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Vetted Servers(8554)
mm
by kecbigmt
A command-line interface (CLI) tool for personal knowledge management, integrating GTD, Bullet Journal, and Zettelkasten methods to manage notes, tasks, and events as Git-friendly Markdown files.
A command-line interface (CLI) tool for personal knowledge management, integrating GTD, Bullet Journal, and Zettelkasten methods to manage notes, tasks, and events as Git-friendly Markdown files.
Setup Requirements
- ⚠️Requires Deno runtime (v2.x or later) to be installed.
- ⚠️Requires Git for version control and synchronization features.
- ⚠️Designed primarily for macOS or Linux environments.
Verified SafeView Analysis
pitstop
by praneethravuri
Provides comprehensive Formula 1 data including historical statistics, real-time telemetry, standings, schedules, and news via a Model Context Protocol server.
Provides comprehensive Formula 1 data including historical statistics, real-time telemetry, standings, schedules, and news via a Model Context Protocol server.
Setup Requirements
- ⚠️Requires Python 3.13+
- ⚠️For local deployment, requires replacing '/absolute/path/to/pitstop' with the actual repository path in client configuration.
- ⚠️The 'get_telemetry_data' tool can return a very large number of data points, potentially leading to high token usage if not carefully filtered by the client.
Verified SafeView Analysis
server-pdf
by mcp-z
Generate PDFs from text or layouts, render PDF pages as images, and measure text before layout, with specialized support for JSON Resume format.
Generate PDFs from text or layouts, render PDF pages as images, and measure text before layout, with specialized support for JSON Resume format.
Setup Requirements
- ⚠️Emoji rendering requires `NotoColorEmoji.ttf` to be present; it's downloaded during `postinstall`. If the download fails, emojis will be skipped in PDFs.
- ⚠️The `pdf-image` tool uses `pdf-to-png-converter`, which internally relies on native PDF rendering libraries (like Poppler or Ghostscript). While it bundles binaries, platform-specific issues or missing system dependencies can occur.
- ⚠️Custom font loading via URL requires active network access. If the URL is unreachable or the font download fails, it falls back to a default font (Helvetica).
Verified SafeView Analysis
whoop-mcp
by lornest
Provides conversational access to WHOOP fitness and recovery data through an MCP client like Claude.
Provides conversational access to WHOOP fitness and recovery data through an MCP client like Claude.
Setup Requirements
- ⚠️Requires Python 3.12+
- ⚠️Requires manual creation and configuration of a WHOOP OAuth application on their developer dashboard, including setting a redirect URI to `http://localhost:8080/callback`.
- ⚠️The `bootstrap.py` script starts a local web server (http://localhost:8080) for OAuth callback, which might require firewall adjustments if blocked.
Verified SafeView Analysis
simply-outlook-mcp
by hmmroger
Enables AI assistants to manage Microsoft Outlook calendars and emails via the Microsoft Graph API.
Enables AI assistants to manage Microsoft Outlook calendars and emails via the Microsoft Graph API.
Setup Requirements
- ⚠️Requires Node.js 20.19.0 or higher.
- ⚠️Requires manual Azure AD Application registration with specific `Calendars.ReadWrite`, `Mail.Read`, `Mail.Send`, `User.Read` permissions.
- ⚠️Requires a one-time device code flow authentication via browser to set up initially.
Verified SafeView Analysis
groupdocs-parser-cloud-mcp
by groupdocs-parser-cloud
Provides an MCP server that wraps the GroupDocs.Parser Cloud API to enable AI agents to extract text, images, and barcodes from various document formats and manage cloud storage.
Provides an MCP server that wraps the GroupDocs.Parser Cloud API to enable AI agents to extract text, images, and barcodes from various document formats and manage cloud storage.
Setup Requirements
- ⚠️Requires GroupDocs Cloud API credentials (CLIENT_ID, CLIENT_SECRET), which may imply a paid service.
- ⚠️Requires Python 3.10+.
Verified SafeView Analysis
digikala-mcp-server
by rezashahnazar
Facilitates intelligent product discovery, search, recommendations, and detailed information retrieval on Digikala, a prominent e-commerce platform.
Facilitates intelligent product discovery, search, recommendations, and detailed information retrieval on Digikala, a prominent e-commerce platform.
Setup Requirements
- ⚠️Requires Python 3.14+ (as specified in pyproject.toml, though Python 3.10+ is mentioned in documentation, the pyproject.toml is definitive and implies a pre-release Python version or a typo)
- ⚠️Requires `uv` package manager for dependency management and execution
Verified SafeView Analysis
mcp-crypto-server
by yanqinghao
A high-performance platform for real-time cryptocurrency and stock market data, technical analysis, LLM-powered insights, and news aggregation, primarily for generating trading signals and reports for AI applications.
A high-performance platform for real-time cryptocurrency and stock market data, technical analysis, LLM-powered insights, and news aggregation, primarily for generating trading signals and reports for AI applications.
Setup Requirements
- ⚠️Requires paid API keys for cryptocurrency exchanges (e.g., Binance), potentially AKShare/yfinance for stock data, and a paid LLM service (e.g., OpenAI API Key).
- ⚠️Docker and Docker Compose are essential for running the TimescaleDB database and the multi-service architecture.
- ⚠️Telegram Bot Token and Chat ID are necessary for receiving alerts and signals.
- ⚠️Requires Python 3.9+ and the 'uv' package manager for local development and dependency management.
Verified SafeView Analysis
poly-k8s-mcp
by hyperpolymath
Provides a Model Context Protocol (MCP) server for AI assistants to programmatically manage Kubernetes clusters using kubectl, Helm, and Kustomize CLIs.
Provides a Model Context Protocol (MCP) server for AI assistants to programmatically manage Kubernetes clusters using kubectl, Helm, and Kustomize CLIs.
Setup Requirements
- ⚠️Requires Deno runtime (v2.0+).
- ⚠️Requires `kubectl`, `helm` (optional), and `kustomize` (optional) CLIs to be installed and accessible in the system's PATH.
- ⚠️Requires a valid Kubernetes kubeconfig (`~/.kube/config` or `KUBECONFIG` environment variable) with appropriate cluster access.
- ⚠️Must be run with Deno's `--allow-run`, `--allow-read`, `--allow-write`, `--allow-env`, and potentially `--allow-net` permissions, granting broad system access.
Review RequiredView Analysis
nova-llm
by GalacticQuasar
A full-stack LLM agent workflow with custom tool calling capabilities and configuration with Model Context Protocol (MCP) servers, supporting multiple Gemini models.
A full-stack LLM agent workflow with custom tool calling capabilities and configuration with Model Context Protocol (MCP) servers, supporting multiple Gemini models.
Setup Requirements
- ⚠️Requires a Google Gemini API Key (paid service) for LLM access.
- ⚠️Requires Node.js 18+ and npm for both client and server setup.
- ⚠️Automatically downloads and runs an external MCP server package via `npx` during initialization, requiring internet access and relying on the security of that third-party package.
Verified SafeView Analysis
postman-code-examples
by postmanlabs
A CLI tool for searching, navigating, and reading content from a Notion workspace, designed for AI agents.
A CLI tool for searching, navigating, and reading content from a Notion workspace, designed for AI agents.
Setup Requirements
- ⚠️Requires Node.js version 18 or higher.
- ⚠️Requires creation of a Notion Integration with 'Read content' capabilities via notion.so/my-integrations.
- ⚠️Notion pages and databases must be explicitly shared with the created integration for the CLI to access them.
- ⚠️Requires the NOTION_API_KEY environment variable to be set with the integration's secret token.
Verified SafeView Analysis
n8n_workflows
by shawnmcrowley
This N8N server serves as a collection of production-ready automation workflows, exposing them as tools for AI agents (MCP clients) to enable dynamic, AI-driven automation across various platforms and data sources.
This N8N server serves as a collection of production-ready automation workflows, exposing them as tools for AI agents (MCP clients) to enable dynamic, AI-driven automation across various platforms and data sources.
Setup Requirements
- ⚠️Requires Docker and Docker Compose installed.
- ⚠️Requires PostgreSQL with pgvector extension installed and configured.
- ⚠️Requires N8N account or self-hosted instance (Docker setup handles this).
- ⚠️Requires API keys for multiple external services (OpenAI, FireCrawl, EODHD, Ahrefs, SEMrush, BuzzSumo, AnswerThePublic, Reddit, Perplexity, OpenWeather, Alpha Vantage) which may be paid services.
- ⚠️Requires a local Ollama instance running for local LLMs.
- ⚠️Requires Redis for the dynamic workflow management feature (`build-your-own-n8n-workflows-mcp-server-.json`).
- ⚠️For RAG chatbot, requires a Google Cloud Project with Vertex AI API enabled and Google AI API Key, and Pinecone account/index named 'company-files'.
- ⚠️For Microsoft Excel integration, requires Microsoft Azure credentials with Microsoft Graph permissions.
- ⚠️Many workflows require specific Google Cloud APIs enabled (Drive, Sheets, Gmail).
- ⚠️Some workflows implicitly require a functional n8n API key (`N8N_API_KEY`) to retrieve workflow definitions.