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Enables querying traffic fines (multas) from DETRAN Bahia via a read-only MCP tool, using official sources and natural language.

Provides a standardized interface for interacting with Jira's tools and services through a unified API.

Provides live Chinese sports lottery (竞彩) odds for World Cup 2026 matches, including 5 betting markets, and integrates with AI predictions and betting strategies.

Provides deterministic fair-housing and advertising compliance checks for US real-estate listings, with rule explanations and rewrite suggestions, ensuring models cannot override the verdict.

An MCP server for managing and persisting notes, offering CRUD operations, note summarization, and resource-based access via a note:// URI scheme.

Real-time crypto spread, funding rates, and cash & carry yields across Binance and OKX for AI assistants.

Enables AI agents to add text and image watermarks, search for existing watermarks, and remove watermarks from documents. Supports over 50 document and image formats including PDF, DOCX, and XLSX.

Find user details by client ID, browse registered clients, and discover available API paths. Accelerate audits and integrations by centralizing identity, client, and route lookups. Reduce errors and save time with quick, searchable access to your client and API directories.

MCP-Server-Apache-Airflow provides a bridge between AI assistants and Apache Airflow, enabling management and monitoring of workflows through natural language. Developed by Gyeongmo Yang, this Python-based server exposes a comprehensive set of Airflow API endpoints including DAG management, task instances, variables, connections, and monitoring capabilities. The implementation supports both stdio and SSE transport modes, authenticates with Airflow via username/password, and returns responses as structured text content. This server is particularly valuable for data engineers and workflow administrators who need to trigger DAG runs, check execution status, or manage Airflow resources without leaving their AI assistant interface.

Gives AI assistants full control over a VPS via SSH, enabling command execution, file management, service control, Docker and firewall management.

Enables Claude Desktop to interact with the Kynhood Events API, allowing users to list events with pagination and retrieve detailed event information through natural language queries.

This MCP server provides Fivetran data pipeline management through the Fivetran REST API, enabling AI assistants to invite users, list connections, and trigger data syncs programmatically. Built using Python with FastMCP and the requests library, it offers three core tools for user management (invite_fivetran_user with email, name, and phone parameters), connection discovery (list_connections returning comma-separated connection IDs), and sync operations (sync_connection that unpauses and forces synchronization by connection ID). The implementation features environment-based authentication via FIVETRAN_AUTH_TOKEN, comprehensive logging, and includes both a standalone Fivetran connector SDK component and the main MCP server, making it valuable for data pipeline automation workflows, team onboarding processes, and building AI assistants that need programmatic access to Fivetran's data integration platform without manual dashboard navigation.

Enables Mu2e analysis workflows by exposing event counting, cut analysis, sensitivity computation, and ML selection as MCP tools for agentic frameworks.

This MCP server extracts webpage creation, modification, and publication timestamps from multiple data sources including HTML meta tags, HTTP headers, JSON-LD structured data, microdata, OpenGraph, Twitter cards, and heuristic analysis. Built by Fabien Desablens using TypeScript with axios for HTTP requests and cheerio for HTML parsing, it provides two tools for single and batch timestamp extraction with configurable options for timeout, user agent, redirect handling, and heuristic detection. The implementation features confidence scoring (high/medium/low) based on source reliability, intelligent timestamp consolidation that prioritizes structured data over heuristics, and robust error handling for network failures and parsing issues, making it valuable for content freshness analysis, web scraping workflows, SEO analysis, and building AI assistants that need temporal metadata extraction from web content without manual inspection.

Enables AI agents to search, read, and query Notion workspaces, databases, and pages through an MCP gateway.

File uploads for AI agents. Upload, list, and manage files from AI coding assistants like Claude, Cursor, Windsurf, and VS Code Copilot with no signup required.

Enables Formula 1 data analysis through natural language, providing tools like track dominance, lap time analysis, and team performance comparisons.

Exposes GroupDocs.Metadata as AI-callable tools for reading, searching, writing, and removing metadata in documents.

Integrates with FDA drug databases, WHO health indicators, RxNorm classifications, PubMed research, Google Scholar, and Australia's PBS to provide drug information lookup, health data queries, academic research retrieval, and pharmaceutical pricing analysis for medical research and clinical decision support.

DNS MCP — DNS and network lookup tools