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Vetted Servers(8554)
Cypress-POM-Ready-To-Use
by padmarajnidagundi
This repository provides a production-ready Cypress automation framework for UI, API, accessibility, and visual regression testing, and it can expose its testing templates and documentation via the Model Context Protocol (MCP) as a filesystem server for AI assistants.
This repository provides a production-ready Cypress automation framework for UI, API, accessibility, and visual regression testing, and it can expose its testing templates and documentation via the Model Context Protocol (MCP) as a filesystem server for AI assistants.
Setup Requirements
- ⚠️Requires Node.js 18.x+ and npm 8.x+.
- ⚠️Running ChatGPT API tests (cypress/e2e/api/chatgpt/chatCompletion.cy.js) requires an OpenAI API Key, which is a paid service.
- ⚠️To use it as an MCP server, you'd need to install `@modelcontextprotocol/server-filesystem` and configure an MCP client.
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mcp-youtube
by kirbah
Empowers AI language models to retrieve token-optimized, structured YouTube data for video search, detail retrieval, transcript fetching, channel analysis, and trend discovery.
Empowers AI language models to retrieve token-optimized, structured YouTube data for video search, detail retrieval, transcript fetching, channel analysis, and trend discovery.
Setup Requirements
- ⚠️Requires a YouTube Data API v3 Key (usage is subject to Google's daily quota).
- ⚠️The 'findConsistentOutlierChannels' tool requires a MongoDB connection string (`MDB_MCP_CONNECTION_STRING`) and hardcodes the database name to 'youtube_niche_analysis'.
- ⚠️Requires Node.js version `>=20.0.0`.
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miyabi-mcp-bundle
by ShunsukeHayashi
An all-in-one MCP server providing a vast array of development, monitoring, and automation tools, enabling Claude Desktop and AI agents to perform complex software development, operations, and analysis tasks efficiently and securely.
An all-in-one MCP server providing a vast array of development, monitoring, and automation tools, enabling Claude Desktop and AI agents to perform complex software development, operations, and analysis tasks efficiently and securely.
Setup Requirements
- ⚠️Requires Node.js >= 18.0.0.
- ⚠️Full functionality requires various external CLI tools (e.g., git, tmux, docker, kubectl, sqlite3, psql, mysql, openssl, curl, nc) to be installed and in the system's PATH.
- ⚠️GitHub API Key (`GITHUB_TOKEN`) is highly recommended; without it, GitHub integration will be severely limited or non-functional. `MIYABI_REPO_PATH` defaults to `process.cwd()`, but for specific project contexts, it often needs explicit configuration.
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gns3-mcp-server
by Wael-Rd
Enables AI assistants to programmatically create, manage, and simulate network topologies within GNS3.
Enables AI assistants to programmatically create, manage, and simulate network topologies within GNS3.
Setup Requirements
- ⚠️Requires a running GNS3 server, by default on http://localhost:3080.
- ⚠️Requires GNS3 device templates (e.g., routers, switches, VPCS) to be installed in GNS3 for full functionality.
- ⚠️The `run.sh` script utilizes `uv` for virtual environment and dependency management; ensure `uv` is installed or modify the script to use `pip`.
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rust-code-mcp
by molaco
Semantic code search, navigation, and analysis for Rust codebases, integrating with an MCP client.
Semantic code search, navigation, and analysis for Rust codebases, integrating with an MCP client.
Setup Requirements
- ⚠️Requires an NVIDIA GPU (Maxwell or newer) with CUDA 12.x and cuDNN 9.x for GPU-accelerated embeddings, otherwise performance will be significantly slower.
- ⚠️Requires careful configuration of `LD_LIBRARY_PATH` for CUDA to function correctly when the server is spawned by an MCP client, or use the provided Nix flake for automated setup.
- ⚠️The `fastembed` crate (via `ort`) will download ONNX Runtime binaries and embedding models (~80MB for all-MiniLM-L6-v2) to `~/.cache/ort.pyke.io/` on first run, requiring internet access and disk space.
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mcp-tasks
by hugoduncan
Manages development tasks and workflows for AI agents using the Model Context Protocol (MCP), enabling persistent planning, category-based organization, and story-based development.
Manages development tasks and workflows for AI agents using the Model Context Protocol (MCP), enabling persistent planning, category-based organization, and story-based development.
Setup Requirements
- ⚠️Requires Clojure CLI tools for installation via git dependency method (Windows users must use this method).
- ⚠️Requires `curl` or `wget` for binary installation via the `install` script (Linux/macOS only).
- ⚠️Native Windows binaries are not available due to file locking complexities.
- ⚠️Binary installation to `/usr/local/bin` via the `install` script may require `sudo`.
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trading212-mcp-server
by RohanAnandPandit
This server provides a Model Context Protocol (MCP) interface for seamless data connectivity and advanced interaction capabilities with the Trading212 trading platform.
This server provides a Model Context Protocol (MCP) interface for seamless data connectivity and advanced interaction capabilities with the Trading212 trading platform.
Setup Requirements
- ⚠️Requires Trading212 API Key (TRADING212_API_KEY environment variable).
- ⚠️Requires Python >= 3.11.
- ⚠️Environment variable 'ENVIRONMENT' must be set to 'demo' or 'live' depending on the API key type.
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mcp-cli-ent
by EstebanForge
Orchestrates Model Context Protocol (MCP) servers and their tools on-demand for AI agents, without loading tool definitions directly into the agent's context window.
Orchestrates Model Context Protocol (MCP) servers and their tools on-demand for AI agents, without loading tool definitions directly into the agent's context window.
Setup Requirements
- ⚠️Requires Go 1.21+ for building from source.
- ⚠️Requires Node.js and npx for most default MCP servers (e.g., chrome-devtools, context7, brave-search).
- ⚠️Requires various API keys (e.g., ENT_CONTEXT7_API_KEY, ENT_BRAVE_API_KEY, ENT_OPENAI_API_KEY, ENT_ANTHROPIC_API_KEY) set as environment variables for specific servers.
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toolhive-cloud-ui
by stacklok
A UI for interacting with AI models via OpenRouter and managing/utilizing MCP (Model Context Protocol) servers and their tools from a centralized catalog.
A UI for interacting with AI models via OpenRouter and managing/utilizing MCP (Model Context Protocol) servers and their tools from a centralized catalog.
Setup Requirements
- ⚠️Requires an OpenRouter API Key for AI model access (can be a paid service).
- ⚠️Requires configuration with a real OIDC provider (e.g., Okta, Keycloak, Auth0) for production. Local development uses a simple mock OIDC provider.
- ⚠️Relies on external MCP servers to be running and accessible for tool integration.
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mcp-for-woocommerce
by iOSDevSK
Connects WordPress and WooCommerce to AI systems via Model Context Protocol, enabling AI agents to query and manage e-commerce data (products, orders, categories, shipping, payments, taxes) and content (posts, pages).
Connects WordPress and WooCommerce to AI systems via Model Context Protocol, enabling AI agents to query and manage e-commerce data (products, orders, categories, shipping, payments, taxes) and content (posts, pages).
Setup Requirements
- ⚠️Requires a running WordPress 6.4+ and PHP 8.0+ installation.
- ⚠️WooCommerce must be active for the e-commerce-specific tools to function.
- ⚠️WordPress Permalinks should be set to 'Post name' for proper product link generation.
- ⚠️For Claude Desktop integration, JWT authentication must be explicitly disabled in plugin settings, and a local Node.js or PHP proxy needs to be run, which then forwards requests to the WordPress API.
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excom
by mtrudel
Provides an MCP (Model Context Protocol) server implemented in Elixir.
Provides an MCP (Model Context Protocol) server implemented in Elixir.
Setup Requirements
- ⚠️The project is described as 'Extremely WiP' (Work in Progress), indicating potential instability and incomplete features.
- ⚠️Usage instructions are marked as 'WiP' and are not provided, making initial setup and operation difficult for users.
- ⚠️Requires an Elixir development environment to build and run.
- ⚠️As an MCP server, it will likely require understanding and potential integration with external models or tools conforming to the Model Context Protocol, the setup of which is not detailed.
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csharp-runner
by sdcb
A high-performance and secure online platform for executing C# code in isolated Docker containers, supporting both HTTP and Model Context Protocol (MCP).
A high-performance and secure online platform for executing C# code in isolated Docker containers, supporting both HTTP and Model Context Protocol (MCP).
Setup Requirements
- ⚠️Requires Docker and Docker Compose for deployment.
- ⚠️Requires an open network port (5050 by default) on the host machine.
- ⚠️Local development requires .NET SDK installed.