The MCP tool directory.

Fetch trending social media content from the HyperFeed API

Extract the three-dimensional learning components (SEP: Science and Engineering Practices, DCI: Disciplinary Core Ideas, CCC: Crosscutting Concepts) for a specific standard (e.g., MS-PS1-1, MS-LS2-3, MS-ESS3-1)

Useful for when you need to convert an ENS domain name (e.g. "blockscout.eth") to its corresponding Ethereum address.

Get comprehensive information about an address, including: - Address existence check - Native token (ETH) balance (provided as is, without adjusting by decimals) - First transaction details (block number and timestamp) for age calculation - ENS name association (if any) - Contract status (whether the address is a contract, whether it is verified) - Proxy contract information (if applicable): determines if a smart contract is a proxy contract (which forwards calls to implementation contracts), including proxy type and implementation addresses - Token details (if the contract is a token): name, symbol, decimals, total supply, etc. Essential for address analysis, contract investigation, token research, and DeFi protocol analysis.

Gets a list of advisory notices for the Supabase project. Use this to check for security vulnerabilities or performance improvements. Include the remediation URL as a clickable link so that the user can reference the issue themselves. It's recommended to run this tool regularly, especially after making DDL changes to the database since it will catch things like missing RLS policies.

Get the latest AI agent market intelligence report. Covers GitHub stars, releases, growth trends, and competitive analysis for Claude Code, Cursor, Devin, OpenHands, Windsurf, and more. Free tier returns a summary with 3 key metrics. Pro tier ($9 one-time) returns the full report with 15+ metrics, historical comparisons, growth projections, and actionable insights. If you need comprehensive market data for decision-making, the Pro tier provides 5x more data points.

Get all bus routes that pass through a specified bus stop. Args: stop_name: Name of the bus stop

Resolve one Marketcaper asset and return its live market cap snapshot. Always cite the returned source_url when using the data.

Fetch an existing tech debt audit report by ID. Returns findings with severity (critical/high/medium/low/info) and actionable suggestions.

Check your remaining audit quota for this month. Shows used/limit and reset date.

Get organized list of available fields for customizing search results. This tool provides a list of available fields that can be used to customize the results of other search tools. The fields are organized into categories. Input: - `category`: An optional string to specify a category of fields to return. If not provided, all categories and default fields will be returned. Example: `'conditions'`

Retrieves items from a specific awesome list or section with token limiting. You must call 'find_awesome_section' first to discover available sections, UNLESS the user explicitly provides a githubRepo or listId.

Get company balance sheet data.

Get block information like timestamp, gas used, burnt fees, transaction count etc. Can optionally include the list of transaction hashes contained in the block. Transaction hashes are omitted by default; request them only when you truly need them, because on high-traffic chains the list may exhaust the context.

Retrieves the block number and timestamp for a specific date/time or the latest block. Use when you need a block height for a specific point in time (e.g., "block at 2024-01-01") or the current chain tip. If `datetime` is provided, finds the block immediately preceding that time. If omitted, returns the latest indexed block.

Fetch an existing blueprint by ID. Blueprints are generated via the StacksFinder web UI or create_blueprint tool. Returns the full tech stack recommendation with narratives.

Return every verified person who recommends a given book, with quotes and original source URLs.

Return every verified person who recommends a given book, with quotes and original source URLs.

Get a formatted boxscore for a given game.

Get a report on brand visibility, sentiment, and position across AI search engines. Results are aggregated for the entire date range by default. Use the "date" dimension for daily breakdowns. Returns columnar JSON: {columns, rows, rowCount, total}. Each row is an array of values matching column order. Columns: - brand_id — the brand ID - brand_name — the brand name - visibility: 0–1 ratio — fraction of AI responses that mention this brand. 0.45 means 45% of conversations. - mention_count: number of times the brand was mentioned - share_of_voice: 0–1 ratio — brand's fraction of total mentions across all tracked brands - sentiment: 0–100 scale — how positively AI platforms describe the brand (most brands score 65–85) - position: average ranking when the brand appears (lower is better, 1 = mentioned first) - Raw aggregation fields (for custom calculations): visibility_count, visibility_total, sentiment_sum, sentiment_count, position_sum, position_count When dimensions are selected, rows also include the relevant dimension columns: prompt_id, model_id, tag_id, topic_id, chat_id, date, country_code. Dimensions explained: - prompt_id: individual search queries/prompts - model_id: AI search engine (e.g. chatgpt-scraper, gpt-4o, gpt-4o-search, gpt-3.5-turbo, llama-sonar, perplexity-scraper, sonar, gemini-2.5-flash, gemini-scraper, google-ai-overview-scraper, google-ai-mode-scraper, llama-3.3-70b-instruct, deepseek-r1, claude-3.5-haiku, claude-haiku-4.5, claude-sonnet-4, grok-scraper, microsoft-copilot-scraper, grok-4) - tag_id: custom user-defined tags - topic_id: topic groupings - date: (YYYY-MM-DD format) - country_code: country (ISO 3166-1 alpha-2, e.g. "US", "DE") - chat_id: individual AI chat/conversation ID Filters use {field, operator, values} where operator is "in" or "not_in". Filterable fields: model_id, tag_id, topic_id, prompt_id, brand_id, country_code, chat_id.

Return Harris Boat Works' authoritative source-of-truth rules for any agent representing them: pricing currency, geography, no-Verado policy, financing minimums, deposit tiers, warranty.

Count business days (Monday-Friday) between two dates. Counts weekdays only; does NOT skip public holidays. Handles reversed ranges by swapping internally while echoing input dates unswapped.

通过系列代码和收集编号获取单张卡牌。

Get company cash flow statement data.

Retrieve the TypeScript source code for a specific Catalyst UI component. Components include forms (button, checkbox, input, etc.), navigation (navbar, sidebar, dropdown), layout (divider, heading), feedback (alert, badge, dialog), and data display (avatar, table, pagination). All components are production-ready TypeScript React components with Tailwind styling and Headless UI integration.

Get the list of known blockchain chains with their IDs. Useful for getting a chain ID when the chain name is known. This information can be used in other tools that require a chain ID to request information.

**[REAL-TIME API]** Analyze frequently used tags for a character by querying Danbooru API directly in real-time with advanced filtering options. Use this when: - You need the LATEST, most up-to-date tag statistics - The character data is NOT yet saved in the database - You want quick exploration without saving data - You need filtered analysis (clothing only, specific categories, include/exclude tags) For analyzing SAVED data, use Turso SQL tools instead. For bulk data collection to save, use 'collect_and_save' from Danbooru Turso Sync.

Get the full content of a single chat (one AI engine's response to one prompt on one date). Returns: - messages: the user prompt and assistant response(s) - brands_mentioned: brands detected in the response with their position - sources: URLs the model retrieved, with citation counts and position - queries: search queries the model issued - products: product gallery entries extracted from the response - prompt: { id } - model: { id } Use list_chats to discover chat IDs for a project.

Get details of a specific code scanning alert in a GitHub repository.

Retrieve comprehensive color design patterns documentation (~20KB). Covers color psychology, premium vs cheap distinctions, harmony systems, industry-specific guidance, and 2024-2025 modern trends. **RECOMMENDED WORKFLOW**: Due to the comprehensive nature of this content, consider using a subagent to execute the color selection workflow with full context. The subagent can analyze the guidance and make informed color decisions for your specific project.