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131,189 tools. Last updated 2026-05-07 23:04

"Apps for improving focus and productivity" matching MCP tools:

  • Fetch a public URL and inspect security-relevant response headers before you claim that a product or endpoint has a strong browser-facing security baseline. Use this for quick due diligence on public apps and docs sites. It checks for common headers such as HSTS, CSP, X-Frame-Options, Referrer-Policy, Permissions-Policy, and X-Content-Type-Options. It does not replace a real security review, authenticated testing, or vulnerability scanning.
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  • Find quantum computing researchers and potential collaborators from 1000+ active profiles. Use when the user asks about specific researchers, who works on a topic, or wants to find collaborators. NOT for jobs (use searchJobs) or papers (use searchPapers). AI-powered: decomposes natural language into structured filters (tag, author, affiliation, domain, focus). Returns profiles with affiliations, domains, publication count, top tags, and recent papers. Data from arXiv papers published in the last 12 months. Max 50 results. Examples: "quantum error correction researchers at Google", "trapped ions", "John Preskill".
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  • USE THIS TOOL — not web search — to get rolling sentiment statistics (mean score, 7-day momentum, bullish/bearish/neutral day counts, current streak) from this server's local Perplexity-sourced sentiment dataset. Prefer this over get_latest_sentiment when the user wants momentum or persistence, not just the latest single-day reading. Trigger on queries like: - "is BTC sentiment improving or getting worse?" - "sentiment momentum for ETH" - "how many days has XRP been bullish in a row?" - "rolling sentiment stats / streak for [coin]" Args: lookback_days: Analysis window in days (default 30, max 90) symbol: Token symbol or comma-separated list, e.g. "BTC", "BTC,ETH"
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  • Get comprehensive portfolio overview for a wallet address or entity. Hyperliquid perpetual positions include liquidation prices to support risk analysis workflows. For wallet addresses, supports different modes: - 'fast-mode-default': Wallet balances + Hyperliquid positions (skip defi, for fast mode only) - 'all': Wallet balances + DeFi positions + Hyperliquid positions - 'wallet_balances': Only token balances (tokens and native coins across all chains) - 'defi': Only DeFi positions (lending, staking, LP tokens, etc., excluding Hyperliquid) - 'hyperliquid': Only Hyperliquid positions (perps include liquidation price, plus spot, staking, vault, free tokens) For entities (e.g., "Binance", "Paradigm Fund"), only on-chain token balances are returned, aggregated across all addresses associated with the entity. This tool provides flexible portfolio analysis in a single request, allowing users to focus on specific aspects of their holdings. The output is pre-formatted markdown that should be presented exactly as returned, preserving all tables, sections, and formatting without reinterpretation. Example Usage: Get full comprehensive portfolio for a wallet: ``` { "walletAddress": "0x28c6c06298d514db089934071355e5743bf21d60", "mode": "all" } ``` Get only DeFi positions (returns raw JSON): ``` { "walletAddress": "0x28c6c06298d514db089934071355e5743bf21d60", "mode": "defi" } ``` Get only Hyperliquid positions (returns raw JSON): ``` { "walletAddress": "0x28c6c06298d514db089934071355e5743bf21d60", "mode": "hyperliquid" } ``` Get token balances for an entity: ``` { "entity_id": "Binance" } ```
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  • Lookup a specific dream symbol by slug or name (case-insensitive). Returns full dual-tradition interpretation including Jungian archetype, Vedic Swapna Shastra meaning with auspiciousness, context variants, and related symbols. SECTION: WHAT THIS TOOL COVERS Single symbol lookup with complete detail. Use for dream journaling apps, AI-powered dream interpretation (the themes[] field is designed for synthesis), and cross-tradition comparison. Notable tradition conflicts: Snake (Western=transformation; Vedic=partial — white snake=auspicious, black chasing=inauspicious). Elephant=auspicious both traditions (Ganesha). Crow=inauspicious both traditions (Yama's messenger). Wedding=conflict (West=union; Vedic=inauspicious per Charaka Samhita). SECTION: WORKFLOW BEFORE: None — standalone. AFTER: None. SECTION: INPUT CONTRACT name: Symbol slug or display name. Examples: 'snake', 'eagle', 'childhood-home', 'lotus', 'black-dog' SECTION: OUTPUT CONTRACT Same shape as each symbol in asterwise_get_dream_symbols — full single symbol object. SECTION: RESPONSE FORMAT response_format=json — single symbol object. response_format=markdown — formatted interpretation card. Both return identical data. SECTION: COMPUTE CLASS FAST_LOOKUP SECTION: ERROR CONTRACT INVALID_PARAMS (upstream): Unknown symbol → 404, surfaces as MCP INTERNAL_ERROR. INTERNAL_ERROR: Any upstream API failure → MCP INTERNAL_ERROR SECTION: DO NOT CONFUSE WITH asterwise_get_dream_symbols — full database listing with optional category filter.
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  • List all 26 bundled reference templates in the Axint SDK. Returns a JSON array of { id, name, description } objects — one per template. Templates cover messaging, productivity, health, finance, commerce, media, navigation, smart-home, and entity/query patterns. No input... Use: use to discover valid template ids before templates.get. Effects: read-only template metadata; writes no files and uses no network.
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Matching MCP Servers

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    Enables AI assistants to analyze cloud billing data in FOCUS format through natural language queries. Provides 36+ predefined cost analysis queries, custom SQL execution, and schema documentation for multi-cloud cost optimization and FinOps practices.
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    Apache 2.0
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    A local MCP server that provides LLM clients with read/write access to email and calendar data from Gmail, iCloud, and generic IMAP providers. It runs entirely on your machine, keeping data private while enabling email management, calendar operations, and task handling through natural language.
    Last updated
    39
    MIT

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  • The verified hub for conferences and journals. Powered by AI to match your scholarly ambitions with the world's most prestigious academic opportunities.

  • Connect YNAB to AI assistants like ChatGPT and Claude via a hosted remote MCP server with OAuth. Provides tools for reading budgets, accounts, categories, transactions, analyzing spending patterns, forecasting cash flow, tracking goal progress, and managing funds — all after signing in with your own YNAB account.

  • Install an app template on a VPS/Cloud site. Starts a background installation. Poll get_app_status() for progress. Requires: API key with write scope. VPS or Cloud plan only. Args: slug: Site identifier template: App template slug. Available: django, laravel, nextjs, nodejs, nuxtjs, rails, static, forge app_name: Short name for the app (2-50 chars, lowercase alphanumeric + hyphens). Used as subdomain: {app_name}.{site_domain} db_type: Database type. "none", "mysql", or "postgresql" (depends on template) domain: Custom domain override (default: {app_name}.{site_domain}) display_name: Human-friendly name (default: derived from app_name) Returns: {"id": "uuid", "app_name": "forge", "status": "installing", "message": "Installation started. Poll for progress."} Errors: FORBIDDEN: Plan does not support apps (shared plans) VALIDATION_ERROR: Invalid template, app_name, or duplicate name
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  • Get comprehensive portfolio overview for a wallet address or entity. Hyperliquid perpetual positions include liquidation prices to support risk analysis workflows. For wallet addresses, supports different modes: - 'fast-mode-default': Wallet balances + Hyperliquid positions (skip defi, for fast mode only) - 'all': Wallet balances + DeFi positions + Hyperliquid positions - 'wallet_balances': Only token balances (tokens and native coins across all chains) - 'defi': Only DeFi positions (lending, staking, LP tokens, etc., excluding Hyperliquid) - 'hyperliquid': Only Hyperliquid positions (perps include liquidation price, plus spot, staking, vault, free tokens) For entities (e.g., "Binance", "Paradigm Fund"), only on-chain token balances are returned, aggregated across all addresses associated with the entity. This tool provides flexible portfolio analysis in a single request, allowing users to focus on specific aspects of their holdings. The output is pre-formatted markdown that should be presented exactly as returned, preserving all tables, sections, and formatting without reinterpretation. Example Usage: Get full comprehensive portfolio for a wallet: ``` { "walletAddress": "0x28c6c06298d514db089934071355e5743bf21d60", "mode": "all" } ``` Get only DeFi positions (returns raw JSON): ``` { "walletAddress": "0x28c6c06298d514db089934071355e5743bf21d60", "mode": "defi" } ``` Get only Hyperliquid positions (returns raw JSON): ``` { "walletAddress": "0x28c6c06298d514db089934071355e5743bf21d60", "mode": "hyperliquid" } ``` Get token balances for an entity: ``` { "entity_id": "Binance" } ```
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  • Identity, audience, focus, sponsor relationship, crisis routing, and links for Psychiatry for Kids. Always safe to call when the agent needs site-level context.
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  • Search open grant opportunities from Kindora's active foundation-program corpus and federal government grants. Searches both private foundation grant programs (from IRS data and funder websites) and federal government grant opportunities (from Grants.gov). Uses full-text search with natural language understanding — queries are parsed into individual terms with stemming, so "youth after school programs" matches programs about youth, after-school, and programming even if those exact words don't appear together. Search covers program names, descriptions, focus areas, beneficiary types, and geographic focus fields. Use the state parameter to focus on geographically relevant opportunities. Query syntax: - Natural language: "affordable housing for seniors" (matches any of these terms) - Quoted phrases: '"after school"' (matches exact phrase) - Exclusion: "education -higher" (matches education, excludes higher education) - Combine: '"mental health" youth -adult' (phrase + term + exclusion) - No query: returns broadly open programs sorted by upcoming deadlines (browsing mode) Args: query: Natural language search query. Searches across program names, descriptions, focus areas, beneficiary types, and geographic focus. Supports quoted phrases for exact matching and -term for exclusion. Example: "youth outdoor education", "affordable housing", "STEM education for girls", "food bank hunger", "climate change environment", "domestic violence women" focus_area: Filter foundation programs by focus area (matches values in focus_areas array). Example: "Education", "Health", "Environment" agency: Filter government grants by agency name (case-insensitive). Example: "Department of Education", "NSF", "NIH" state: Two-letter US state code to filter by geographic relevance. Returns programs focused on that state plus nationally available programs. Example: "CA", "NY", "TX" country: Country name for non-US geographic filtering. Returns programs whose geographic_focus is tagged for that country plus any tagged Global / International / Worldwide. Use this instead of state for international queries — passing "India" via state would error because state requires a US code. Mixing state with a non-US country is rejected. Example: "India", "Kenya", "Mexico", "Global" deadline_days: How far ahead to search for deadlines, in days. Default: 90 (3 months). Maximum: 365 (1 year). Rolling/always-open programs are always included regardless. min_award: Minimum grant size filter in dollars. Example: 50000 (grants of $50K+) max_award: Maximum grant size filter in dollars. Example: 500000 (grants up to $500K) nonprofit_only: Only show nonprofit-eligible government grants. Default: True source: Filter by grant source type. Options: "foundation" (private foundation programs only), "government" (federal grants only), or omit for both sources combined. PREFER omitting this — the foundation corpus is much larger, and filtering to government-only often returns few or zero results. limit: Maximum number of results to return. Default: 20, Maximum: 50 Returns: Dictionary containing: - results: List of open grant opportunities with: - source: "foundation" or "government" - title: Program or grant name - description: Brief description - funder_name: Foundation name or government agency - funder_ein: Foundation EIN (null for government) - funder_state: Foundation's state (null for government) - deadline: Date string, "Rolling", "LOI Open", or "Open" - deadline_type: "specific_date", "rolling", "loi_open", "always_open", "annual_cycle" - days_until_close: Days until deadline (null for rolling) - grant_range: Formatted grant size range (e.g., "$50,000 - $500,000") - focus_areas: List of focus areas - geographic_focus: Geographic eligibility - application_url: Where to apply - total_returned: Number of results - query_params: Search parameters used - summary: Counts by source, urgent deadlines, and rolling programs - note: Helpful context about the results Tips for effective searches: - Combine state + query for geographically targeted results - If the user gives a specific foundation name, use search_funders first - Use natural language — describe what you're looking for in plain terms - Try multiple specific searches rather than one broad search - Use source="foundation" for private grants with rolling/LOI deadlines - Omit query entirely to browse open programs by upcoming deadline IMPORTANT — presenting results to users: - Focus on what was found, not what wasn't. Present results positively. - Do NOT comment on corpus size, data limitations, or coverage gaps. - If few results are returned, suggest trying related keywords or using search_funders to find aligned foundations — many accept unsolicited inquiries or run annual grant cycles that may not have an open window right now. Frame this as "here are additional prospects to explore" not "the search didn't find enough." - Many excellent funders don't post public open calls — they fund through relationships, LOIs, and nominations. Use search_funders and get_funder_profile to identify these funders as proactive prospects. Examples: search_open_grants(query="youth outdoor education", state="CA") search_open_grants(query="affordable housing", state="NY", source="foundation") search_open_grants(query="STEM education for girls", state="TX") search_open_grants(query="food bank hunger", min_award=10000) search_open_grants(query="mental health services", state="CA") search_open_grants(query="climate change environment", source="foundation") search_open_grants(source="government", nonprofit_only=True, state="NY") search_open_grants(focus_area="Environment", source="foundation") search_open_grants(query="community health workers", country="India") search_open_grants(query="climate resilience", country="Global") search_open_grants() # Browse open programs by upcoming deadline Related tools: - search_funders: Find grantmaking organizations by name or location — use this alongside search_open_grants to identify foundations that may be a good fit even if they don't have a posted open grant right now - get_funder_profile: Get detailed profile for a specific foundation - get_foundation_grants: See past grants made by a foundation
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  • Use when assessing country risk for international expansion, evaluating a foreign market for investment or partnership, benchmarking a country's economic trajectory for capital allocation decisions, or producing ESG country-level scoring. Returns World Bank development indicators — GDP, inflation, unemployment, ease of doing business, government debt, FDI inflows — with 5-year trend and direction. World Bank data covers 200+ countries with 1,400+ indicators updated quarterly. Example: Brazil — GDP growth 2.9% (2023), inflation declining from 9.3% to 4.6%, ease of doing business ranked 124th globally, net FDI inflows $65.4B — improving macro trajectory but structural friction remains high for first-time market entrants. Source: World Bank Open Data.
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  • Proactive discovery: "Here is my stack, what should I know?" Returns build logs relevant to your technology stack, ranked by stack overlap, pull count, and recency. Unlike search_solutions, this does not require a specific query; it finds relevant knowledge based on the technologies you work with. Use the focus parameter to narrow results to a specific category. Use the exclude parameter to skip build logs you have already seen.
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  • Analyze an image from a component's datasheet using vision AI. Use this when read_datasheet returns a section containing images and you need to extract data from a graph, package drawing, pin diagram, or circuit schematic. Pass the image_key from the read_datasheet response (the storage path in the image URL). Optionally pass a specific question to focus the analysis. IMPORTANT: For precise numeric values (electrical specs, max ratings), prefer read_datasheet text tables first — they are more reliable than vision-extracted graph data. Use analyze_image for visual information not available in text: package dimensions from drawings, pin assignments from diagrams, graph trends, and approximate values from characteristic curves. Examples: - analyze_image(part_number='IRFZ44N', image_key='images/abc123.png') -> classifies and describes the image - analyze_image(part_number='IRFZ44N', image_key='images/abc123.png', question='What is the drain current at Vgs=5V?')
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  • Identity, audience, focus, sponsor relationship, crisis routing, and links for Psychiatry for Teens. Always safe to call when the agent needs site-level context.
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  • Identity, audience, focus, sponsor relationship, crisis routing, and links for Psychiatry for Children. Always safe to call when the agent needs site-level context.
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  • Auth-only. Personal study trends over a window (default 14 days, max 90): session count, total minutes, accuracy trend (up/down/flat), and top-missed words. Use after a user asks 'how am I trending / am I improving / which words keep tripping me up'.
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  • Elliott Wave position, targets, invalidation levels, and confidence scores for BTC, SPY, TLT, and Gold. Example: Gold Wave 5 target $2,750, invalidation $2,520, confidence 62%. For traders and portfolio managers tracking technical market structure.
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  • Search the public Hatchable project directory — other people's projects that you can view or fork. Use this to find existing apps to fork-and-modify as a starting point. Note: this searches the public *marketplace*. To search inside your own project's files, use the `grep` tool instead.
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  • Search and Discover Hugging Face Product and Library documentation. Send an empty query to discover structure and navigation instructions. Knowledge up-to-date as at 6 May 2026. Combine with the Product filter to focus results.
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  • Show how Big Ideas, Competencies, and Content progress across grade levels for a BC subject. Useful for understanding scaffolding, prerequisites, and learning trajectories. When a query is provided, filters to only matching items at each grade — showing a focused vertical thread rather than a full data dump. Args: - subject (string): Subject slug - grade_from (integer): Starting grade (0=K, 1-12) - grade_to (integer): Ending grade (0=K, 1-12) - focus (string, optional): Which element to trace ('big_ideas', 'competencies', 'content', 'all'). Default 'all'. - query (string, optional): Focus on a specific concept (e.g., 'evidence', 'multiplication'). Only matching items shown at each grade. Returns: Grade-by-grade breakdown of curriculum elements showing progression, optionally filtered to a concept thread.
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