Assess the readiness of Mimic AI for design system review. Returns bridge status, plugin connection, design system knowledge, and learning progress. Use at session start; guide connection if first run.
MIT
133,413 tools. Last updated 2026-05-25 15:25
"A server for learning about windsurfing" matching MCP tools:
- Generate harmonious color palettes using a deep-learning model, returning 5 colors with RGB and hex codes for design projects.
- Gets information about a mock server: collection UID and mock URL, for navigating to the source collection.Apache 2.0
- Generate production-ready smart contracts from natural language descriptions for EVM and Solana blockchains, applying self-learning security rules to create safer code.MIT
- Search Jina AI's official blog for articles about AI, machine learning, neural search, embeddings, and Jina products to find documentation, tutorials, announcements, and technical deep-dives.Apache 2.0
- Retrieve comprehensive build and runtime details about the MCP server to understand its current configuration and operational status.
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- FlicenseAqualityCmaintenanceEnables educational and learning tasks including flashcard generation with Anki integration, Zotero library management, Obsidian vault interaction, and mathematical expression verification with LaTeX support.Last updated8
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Matching MCP Connectors
Educational MCP server with 17 math/stats tools, visualizations, and persistent workspace
Give your AI agent a phone. Place outbound calls to US businesses to ask, book, or confirm.
- Retrieve self-learning security rules accumulated from smart contract audits to enhance security detection across multiple blockchain networks.MIT
- Retrieve detailed Discord server information, including channels and member count, by providing the guild ID. Use this tool within the MCP-Discord server to enhance AI-driven interactions with Discord communities.MIT
- Retrieve detailed information about a specific collection within the Chroma MCP Server, enabling users to analyze and manage data more effectively.Apache 2.0
- Retrieve detailed information about a code generation session by providing its session ID using the Playwright-powered MCP server for browser automation.MIT
- Store structured memories about entities in six layers (goal, context, emotion, implementation, caveat, learning) to preserve non-obvious goals, failures, and decisions.
- Retrieve Dockerfile content to analyze image composition, identify dependencies, and understand build processes for security auditing or learning purposes.MIT
- Discover server capabilities, supported AWS services, compliance frameworks, and intelligence engines to understand how to use the AWS Security Posture Advisor for security assessments.Apache 2.0
- Retrieve data source attributions and licences for all property data used by this server.MIT
- Store typed knowledge (observation, decision, learning, error, pattern) with tags, importance, and optional relation. Embeddings enable semantic retrieval.MIT
- Verify server identity and protocol compatibility by retrieving the manifest with protocol version, server name, and available capabilities before interacting with tools.Apache 2.0
- Retrieve diagnostic information about server configuration, search paths, and warnings from the last scan to troubleshoot missing skills or verify setup.MIT
- Initialize the LSP server for a project by specifying the root directory; optionally choose the language server for mixed-language repos.MIT
- Monitor server health by displaying tracked files, sync history, index size, cache statistics, and watcher status for troubleshooting.AGPL 3.0
- Create a customized learning plan by analyzing student's subject, current level, learning style, goals, and available study time.MIT