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Connect AI agents to the Aevo trading platform. Retrieve market data, manage accounts, and execute trades easily

MCP server for IP geolocation and network info via ipinfo.io

Enables simulated multi-table No-Limit Texas Hold'em study and decision-support, allowing users to practice against bots and get equity/pot-odds/preflop-chart advice.

Enables Claude to generate 3D worlds from text, images, video, and multi-image inputs using the WorldLabs Marble API.

The Linear Issues MCP server provides AI assistants with read-only access to Linear issue tracking data through a Node.js implementation. Developed by Keegan Carruthers-Smith, this server exposes two tools: one for fetching basic issue details and another for retrieving complete information including comments. It authenticates with the Linear GraphQL API using either an API key or OAuth token, parses issue identifiers from URLs or direct references, and formats responses in a consistent structure. This implementation is particularly valuable for teams using Linear who want their AI assistants to access project tracking information without switching contexts.

Enables AI agents to query and interact with Google NotebookLM notebooks to retrieve citation-backed information. It provides tools for listing notebooks, accessing source data, and asking natural language questions.

Applies Jungian shadow complement to unified composition parameters, creating psychological depth through systematic visual opposition after multi-domain blending.

Enables AI agents and LLMs to interact with the ICON mcp v105 API through standardized tools. It supports Model Context Protocol integration for seamless access to ICON endpoints and asynchronous operations.

A11y MCP Server provides accessibility testing capabilities for web content using Axe-core, enabling AI assistants to evaluate websites and HTML snippets against WCAG standards. Built by Ronan Takizawa, this TypeScript implementation offers specialized tools for testing webpage accessibility, analyzing HTML strings, retrieving accessibility rules, checking color contrast ratios, validating ARIA attributes, and detecting orientation lock issues. The server uses Puppeteer to render web content and apply Axe-core's comprehensive testing suite, returning detailed violation reports with impact levels, descriptions, and remediation guidance. It's particularly valuable for developers and content creators who need to identify and fix accessibility issues through conversational AI interfaces.

This MCP server, developed by qpd-v, enables AI assistants to perform semantic search and retrieval of documentation using a vector database (Qdrant). It provides tools for adding documentation from URLs, searching through stored content, and listing sources. The server implements web scraping, text chunking, and embedding generation using either Ollama or OpenAI. By connecting AI capabilities with vector search technology, this implementation empowers AI assistants to quickly find relevant information within large document collections. It is particularly useful for applications requiring context-aware information retrieval, knowledge base augmentation, or any scenario where an AI system needs to efficiently access and reason about domain-specific documentation.

godoc-mcp is a Model Context Protocol (MCP) server that provides efficient access to Go documentation. It helps LLMs understand Go projects by providing direct access to package documentation without needing to read entire source files.

A lightweight FastMCP server that enables language models to discover, clone, transform, and localize PsyFlow task templates through a streamlined workflow with standardized tools.

An MCP server that gives LLMs direct access to OpenRouter's Image API to generate images, edit/transform existing ones, and browse the model catalog.

Enables AI assistants to retain memory across sessions by storing conversations locally in Markdown files, allowing personalization and continuity without external servers.

USAspending MCP — Federal spending data from USAspending.gov API

MCP server for Mealie that exposes its REST API to manage recipes, meal plans, shopping lists, cookbooks, and taxonomy through natural language.

Provides read-only access to query NFC-e (electronic consumer invoices) from SEFAZ MS using official data sources.

Enables AI to send expressive stickers based on conversation context, with a built-in UI for managing stickers.

The TikTok MCP server integrates TikTok content access into Claude AI and other applications through TikNeuron's API. Built with TypeScript and the Model Context Protocol SDK, it provides three key tools: retrieving available subtitles for TikTok videos, fetching specific subtitle content in different languages, and accessing comprehensive post details including engagement metrics and creator information. The implementation requires a TikNeuron MCP API key and is designed to help analyze TikTok video virality factors, extract content, and enable conversational interactions with TikTok videos through AI assistants.

A read-only MCP server that queries multichain EVM on-chain data through Blockscout REST API, providing tools for address info, transactions, logs, and more.