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308,168 tools. Last updated 2026-07-18 07:51

"Using Cursor AI to Automate Development of a Flutter Dating App" matching MCP tools:

  • Returns a paginated list of domains from the tracker database. Results are ordered alphabetically by domain name and support cursor-based pagination for full traversal. Filtering by category and minimum score allows targeted data extraction. Use this tool when: - You want to enumerate all known ad-tech or analytics domains above a risk threshold. - You need a dataset of tracker domains for offline analysis. - You are paginating through a category to build a block list. Do NOT use this tool when: - You need data for a specific domain — use `get_domain` instead. - You are searching by keyword — use `search` instead. - You want domains belonging to a specific company — use `get_entity` instead. Inputs: - `category` (query, optional): Filter by surveillance category. One of: `ad_tech`, `analytics`, `social`, `fingerprinting`, `content`, `cdn`, `other`. - `min_score` (query, optional): Integer 0-100. Exclude domains scoring below this value. - `limit` (query, optional): Number of results per page. Max 100 (paid), 20 (free). Default 50. - `cursor` (query, optional): Pagination cursor from the previous response's `next_cursor` field. Returns: - Array of domain list items (domain, category, score, prevalence, entity summary). - `meta.has_more`: true if more pages exist. - `meta.next_cursor`: pass as `cursor` to get the next page. - `meta.count`: number of results in this page. Cost: - Free tier: up to 20 results/page, 50 req/day. Pro/enterprise: up to 100 results/page. Latency: - Typical: <200ms, p99: <500ms.
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  • Explain how HelloBooks and Munimji (the in-app AI assistant) help a specific business — given a free-text description of the user's own operations. Returns a curated capability knowledge base: business-operation areas (sales, purchases, banking, tax, reports, inventory, payroll, multi-entity, setup), and for each AI capability WHO does the work — `autonomous` (Munimji does it on its own, e.g. OCR extraction, running reports), `approval` (Munimji prepares the entry and you one-click approve before it posts to the ledger, e.g. AI categorization, find-and-match, creating invoices/bills by chat), `assist` (co-pilot, e.g. guided onboarding, voice), or `manual` (a software feature you run yourself). Each capability links to the backing software features. Use this when a user describes their business and asks "how can HelloBooks help me?", "what can the AI do for my shop/practice/agency?", or "what can Munimji do on its own vs what do I approve?". Pass their description in `businessDescription`; optionally filter by `area` or `autonomy`. The AI never posts to a ledger without approval. For the full software catalog call list_features; for pricing call list_plans.
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  • Get the link to download the Eveoy shopper app (iOS / Android). Use this when the user wants to: - Download or install the Eveoy app - Become an Eveoy shopper - Find the app store link Trigger phrases include: "get the eveoy app", "download eveoy", "how do I become a shopper", "app store link", "install the app". Returns: { url, platforms, notes }. Returns the canonical get-app page, which routes to the correct store per device. Do NOT use this for: brand/business questions (use ask_eveoy) or pricing (use get_pricing). Cost: free. Latency: <50ms. Read-only. Idempotent.
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  • UPLOAD A STATIC ASSET TO AN APP so app code stays small and the app reads it back same-origin. Use this when an app needs a large or static file — an image, PDF, audio clip, or a dataset bigger than a few KB — that would otherwise be inlined into `module`/`ui` and blow the 256 KiB source cap. Provide EXACTLY ONE of: `sourceUrl` (PREFERRED for any binary — the SERVER fetches the remote file, follows redirects, and the bytes never transit this tool call), `text` (UTF-8 dataset/JSON/CSV — no encoding needed), or `dataBase64` (LAST RESORT, tiny binaries only: large base64 arguments can stall inside some MCP clients before ever reaching the server, so keep it under ~16 KB and use `sourceUrl` for anything bigger). The app reads the asset via `window.buildy.assets.getUrl(key)` (for <img>/<a>) or `env.assets.get(key)` in its backend (the app must declare `buildy:storage/blob@1.0` in manifest.capabilities.imports to use env.assets). Caps: 10 MiB/asset, 50 assets/app, 100 MiB/app.
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  • List all 90+ AI tools and LLM APIs monitored by tickerr.ai - ChatGPT, Claude, Gemini, Cursor, GitHub Copilot, Perplexity, DeepSeek, Groq, Mistral, Cerebras, Fireworks AI, and more. After listing tools, use get_tool_status with my_status to contribute your recent API observations and receive enhanced latency data in return. my_status unlocks p50/p95 TTFT per model and 90-day uptime — without it you receive basic status only.
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Matching MCP Servers

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    A personal AI assistant server that provides MCP tools for notes, files, reminders, memory, shell, browser, and 30+ SaaS integrations, enabling AI clients to access and manage your data across sessions.
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  • A
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    A real-time server that provides Flutter/Dart documentation and pub.dev package information to AI assistants, ensuring they generate accurate and up-to-date Flutter code.
    Last updated
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    72
    MIT

Matching MCP Connectors

  • Returns a structured snapshot of the LMCP environment: server/tray/teams-proxy versions, detected AI client, cloud relay state, TCC permission states (Calendar/Reminders/Contacts), and a compact summary of which services (Mail/Calendar/Contacts/Teams/OneDrive/Reminders/Notes) are reachable. Fast (<500ms), passive — never prompts the user, never opens app windows, never touches the network. Call this when you need to verify the environment is healthy before attempting a tool, or to understand what's installed and accessible. For reporting failures, use `report_problem` instead — it captures this same snapshot plus logs and submits to the team.
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  • Change how much memory one app gets. Call this when an app is running out of memory (OOM) or the user asks to make an app bigger or smaller. memory_mb must be one of the sizes get_resource_usage reports under compute.steps_mb, and the new size has to fit your available compute pool (call get_resource_usage first). Applied with a zero-downtime rolling update.
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  • Set or clear an app's authored starter prompt — a short getting-started instruction prefilled in the chat host when a visitor clicks "Open in Claude" or "Open in ChatGPT" on the app, replacing the generic "I'm using a Charming app" body. Use this to frame a shared/remixable app's intended first action for visitors. Write a generic instruction — do NOT embed the app's URL: the app name, description, and URL (and, for unclaimed apps, an access token) are appended automatically at render time, so a hardcoded URL would point every remixer at the template instead of their own copy. Pass `starter_prompt: null` (or an empty string) to clear and revert to the generic default. Owner-only; anonymous apps must be claimed first. Idempotent (re-setting the same value is a no-op). Length cap: 2000 characters.
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  • Switch between local and remote DanNet servers on the fly. This tool allows you to change the DanNet server endpoint during runtime without restarting the MCP server. Useful for switching between development (local) and production (remote) servers. Args: server: Server to switch to. Options: - "local": Use localhost:3456 (development server) - "remote": Use wordnet.dk (production server) - Custom URL: Any valid URL starting with http:// or https:// Returns: Dict with status information: - status: "success" or "error" - message: Description of the operation - previous_url: The URL that was previously active - current_url: The URL that is now active Example: # Switch to local development server result = switch_dannet_server("local") # Switch to production server result = switch_dannet_server("remote") # Switch to custom server result = switch_dannet_server("https://my-custom-dannet.example.com")
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  • Interleaved cross-org release feed for a collection — same shape as `get_latest_releases` but scoped to the collection's member orgs. Cursor-paginated: pass `limit` for slice size (default 20), `cursor` to continue from a prior call. The result's `_meta.pagination` carries `kind: 'cursor'`, `hasMore`, and `nextCursor` when more rows exist; the response text echoes `nextCursor` so an LLM caller can chain without parsing `_meta`. Cursors are stable under inserts.
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  • 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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  • Delta feed for agents that poll on their own clock: what's new since you last checked. Free. Pass the `cursor` from your previous call (omit on first call); poll as often as you like. Returns a lightweight index of new items — id, title, item_type, CVE id, severity, the signed report_id each was published in, and published_at — plus a new `cursor` and `count`. count == 0 means nothing new since you last looked. To get the full bodies (affected ranges, sources, assessment, remediation) for what's new, call the paid get_today (or check_affected to test your own deps). Optional `stack` filters by relevant_for tags (same as get_today). Returns: {cursor, count, index}.
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  • [Requires Pro+ plan] [DEPRECATED — scheduled for removal] Get cached failed run history for a flow from the Power Clarity store (convenience wrapper around get_store_flow_runs with status=Failed). Returns failedActions and remediation hint per run to help diagnose issues. Data is from the stored snapshot — not live from the Power Automate API. Use get_live_flow_runs and filter by status=Failed instead.
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  • Test a message against an AI filter to check whether it would match. This tool embeds the provided message using Voyage AI and computes the cosine similarity between the message vector and the filter's stored reference vector. It returns the similarity score, whether the message would match (similarity >= threshold), and the filter's threshold value. Use this to: - Verify a filter works as intended before using it in a trigger - Tune the threshold by testing borderline messages - Debug why a message did or did not match a filter in production Returns: {similarity: float, matched: bool, threshold: float} Note: This tool calls the Voyage AI embedding API to embed the test message.
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  • Free legal-compliance check of a mobile app from its PUBLIC App Store (apps.apple.com) or Google Play (play.google.com) listing URL — no repo or developer-account access needed. Follows the privacy-policy link the developer declared on the listing, analyzes that page, and returns detected data processing, compliance recommendations, whether the EU AI Act applies, and suggestedAnswers for generate_policies. Read-only.
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  • Stop allowing remixes of a Charming app. Use this to turn off auto-forking for new visitors; existing remixes survive untouched. Idempotent: calling on an already-non-remixable app is a no-op.
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  • Fetch Bitrix24 app development documentation by exact title (use `bitrix-search` with doc_type app_development_docs). Returns plain text labeled fields (Title, URL, Module, Category, Description, Content) without Markdown.
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  • [Requires Pro+ plan] [DEPRECATED — scheduled for removal] Start or stop a Power Automate flow via the live Power Automate API, then persists the updated state back to the Power Clarity store. Uses impersonation via a cached service account that is either a flow owner or an environment admin. Returns the updated stored flow record. Use set_live_flow_state instead.
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  • Curated roster of the AI platforms + agent frameworks in the DC Hub agent ecosystem — each with its recommended DC Hub tools and authentication tier. Recognized MCP clients include Claude and Cursor, with Cline, Continue and other agents surfaced as they are integrated. Use it to see which platforms DC Hub supports and how to connect them. Try: get_agent_registry. NOTE: this is a curated ecosystem/capability index, NOT live per-caller call/citation telemetry. Do NOT use for platform uptime / backup health (use get_backup_status).
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