--transport http`).
Verified SafeView Analysis
mcp
by hyperbrowserai
This server provides Hyperbrowser's Model Context Protocol (MCP) interface, offering tools for web scraping, structured data extraction, crawling, and general-purpose browser automation using AI agents like OpenAI's CUA and Anthropic's Claude Computer Use.
This server provides Hyperbrowser's Model Context Protocol (MCP) interface, offering tools for web scraping, structured data extraction, crawling, and general-purpose browser automation using AI agents like OpenAI's CUA and Anthropic's Claude Computer Use.
Setup Requirements
- ⚠️Requires a Hyperbrowser API Key (HYPERBROWSER_API_KEY or HB_API_KEY environment variable).
- ⚠️Certain advanced features (e.g., CAPTCHA solving, Proxies, Batch Scrape, Static IPs) require a paid Hyperbrowser plan.
- ⚠️Requires Node.js (v18.0.0 or higher).
- ⚠️An OpenAI API Key (OPENAI_API_KEY environment variable) is required for some features like documentation summarization scripts and AI function calling integrations with OpenAI models.
Verified SafeView Analysis
geminimcp
by GuDaStudio
Integrates Google's Gemini CLI with Claude Code as an MCP server, enabling Claude Code to leverage Gemini for AI-assisted programming tasks, with a focus on frontend design.
Integrates Google's Gemini CLI with Claude Code as an MCP server, enabling Claude Code to leverage Gemini for AI-assisted programming tasks, with a focus on frontend design.
Setup Requirements
- ⚠️Requires installed and configured Claude Code
- ⚠️Requires installed and configured Gemini CLI (implying Gemini's own API key setup)
- ⚠️Requires 'uv' tool for installation
- ⚠️Windows users are strongly recommended to run this project in WSL
Verified SafeView Analysis
MCP-oura
by YuzeHao2023
An MCP server that provides language models access to Oura API for querying sleep, readiness, and resilience health data.
An MCP server that provides language models access to Oura API for querying sleep, readiness, and resilience health data.
Setup Requirements
- ⚠️Requires an Oura API token (Personal Access Token from Oura Developer Portal)
- ⚠️Requires Python 3.12 or newer
- ⚠️Uses `uvx` for execution, as demonstrated for Claude for Desktop integration.
Verified SafeView Analysis
frontmcp
by agentfront
FrontMCP is a TypeScript-first framework for building Model Context Protocol (MCP) servers, enabling AI models to interact with external systems through typed tools, resources, and prompts, including dynamic UI rendering and robust authentication.
FrontMCP is a TypeScript-first framework for building Model Context Protocol (MCP) servers, enabling AI models to interact with external systems through typed tools, resources, and prompts, including dynamic UI rendering and robust authentication.
Setup Requirements
- ⚠️Requires Node.js >= 22
- ⚠️Requires npm >= 10 (or Yarn)
- ⚠️Some features (e.g., Caching, Employee Time app) default to requiring a local Redis instance running on `localhost:6379`
- ⚠️Authentication configurations (e.g., `IDP_PROVIDER_URL`, `IDP_EXPECTED_AUDIENCE`) should be set via environment variables for production environments.
Verified SafeView Analysis
mcp-toolkit
by nuxt-modules
A Nuxt module for easily creating a Model Context Protocol (MCP) server directly within a Nuxt application, allowing AI assistants to access defined tools, resources, and prompts.
A Nuxt module for easily creating a Model Context Protocol (MCP) server directly within a Nuxt application, allowing AI assistants to access defined tools, resources, and prompts.
Setup Requirements
- ⚠️Requires `zod` as a peer dependency.
- ⚠️For Cloudflare Workers/Pages deployment, the `agents` package is required.
- ⚠️To use Nuxt server utilities like `useEvent()` within handlers, `experimental.asyncContext: true` must be enabled in `nuxt.config.ts`.
- ⚠️Initial setup requires `pnpm install` followed by `pnpm run dev:prepare` to generate type stubs before running development servers.
Verified SafeView Analysis
spring-documentation-mcp-server
by andrlange
Provides a Model Context Protocol (MCP) server for comprehensive access to Spring ecosystem documentation, migration guides, code examples, language evolution, and Initializr metadata, primarily for AI agent consumption.
Provides a Model Context Protocol (MCP) server for comprehensive access to Spring ecosystem documentation, migration guides, code examples, language evolution, and Initializr metadata, primarily for AI agent consumption.
Setup Requirements
- ⚠️Requires PostgreSQL database.
- ⚠️Requires Java Development Kit (JDK) version 25.
- ⚠️Requires active internet access to `spring.io`, `start.spring.io`, `api.github.com`, and `docs.spring.io` for data synchronization.
- ⚠️Initial startup involves a potentially long data synchronization process to populate the knowledge base.
Verified SafeView Analysis
google-calendar-streamable-mcp-server
by iceener
Manage Google Calendar events (search, create, update, delete, respond, check availability) via a Model Context Protocol (MCP) server.
Manage Google Calendar events (search, create, update, delete, respond, check availability) via a Model Context Protocol (MCP) server.
Setup Requirements
- ⚠️Requires a Google Cloud Project with Google Calendar API enabled and OAuth consent screen/credentials configured.
- ⚠️For production deployments, origin validation (`isAllowedOrigin`) and token encryption (`RS_TOKENS_ENC_KEY` or `TOKENS_ENC_KEY`) must be explicitly hardened for security.
- ⚠️Cloudflare Worker deployment requires a Cloudflare KV namespace for token storage.