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Vetted Servers(8554)
django-rest-framework-mcp
by zacharypodbela
Enables developers to quickly build Model Context Protocol (MCP) servers for existing Django REST Framework APIs, allowing AI agents and LLM clients to leverage these endpoints as tools.
Enables developers to quickly build Model Context Protocol (MCP) servers for existing Django REST Framework APIs, allowing AI agents and LLM clients to leverage these endpoints as tools.
Setup Requirements
- ⚠️Requires Python 3.8+.
- ⚠️Requires Django 4.0+ and djangorestframework 3.14.0+.
- ⚠️MCP requests bypass parts of the standard DRF request lifecycle (e.g., `dispatch`, `initialize_request`, `finalize_response`, `handle_exception`), which developers must be aware of for custom logic.
- ⚠️STDIO transport for MCP clients is not directly supported and requires an `mcp-remote` bridge for local testing with tools like Claude Desktop.
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mcp-server-antv
by antvis
A Model Context Protocol (MCP) server that provides AntV documentation context and code examples for AI development and quality assurance workflows.
A Model Context Protocol (MCP) server that provides AntV documentation context and code examples for AI development and quality assurance workflows.
Setup Requirements
- ⚠️Requires Node.js >= v18.0.0
- ⚠️Requires an MCP Client (e.g., Cursor, VSCode MCP Extension) to connect and utilize its functionality
- ⚠️Relies on external Context7.com and DeepWiki.com services for documentation retrieval; functionality will be impaired if these services are unavailable
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deploystack
by deploystackio
Centralized management and optimization of Model Context Protocol (MCP) servers and AI agent tools, including credential management and governance.
Centralized management and optimization of Model Context Protocol (MCP) servers and AI agent tools, including credential management and governance.
Setup Requirements
- ⚠️Requires Node.js (v18+) and npm (v8+).
- ⚠️Requires Docker for production deployment or full local development setup.
- ⚠️Requires PostgreSQL database.
- ⚠️Mandatory `DEPLOYSTACK_ENCRYPTION_SECRET` environment variable which must be changed from its default placeholder in production.
- ⚠️Mandatory `DEPLOYSTACK_SATELLITE_NAME` and `DEPLOYSTACK_REGISTRATION_TOKEN` for the Satellite service to register with the Backend.
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MCP-PostgreSQL-Ops
by call518
The MCP server provides professional operations, monitoring, and management capabilities for PostgreSQL databases using natural language queries.
The MCP server provides professional operations, monitoring, and management capabilities for PostgreSQL databases using natural language queries.
Setup Requirements
- ⚠️Requires Python 3.12 or newer.
- ⚠️Requires a PostgreSQL database connection (host, port, user, password, database) configured via environment variables.
- ⚠️Optional PostgreSQL extensions (`pg_stat_statements`, `pg_stat_monitor`) and specific `postgresql.conf` settings (`track_functions = pl`, `track_io_timing = on`) are needed for full functionality, which may require manual installation or configuration on the target PostgreSQL instance.
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whatsapp-mcp-ts
by jlucaso1
Connects a personal WhatsApp account to an AI agent, enabling the agent to search messages and contacts, list chats, retrieve message history, and send messages via WhatsApp.
Connects a personal WhatsApp account to an AI agent, enabling the agent to search messages and contacts, list chats, retrieve message history, and send messages via WhatsApp.
Setup Requirements
- ⚠️Requires Node.js version 23.10.0 or higher.
- ⚠️Requires an initial manual WhatsApp QR code scan for authentication, which can be time-sensitive.
- ⚠️Initial message history synchronization can take significant time depending on your WhatsApp history size.
- ⚠️Specific configuration JSON is required for the AI client (e.g., Claude Desktop, Cursor) to launch and connect to the MCP server.
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gemini-research-mcp
by fortaine
An AI-powered research server utilizing Gemini models for both quick web searches with citations and comprehensive multi-step deep research, including query clarification and follow-up capabilities.
An AI-powered research server utilizing Gemini models for both quick web searches with citations and comprehensive multi-step deep research, including query clarification and follow-up capabilities.
Setup Requirements
- ⚠️Requires a valid Google AI Studio `GEMINI_API_KEY` (Paid).
- ⚠️Requires Python 3.12+.
- ⚠️Deep research tasks (`research_deep`) can be long-running (3-20 minutes, up to 60 minutes for complex queries) and expensive ($2-5 per task, consuming ~250k-900k tokens).
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mcp-any-rest
by xiangweizeng
An MCP (Micro-service Composition Protocol) server that dynamically configures and exposes APIs defined using ZML (ZenTao Markup Language), acting as an API gateway for ZenTao or similar APIs.
An MCP (Micro-service Composition Protocol) server that dynamically configures and exposes APIs defined using ZML (ZenTao Markup Language), acting as an API gateway for ZenTao or similar APIs.
Setup Requirements
- ⚠️Requires `config` directory (or specified via `--config-dir`) containing `config.json`, `modules.json`, and a `presets` subdirectory. These files are central to the server's configuration, including upstream API authentication details and module enablement.
- ⚠️Requires `zml` directory (relative to config dir, or configurable) for ZML definition files: Dynamic modules are defined in `.zml` files located in this directory.
- ⚠️Disables SSL certificate validation for all upstream API calls by default: All connections to upstream APIs will bypass SSL certificate checks, which is a significant security risk for production environments.
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powertools-mcp
by aws-powertools
This MCP server provides search and retrieval capabilities for the Powertools for AWS Lambda documentation, assisting LLM agents in finding relevant information across multiple runtimes.
This MCP server provides search and retrieval capabilities for the Powertools for AWS Lambda documentation, assisting LLM agents in finding relevant information across multiple runtimes.
Setup Requirements
- ⚠️Requires Node.js (version 18+ for runtime, 24 for full support as per README).
- ⚠️Project is experimental and under active development; APIs and features may change frequently without notice.
- ⚠️Requires local disk write access for caching documentation.
Verified SafeView Analysis
polymarket-mcp
by ozgureyilmaz
Integrate Polymarket prediction market data into external applications, particularly AI agents like Claude Desktop, providing real-time market insights and tools.
Integrate Polymarket prediction market data into external applications, particularly AI agents like Claude Desktop, providing real-time market insights and tools.
Setup Requirements
- ⚠️Requires Rust toolchain (Rust 1.70+) to install and build.
- ⚠️Manual editing of `~/Library/Application Support/Claude/claude_desktop_config.json` (or equivalent) is required for Claude Desktop integration.
- ⚠️A Polymarket API Key, while optional for basic usage, may be required for higher rate limits or advanced access.
Verified SafeView Analysis
airtable-mcp
by rashidazarang
Provides a Model Context Protocol (MCP) server for Airtable, enabling AI agents to perform full CRUD operations, schema management, webhooks, batch operations, and AI-powered analytics through natural language interactions.
Provides a Model Context Protocol (MCP) server for Airtable, enabling AI agents to perform full CRUD operations, schema management, webhooks, batch operations, and AI-powered analytics through natural language interactions.
Setup Requirements
- ⚠️Requires an Airtable Personal Access Token (PAT) with appropriate scopes.
- ⚠️Requires Node.js 14 or later installed locally.
- ⚠️Initial setup may require providing an Airtable Base ID, though it can be discovered dynamically using the 'list_bases' tool.
Verified SafeView Analysis
pluggedin-mcp
by VeriTeknik
Acts as a unified Model Context Protocol (MCP) hub for AI agents, providing tools, knowledge (RAG), and memory (clipboard) by aggregating multiple downstream MCP servers and internal capabilities.
Acts as a unified Model Context Protocol (MCP) hub for AI agents, providing tools, knowledge (RAG), and memory (clipboard) by aggregating multiple downstream MCP servers and internal capabilities.
Setup Requirements
- ⚠️Requires Node.js 18+ (v20+ recommended) due to engine requirements in package.json.
- ⚠️Requires a Plugged.in API Key (obtainable from plugged.in/api-keys) for most functionalities, including RAG queries, document management, notifications, and access to dynamic MCP tools.
- ⚠️Relies on the `plugged.in App` for managing and fetching configurations of dynamic MCP servers, meaning external setup in the web application is necessary for these tools to appear.
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boilerplate-mcp-server
by aashari
Provides a production-ready foundation for developing custom Model Context Protocol (MCP) servers in TypeScript to connect AI assistants with external APIs and data sources, exemplified by an IP geolocation tool.
Provides a production-ready foundation for developing custom Model Context Protocol (MCP) servers in TypeScript to connect AI assistants with external APIs and data sources, exemplified by an IP geolocation tool.
Setup Requirements
- ⚠️Requires Node.js (>=18.x).
- ⚠️Extended IP data functionality requires an 'IPAPI_API_TOKEN' (optional for basic data).
- ⚠️Cannot lookup private (e.g., 192.168.x.x) or reserved IP addresses.