Browse the catalog

Captures and organizes requirements as markdown, tracks relationships between personas, requirements, use cases, and user stories.

Enables AI to create and publish interactive web apps, games, and 3D scenes using Rosh, a plain-English programming language. It supports compilation to HTML5 canvas, Phaser, or Three.js.

A lightweight MCP server for tracking personal expenses, income, and budget summaries using SQLite.

Type-safe MCP server for investigative journalism that enforces evidentiary standards on master-file.json, preventing chain-of-custody violations and ensuring publishable claims meet criteria.

exa-mcp is a server implementation that provides access to the Exa Search API through the Model Context Protocol. Built with TypeScript and leveraging Polka for HTTP handling, it enables AI assistants to perform web searches with fine-grained control over parameters like search type (neural or keyword), content categories, date ranges, and domain filtering. The server supports both stdio and SSE transport methods, making it compatible with various MCP client implementations. Sponsored by ChatWise, this tool is particularly valuable for AI applications that need up-to-date information from the web with customizable search capabilities.

This DevRev MCP server, developed by Sunil Pandey, provides AI assistants with search and retrieval capabilities using the DevRev APIs. Built with Python and leveraging the MCP library, it offers tools for searching DevRev data and retrieving detailed information about specific objects. The server implements namespace-aware searching and object retrieval by ID. By abstracting the complexities of API communication, it allows AI systems to easily access and analyze DevRev data. This implementation is particularly valuable for DevRev users and developers working on integrations, enabling use cases such as automated issue tracking, customer support analysis, and data-driven decision making within the DevRev ecosystem.

Creates bilingual campaign strategies, channel copy, and publishing calendars from a URL and objective via a deterministic, network-free MCP stdio server.

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.