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Read-only MCP server for querying DPVAT (Brazilian insurance) guide issuance information from an official source. It provides a single tool that allows users to consult DPVAT guide data via natural language in any MCP-compatible client.

MCP server for Aseprite — create, edit, and export pixel art sprites, animations, and sprite sheets from any AI assistant.

GenPark Protocol Skill for OpenClaw: arbitrage

MCP server for Wikipedia featured content and daily feeds

An MCP server that enables AI agents to analyze executable files using Detect It Easy (DIE), providing capabilities to examine file structures, detect packers, compilers, and gather other forensic information.

Complete OfficeX platform skill for end-user consumers and app developers interacting with the OfficeX REST API.

Enables AI assistants to query ERP sales data, including employees, sales, customers, and top products, through MCP tools.

Reddit automation for AI agents — browse feeds, search posts, comment, vote, and publish using a Chrome extension bridge. Python CLI with JSON output, no API keys needed.

Enables querying San Francisco Bay Area events from Funcheap, including event details, tags, and categories.

Provides advanced charting widgets (uPlot time series, ECharts box plots and parallel coordinates) for Urano Desktop/Cloud via MCP tools that build uiSpec JSON for rendering.

Enables AI agents to perform instant SEO audits, check robots.txt, sitemaps, and AI crawler access for any URL without API keys.

Instantly MCP Server provides a bridge to the Instantly API v2, enabling AI assistants to manage email campaigns and leads through a set of 17 tools. Developed by bcharleson, it implements endpoints for creating and managing leads, listing campaigns, analyzing email warmup performance, testing account health, and handling email account administration. The server is built with TypeScript using the Model Context Protocol SDK, can be run via Docker or NPX, and requires an Instantly API key for authentication. It's particularly valuable for users who need to automate email outreach, monitor campaign performance, or manage email account health directly within AI assistant conversations.

MCP server that provides a single read-only tool to query official debt certificates (Certidão Negativa de Débitos) for taxpayers in Maringá, PR, Brazil, enabling AI assistants to access this data through natural language.

A simple MCP server that provides a tool for adding two numbers, designed for testing MCP integration with Claude.

Enables Claude to access DeFi data via DefiLlama API, including protocol TVL, chain TVL, token prices, and stablecoin information.

Automatically creates MCP resources based on indexes in a Materialize database cluster. The server dynamically generates URI templates and handlers for each index found in the catalog, enabling lookups through parameterized URLs like 'materialize://customers/123'. Built with FastMCP and asyncpg, it provides a clean interface for querying materialized views through AI assistants without manual resource configuration. Particularly valuable for teams using Materialize who want to expose their indexed views through natural language interaction.

Enables comprehensive management of Google Ads campaigns through natural language, including campaign creation, ad group management, keyword operations, Performance Max campaigns, conversion tracking, and performance insights with support for multiple accounts.

MCP server for Prosp.ai LinkedIn outreach automation. Manage leads, campaigns, messaging, and analytics programmatically.

Enables coding agents to execute Python code, run script files, and install pip packages locally via MCP.

This MCP server implementation provides a bridge to ScreenshotOne's API, enabling the rendering of website screenshots through the Model Context Protocol. Developed by Dmytro Krasun, it offers a simple tool for capturing visual representations of web pages as images. The server is designed to work with Node.js environments and utilizes the @modelcontextprotocol/sdk for MCP compatibility. It's particularly useful for AI assistants, web developers, and content creators who need to programmatically generate website screenshots for tasks such as visual testing, content monitoring, or creating visual references of web pages without manual intervention.