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240,037 tools. Last updated 2026-06-27 04:19

"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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  • 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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  • Composite: resolve a TELA dURL (e.g. "vault.tela") to its on-chain SCID(s) by discovering TELA apps directly from chain — no external Gnomon indexer required. TELA apps advertise a human-readable dURL; this finds the contract(s) that claim it. When to call: when a user asks "what's the SCID for <something>.tela", "find the TELA app called X", or gives a dURL and wants the contract. IMPORTANT routing: for a registered DERO NAME like "quickbrownfox" (no dot, not a dURL), use dero_name_to_address instead — that is a name to address lookup, not a TELA app. This tool is only for TELA dURLs (they contain a dot / .tela / a dero:// prefix). Input Requirements: - `durl` is REQUIRED. A TELA dURL such as "vault.tela", "feed.tela", or "dero://cipherchess.tela". Case- and prefix-insensitive. Output: `{ query, normalized, found, match_count, scid, primary, collision, other_candidates[], narrative, related_docs }` on a hit; `{ query, normalized, found:false, match_count:0, hint }` on a miss. dURLs are NOT unique — when multiple contracts claim one, the NEWEST is returned as `scid`/`primary` and the rest are disclosed in `other_candidates` with `collision:true`. The first call triggers a ~10s one-time discovery scan of the newest chain contracts (cached afterward). Feed the returned scid to tela_inspect to view the app.
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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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  • 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)
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  • Fetch incident history and scheduled maintenance windows for a vendor. Returns full incident timeline — each investigator update, affected components, and resolution. Filter by status to focus on active incidents (use before deploy), resolved history (for postmortem), or upcoming maintenance windows.
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Matching MCP Servers

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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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    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.
    Last updated
    10
    Apache 2.0

Matching MCP Connectors

  • Rick and Morty MCP — wraps the Rick and Morty API (free, no auth)

  • Give your AI agent a phone. Place outbound calls to US businesses to ask, book, or confirm.

  • Scan a PUBLIC GitHub repo for GitHub Actions + CI security/maintenance hygiene before launch — ideal for apps built with Lovable, Bolt, Replit, Cursor, or v0 ("is my AI-built app safe to ship?"). Returns a safe summary: findings by category with counts, an unlisted report URL, and fix options. SCOPE, honestly: it checks GitHub Actions workflow + update-automation hygiene only — it does NOT check exposed secrets, auth, payments, webhooks, or runtime behavior, which need a manual review. No API key required. For PRIVATE repos, tell the user to run `npx taskbounty-check .` locally so their source never leaves their machine.
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  • Gender Risk & Opportunity Intelligence — maps the structural relationship between GBV prevalence, legal discrimination, female labour force participation, and economic outcomes across 18 countries. Returns two independent scores: gbvRiskScore (0–100 suppression risk — high GBV → female LFPR suppression → GDP drag → fiscal stress → sovereign risk premium) and opportunityScore (0–100 reform upside — improving GBV indicators, closing LFPR gender gaps, and strengthening legal rights precede FDI inflows and consumer credit expansion). Five transmission mechanisms. Live FRED economic stress feedback. AI synthesis. Data: WHO GHO, World Bank WDI, FRED. 12h cache. No input required — GET.
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  • Compile a minimal JSON schema directly to Swift, bypassing the TypeScript DSL entirely. Supports intents, views, components, widgets, and full apps via the 'type' parameter. Uses ~20 input tokens vs hundreds for TypeScript — ideal for LLM agents... Use: use for token-light JSON-to-Swift generation; use compile for full TypeScript DSL control. Effects: read-only Swift generation; writes no files and uses no network.
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  • Identity and links for Psychiatry for Teens: tagline, audience, focus, publisher, sponsor relationship to Emora Health, and key URLs.
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  • Public (no auth): describe what Cabgo is. Returns the full product catalog — what kinds of apps an operator can launch, pricing, who Cabgo is for, and how to onboard. Use ONLY when the user explicitly asks what Cabgo is, what it does, or wants an overview. **Do NOT call this as a pre-step before cabgo_create_my_app** — when the user wants to create / launch an app, go directly to cabgo_create_my_app without fetching context first.
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  • Set an environment variable for a project. Variables are encrypted at rest (AES-256-GCM) and injected at container runtime. NOTE: DATABASE_URL, PGHOST, PGPORT, PGUSER, PGPASSWORD, and PGDATABASE are all auto-injected for the managed PostgreSQL database — you do NOT need to set any of them manually. The PORT variable is auto-managed: 8080 for auto-detected frameworks (Next.js, Node.js, Python), or auto-detected from the Dockerfile EXPOSE directive for custom Dockerfile builds. IMPORTANT: Changing env vars does NOT auto-redeploy. You must call deploy or use the redeploy API endpoint to apply changes. For Next.js apps, NEXT_PUBLIC_* variables must be set BEFORE deploying since they are embedded at build time.
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  • Composite: list/browse the TELA apps discovered on-chain (each with its dURL, name, SCID, and doc count) — answers "what TELA apps exist?" without any external indexer. Powered by an in-process scan of the newest chain contracts. When to call: when a user wants to explore or search the TELA ecosystem ("what TELA apps are there", "show me TELA games", "is there a TELA app about X"), or to find a SCID when they do not know the exact dURL. For an exact dURL use dero_durl_to_scid; to inspect a specific SCID use tela_inspect. Input Requirements: - `query` is OPTIONAL. Case-insensitive filter matched against dURL and name (e.g. "chess", "vault"). - `limit` is OPTIONAL (default 50, max 200). Output: `{ query, total_matched, returned, truncated, apps:[{ scid, durl, name, install_height, doc_count }], index_meta, narrative, related_docs }`. The first call triggers a ~10s one-time discovery scan (cached afterward). `index_meta` discloses how much of the chain was scanned so the answer's coverage is transparent.
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  • Provisions a managed MySQL (or MariaDB) database on a dedicated VM on your private network — the relational-database resource (use this instead of create_database when the app needs MySQL/MariaDB, e.g. WordPress, NextCloud, Matomo, many PHP/LAMP apps). It is PRIVATE — reachable only from another instance on the same private network, via the DB's internal/private IP (port 3306), not a public address. Get the ids from list_flavors, list_private_networks, list_keypairs. Provisioning takes ~5 min; poll list_relational_databases until status='ready', then the connection details (private_ip, port 3306, db_name, db_user) are populated. MySQL is created with mysql_native_password auth so older clients/apps connect cleanly. (ClickHouse is a separate resource — use create_clickhouse / list_clickhouse_databases.)
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  • Fetch SnowSure-unique ML/AI trend datasets from the public REST API. Use for powder-day leaders, bluebird-day leaders, bluebird predictions, improving/stable/declining score pulse, per-model accuracy weights, daily SnowSure score component history, ML extended outlook (days 8–14), global forecast trust, and powder/bluebird event logs. Start with dataset=catalog. Prefer get_insights for narrative intelligence cards; use this for raw rankings and time series.
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  • Overview of the authenticated Mailopoly account: name, email, connected mail accounts, connected messaging apps (Slack etc. — their messages appear in the feed with a 'source' field and are replied to via send_email's reply_to_email_id), and inbox/task counts. Useful as a first call to understand whose data you're working with.
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  • POST /apps/{appId}/test-suites/run — Run test suites — Run test suites against a PUBLIC target URL. DO NOT use for local-app / localhost runs — base_url must be reachable from the SaaS backend (rejects loopback / private IPs as 400 'invalid baseURL'). For localhost runs use the MCP tool record_sandbox_test (keploy agent). Optional sandbox_mode field: ""|"rerecord"|"integration_test" — the sandbox modes are primarily used through MCP's record_sandbox_test / replay_sandbox_test tools. Requires scope: `write`.
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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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  • POST /apps/{appId}/recordings/bundle — Atomic test set + cases + mocks + mappings ingest — Bundle ingest — creates the test set, every test case, every mock, and the mapping doc in a single call. Each step is its own DB write; partial failure leaves earlier rows in place, callers can replay safely. Branch-aware via optional `branch_id` — when set, every row lands on the overlay until merge. Use this when authoring a recording from scratch (LLM workflows, CLI imports). For incremental edits, prefer the per-resource endpoints (`createMock`, `createTestCase`, etc.). Requires scope: `write`.
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  • Interactive single-site design-conditions explorer. Returns full ASHRAE design conditions + diurnal chart for the requested scenario. In MCP Apps-capable hosts (Claude Desktop, ChatGPT, VS Code, Goose), the response renders as a widget with sliders for SSP / year / percentile / UHI — dragging a slider re-calls this tool live. Use when a user wants to interactively tune a single site. For multi-site comparison, use analyze_weather(urls=[...]) instead. Defaults to present-day TMY (no morph) — pass ssp+year for future scenarios. P75 default percentile is design-realistic; P50 underestimates the tail. No auth required.
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