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Interfaces directly with Ethereum nodes to provide real-time token balance, smart contract information, and direct node access for enhanced interaction.
Enables LLMs to interact with web browsers through a server using SSE transport for executing tasks and retrieving results.
Enables AI assistants to interact with the Flow blockchain using a standardized Model Context Protocol (MCP) interface.
Facilitates Mattermost integration by connecting to its API endpoints and making information available through standard MCP transports.
Enables AI assistants to interact with Jira for tasks such as fetching tickets, adding comments, and updating statuses.
Serves a simple MCP server to introduce Roland.
Provides a minimal, local-first Rust vector-memory server for AI agents, integrating seamlessly with Qdrant and Ollama.
Automate AI-powered penetration testing workflows with integrated scanning, evidence management, and professional reporting for Kali Linux.
Empower AI agents with robust browser automation capabilities, enabling web page interaction, navigation, and content extraction.
Empowers developers with an AI-powered agentic command-line assistant to read, create, and modify code files using Replicate's Claude models.
Provides a robust server plugin for web debugging, performance analysis, and memory detection using Puppeteer and Chrome DevTools Protocol.
Unifies the hosting of lightweight command-line interface tools and HTTP services by registering them as Model Context Protocol tools via configuration.
Provides LLMs access to thousands of SVG icons from Material Symbols, Lucide, and Tabler, featuring search, fuzzy matching, and Tailwind CSS injection.
Enables Google Gemini to retrieve and update project context and DNA from Foundational AI-context Format (.faf) files via a Google Cloud Function endpoint.
Provides real-time Python package and vulnerability data to AI coding agents for informed dependency decisions.
Exposes VS Code terminals, diagnostics, debugging, and editor actions to AI coding agents over a single HTTP endpoint, supporting multi-window environments.
Integrates LanceDB, an embedded vector database, into Zed's Agent Panel to provide advanced search capabilities for contextual information.
Empowers AI agents with programmatic access to a wide array of developer APIs for tasks like geolocation, web scraping, code execution, and cryptocurrency price tracking.
Provides an AI-powered internet search service leveraging Moonshot AI (Kimi) via the Model Context Protocol (MCP).
Facilitates multi-round collaboration between AI agents like Antigravity and Codex by providing a local FastMCP service.
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