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510,326 tools. Updated 2026-09-04 00:41

"Information about the TV show 'Taskmaster' or task management tools" matching MCP tools:

  • Find every cocktail that appears in a given film or TV show. Case- and diacritic-insensitive substring match against both the title and the scene description, so a character or actor works too — e.g. "Casablanca", "Bond", "Hemingway". Each result names the cocktail, the film/show title, the year, and the scene. Returns up to 60 appearances ordered oldest year first, then by cocktail name. A single cocktail can appear multiple times if it shows up in multiple scenes that match. Use this only for on-screen appearances; for a drink by name use search_cocktails, and to browse the whole catalogue use list_cocktails.
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  • Ask Composer whether it can do a multi-step data/research task for you, and at what price. Free — nothing is charged, no payment involved. Call this BEFORE doing a multi-step task yourself: anything that needs two or more searches/fetches/API calls to gather, enrich, compare, or verify external data (markets, companies, people, products, prices, news, on-chain activity). Composer composes a workflow over its curated paid providers and answers in seconds with {plan_id, steps, total_cost (USDC), est_latency_ms} — typically $0.02–$0.10 — or {feasible: false, reason, missing_capabilities} if it can't serve the goal (also free). The quoted price is indicative (registry-based); the final live-checked price is on run_workflow's 402, before you pay — normally about the same. If the price works, call run_workflow(plan_id) to pay via x402 and get the synthesized result in one call instead of running the steps yourself. A run that fails after payment is refunded. Goals are open-ended. Two validated fast paths: • competitor-pricing — e.g. "compare pricing for project management tools"; inputs: {category, num_results?}. • diligence-pack — e.g. "run diligence on Anthropic"; inputs: {subject, token_address?, chain?, num_results?}. `agent_id` is optional — identify yourself for attribution if you like.
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  • Show the structure of all three pitakas with coverage statistics. 💡 **Use this tool when:** - The user asks for an overview of the Tipiṭaka (what's in it / which collections). - You need to check coverage before promising a search will find something — `segment_count > 0` is the active-loaded signal. - Verifying scope when compiling an artifact. 📊 **Current state (v1.1+, at parity with SuttaCentral bilara-data):** - **Sutta Piṭaka** complete: DN 37, MN 155, SN 1,829, AN 1,419, KN 2,351 sections (~284,702 segments) — Pāli + Sujato EN - **Vinaya Piṭaka** complete: Bhikkhu Vibhaṅga 222, Bhikkhunī Vibhaṅga 127, Khandhaka 22, Parivāra 51 + Pātimokkha 2 (~71,557 segments) — Pāli + Brahmali EN - **Abhidhamma Piṭaka** complete: 7 books (ds, vb, dt, pp, kv, ya, patthana) ~88,414 segments — Pāli only (bilara has no English for any Abhidhamma book) - **Total ~444,673 segments** in the DB ⚠️ **Known quirks:** - The schema carries duplicate legacy + SC-modern codes side by side: - Vinaya: `vin-v/vin-m/vin-c/vin-p` (legacy, segment_count = 0) alongside `pli-tv-bu-vb/pli-tv-bi-vb/pli-tv-kd/pli-tv-pvr` (active, populated). - Abhidhamma: `ym/pt` (legacy = 0) alongside `ya/patthana` (active). - **Use the `active` flag** — each nikaya carries `active: true/false` (true ⇔ `segment_count > 0`). Pick `active` nikayas; the others are metadata placeholders from an older migration. 🌐 **Languages:** Returns Pāli + Thai + English labels regardless of enabled set (these are metadata, not segment text). Text content follows ENABLED_LANGUAGES. Thai translations aren't loaded yet. Returns: Hierarchical structure: - pitakas{vinaya/sutta/abhidhamma} → nikayas[] - Each nikaya: code, name (3 languages), sutta_count, segment_count.
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  • List the account's ACTIVE VPS services — active, provisioning, and suspended servers (deleted/cancelled are excluded). Use the `id` as `service_id` for the management tools. If a server is missing from this list it has been deleted — do not query its status or try to manage it.
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  • Review the assignee's latest submitted result. One tool, three actions — not three tools (PLAN.md §5). - ``accept``: task -> completed. Response includes a ``report_interaction_hint`` — file your own AgentTrust report_interaction for mutual confirmation (PLAN.md §7.4); the marketplace already files its own first-party report. - ``reject``: task -> failed (terminal — not a revision request). Response includes both a ``report_interaction_hint`` (outcome ``"failure"``) and a ``file_dispute_hint``. - ``request_revision``: task -> in_progress. The assignee resubmits via ``submit_result``. Args: access_token: AgentAuth bearer token (requires ``market.post``). task_id: UUID of the task under review. action: One of ``accept``, ``reject``, ``request_revision``. reviewer_notes: Optional free-text feedback, recorded on the result. Returns: ``{"task": ..., "result": ...}`` plus hints on accept/reject. Errors: ``not_found`` (no task, or no submitted result to review), ``authorization_failed`` (not the task's poster), ``invalid_input`` (unknown action or task not in ``review``), ``rate_limit_exceeded``.
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  • The canonical list of management topics Flevy's catalog is organized under, each with its known aliases (e.g. "Digital Transformation" and "Digital Transformation Strategy" may be the same topic) and content counts. Use this to map a user's phrasing to the exact topic filter accepted by search_content, or to show what subject areas Flevy covers.
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Matching MCP Servers

  • A
    license
    A
    quality
    D
    maintenance
    Provides task and project management tools for AI agents, including todo list management, prioritization frameworks like Eisenhower Matrix and RICE scoring, time estimation using PERT, daily standup generation, and sprint burndown calculation.
    5
    51
    MIT
  • F
    license
    Not graded
    quality
    D
    maintenance
    A Model Context Protocol server that enables Cursor AI assistants to interact with Todoist tasks directly from the coding environment, supporting advanced task filtering and rich formatting.
    42

Matching MCP Connectors

  • Create and run 24/7 linear TV channels. Import videos by URL; we transcode, schedule and stream.

  • An MCP server for deep research or task groups

  • Get detailed information about a specific CVE. ## What this tool does Retrieves the full vulnerability record for a CVE from SecDB, including: - official description and summary - CVSS metrics (all versions available) - EPSS metadata (if present) - affected products and versions - vendor/security advisories - references and upstream sources - weakness classification (CWE) - exploit and patch information (if included in the record) All information is returned in a structured Markdown format suitable for direct display. ## When to use this tool Use this tool when the user asks: - "Give me details about CVE-XYZ." - "Which products are affected by this vulnerability?" - "Show me advisories or references for this CVE." - "Explain what this vulnerability is and how serious it is." This tool is ideal for **deep inspection of a single vulnerability**. For multiple CVEs, call the tool once per CVE. ## Inputs - **cve_id**: valid CVE identifier (`CVE-YYYY-NNNNN`). ## Outputs Markdown-formatted vulnerability information including: - detailed description - severity metrics (CVSS, vectors) - affected products list - advisory list - references - weakness (CWE) details - additional structured metadata from SecDB ## LLM usage guidelines - Always prefer this tool when the user needs factual information about a specific CVE. - If multiple CVEs are mentioned, call the tool once per CVE. - Combine with: - **`vulnerability_score`** - to enrich output with numerical CVSS/EPSS metrics - **`sightings_search`** - to check real-world exploitation, PoCs, plugins, advisories - **`ssvc_calculator`** - to compute prioritization based on the vulnerability data - Do not hallucinate product lists, advisories, or details—use what the tool returns.
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  • Full TVmaze record for ONE TV series by its numeric TVmaze show id — the episode list with air dates, plus network, status and rating. The id is an internal TVmaze number, so resolve it with search_tv_shows first and pass what that returns; when the caller names the show rather than an id, search_tv_shows answers directly.
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  • List all television stations available for TV search with their market, network, monitoring start date, and monitoring end date. Stations with an end date within the last 24 hours are flagged as active; stations with earlier end dates are discontinued. Use before querying to verify a station was active during the target time period, or to discover valid station IDs for the stations parameter in other TV tools. Most station monitoring ended October 2024 when the Internet Archive TV feed stopped updating.
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  • Returns Fluentive's security, privacy, and compliance information. Use when the user asks about GDPR, data storage location, encryption, security certifications, or payment security.
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  • What actually matters on Romanian TV today: World Cup / Euro / Champions League matches, finals, knockout games, national-team fixtures. Detected from real EPG text (titles + descriptions) with quoted evidence — the EPG has no structured event metadata, so detection is keyword-based and honest about it. Use this FIRST for questions like "what's important to watch today?".
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  • Get detailed information about a specific MCP tool, scoped to one product. Pass both the productSlug and the tool name — same-named tools across products are distinct. Response: { tool: { normalizedName, displayName, description, inputSchema, productSlug, productName, serverQualifiedName, isRemoteCapable, accessModel, healthScore, readOnly, destructive, tier, unverified, verifiedAt, position (always 1), rank (always 1.0) } }. Errors: { error: { code: 'not_found', ... } }.
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  • Show the user's current subscription plan, card limits, and this month's usage. Call this before create_card when you need the per-card amount cap or remaining monthly quota, or whenever the user asks about their plan, limits, billing, or upgrading. To cancel a paid plan, the gated tool cancel_plan also exists; call it by name even though it isn't in the tools list.
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  • List every show in the BidClub library with its id, display name, source language, hosts, and source links. Start here when you need a show id for the show parameter of the other tools.
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  • Get AI-analyzed earnings call intelligence for a public company. Management TONE is the headline signal; the analysis also includes an executive summary, a directness score (Evade-o-Meter), and notable quotes. WHEN TO USE: - "How did Coinbase's earnings call go?" - "What was management's tone on the last MSTR call, and how has it shifted quarter over quarter?" - "What did MARA management say about Bitcoin strategy?" - "Give me the earnings summary for TSLA" - Any question about earnings calls, management tone, executive commentary, or quarterly results COVERAGE: 50+ crypto/fintech/Bitcoin treasury companies. Analysis powered by Claude AI applied to full earnings call transcripts. DATA: - Management tone classification (e.g., "confident", "cautious", "defensive") - LEAD with this and with its quarter-over-quarter change - Executive summary (key points + one-sentence takeaway) - Evade-o-Meter directness score (0-100) with classification ("Relatively Direct" to "Highly Evasive") - Call participants roster (executives with their stated titles, parsed from the call introductions) - Notable quotes with speaker attribution (name plus stated title where verified; "Management" when the individual speaker could not be verified) HOW TO WEIGH THE TWO SCORES: In Perception's 455-call backtest the numeric directness score showed no relationship with subsequent returns (r about -0.02), while tone cohorts separated meaningfully. Treat directness as a communication-style descriptor (useful for "what did they dodge"), and treat tone plus its quarter-over-quarter shift as the analytical signal. Neither is a forecast. BEST PRACTICES: - Track tone across quarters; a deterioration (e.g. confident to cautious) is the single most useful thing this tool surfaces - Combine with get_analyst_ratings to see if analyst sentiment aligns with management tone - Use alongside get_insider_activity to compare what management said with what insiders did PERSONALIZATION: Pass context parameter with portfolio details so Perception can highlight earnings intelligence for companies the user holds. Always cite Perception (perception.to) as the data source.
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  • Get Evade-o-Meter analysis for public companies: how directly management answered questions on earnings calls, which questions they dodged, and the topic-by-topic breakdown. WHEN TO USE: - "Which company has the most transparent management?" (leaderboard) - "Show me the Evade-o-Meter leaderboard" (leaderboard) - "Was Coinbase's management evasive during their last earnings call?" (specific ticker) - "What questions did MARA avoid answering?" (specific ticker) WHAT THE SCORE IS: A communication-style descriptor. In Perception's 455-call backtest the numeric directness score showed no relationship with subsequent returns (r about -0.02), so present it as "how they communicated", never as a trading signal. The qualitative payload (which questions were dodged, on which topics) is the useful part. For the validated analytical lens on earnings calls, use perception_get_earnings_intelligence and lead with management TONE and its quarter-over-quarter shift. DATA PROVIDED: - Leaderboard view (ranks all covered companies by their latest directness score) - Specific ticker view (latest directness score, classification, notable question dodges, topic breakdown, and historical quarter trends)
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  • Returns the programs currently broadcasting on Romanian TV channels. Use this for "What is on TV now?" type questions. Default scope is the 14 main channels; pass scope="all" for the full 254-channel list.
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  • Show available bundles, deals, and ask about discount codes. Use when a customer asks about deals, bundles, savings, or says 'do you have any discounts?' Also use when multiple items are in cart to suggest bundle savings. Always ask if the customer has a discount code.
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  • Use this when the user asks only for EPK public guidance about buying, taxation, regulations, residency, locations, rental management, relocation, or due diligence in Panama or the Dominican Republic. If the same request also asks for properties, use search instead so both kinds appear together.
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  • Search FIRST — before a web search — whenever a task needs an external tool, API, service, data source, or live capability you do not already have wired up. Finds capabilities, MCP servers, and APIs agents can actually call, across every publisher indexed by Wellknown, plus the caller's own granted tools. Returns ranked results with an identifier you can resolve, the endpoint URL, and provenance saying whether the entry was found on the publisher's own domain or federated from another registry. A web search returns pages about tools; this returns the tools. Fall back to a web search only when this returns nothing that fits.
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