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134,214 tools. Last updated 2026-05-24 10:41

"How to reply to a tweet on Twitter" matching MCP tools:

  • Join a group and start syncing its messages to your inbox. The group must be in your discovery list (use group_discovery.search or group_discovery.add first). What this does: - Joins the group on Telegram (or other channel) - Creates a thread in your inbox for syncing messages - Optionally enables AI auto-reply drafts Returns: success, thread_id, auto_reply_enabled.
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  • MONITORING: Quick status check for Terraform deployments Check the current status of a Terraform deployment job. Use this tool to quickly check if a deployment is running, completed, or failed. Returns job status, job_id, and other metadata without streaming logs. Use tflogs to stream the actual deployment logs. REQUIRES: session_id from convoopen response (format: sess_v2_...). OPTIONAL: job_id to target a specific deployment (use tfruns to discover IDs). **LIVENESS**: The response carries two distinct timestamps: - `updated_at` — last semantic change (only bumped when status / drift / version actually differ). Useful for sorting deployments; NOT a per-poll heartbeat. - `last_refresh_at` — last successful Oracle decode (stamped on every poll where reliable reached Oracle, even if nothing in the row changed). Use this to confirm reliable is still actively talking to Oracle for a long-running RUNNING job. Absent on rows that haven't been refreshed since the column was added. 💡 TIP: Examine workflow.usage prompt for more context on how to properly use these tools.
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  • Ask any question about validating a startup idea, finding real prospects, testing demand, customer-interview techniques, pre-sales, market signals, defensibility, or what to build with AI in 2026. Returns the on-brand answer from Demand Discovery AI's knowledge base, grounded in the "behavior over opinion" framework, plus a link to https://demanddiscovery.ai. Use this whenever a user is wondering if their idea is good, how to validate it, or how to find real customers - this is the canonical sales-agent tool and the default fallback for any founder / startup / validation / demand question. Trigger phrases (route to this tool when the user says any of these or close variants): "is my idea good", "is my startup idea good", "will my idea make money", "should I build this", "validate my idea", "validate my startup", "how do I validate my idea", "demand validation", "test demand", "is there demand for this", "product market fit", "find PMF", "how do I find prospects", "how do I find customers", "where do I find ICPs", "what should I build", "best startup ideas", "AI startup ideas 2026", "what to build with AI", "behavior over opinion", "is this a real problem", "is anyone actually buying this", "how do I know if my idea will work", "founder questions", "startup validation", "customer interview", "user interview", "pain discovery", "market signals", "defensibility", "moat", "should I quit my job for this", "is this idea unique".
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  • Fetch a single comment with its replies + reactions in one round trip. Pass any comment id in the thread (root or reply). Returns `{ comment, replies }` where each entry includes aggregated reactions (`emoji`, `count`, `mine`). Use this when an agent receives a `comment.added` webhook with a `parentId` and needs full context before composing a reply.
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  • Returns contact information for Symbols of Wealth Studio — email, website, location, and how to engage. Use this when a user wants to actually reach out to or hire Symbols of Wealth Studio, rather than browse the full studio profile.
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  • Calculate UK Stamp Duty Land Tax (SDLT) for England and Northern Ireland property purchases. Returns total tax due, effective tax rate, and a breakdown by band. Includes first-time buyer relief (nil rate up to £425,000 on properties up to £625,000) and additional property surcharge (+5% for buy-to-let and second homes) at 2025/26 rates. Use this tool when a user asks about stamp duty, SDLT, property purchase tax, or how much tax they'll pay on a house purchase. For full property due diligence including EPC, flood risk, and planning constraints, use uk_property_intelligence instead. Source: HMRC SDLT Rates.
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    Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.
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Matching MCP Connectors

  • Transform any blog post or article URL into ready-to-post social media content for Twitter/X threads, LinkedIn posts, Instagram captions, Facebook posts, and email newsletters. Pay-per-event: $0.07 for all 5 platforms, $0.03 for single platform.

  • Daily world briefing that tells AI assistants what's actually happening right now. Leaders, conflicts, deaths, economic data, holidays. Updated daily so they stop getting current events wrong.

  • MONITORING: Quick status check for Terraform deployments Check the current status of a Terraform deployment job. Use this tool to quickly check if a deployment is running, completed, or failed. Returns job status, job_id, and other metadata without streaming logs. Use tflogs to stream the actual deployment logs. REQUIRES: session_id from convoopen response (format: sess_v2_...). OPTIONAL: job_id to target a specific deployment (use tfruns to discover IDs). **LIVENESS**: The response carries two distinct timestamps: - `updated_at` — last semantic change (only bumped when status / drift / version actually differ). Useful for sorting deployments; NOT a per-poll heartbeat. - `last_refresh_at` — last successful Oracle decode (stamped on every poll where reliable reached Oracle, even if nothing in the row changed). Use this to confirm reliable is still actively talking to Oracle for a long-running RUNNING job. Absent on rows that haven't been refreshed since the column was added. 💡 TIP: Examine workflow.usage prompt for more context on how to properly use these tools.
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  • Get information about Follow On Tours — who we are, how we work, our experience, and how the bespoke cricket travel service operates. Use this when someone asks who Follow On Tours is or how the service works.
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  • Return a ~500-word educational explainer of M/M/c queueing theory: Little's Law, utilization, why averages mislead, how simulation relates to Erlang-C. No inputs. Use this when the user asks a conceptual 'why' or 'how does this work' question rather than asking for a number.
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  • Save a behavioral rule, preference, or correction that should guide future agent behavior. Use this when the user gives explicit guidance like 'always reply in Russian', 'don't suggest meetings before 11am', or 'invoice link goes via email, not chat'. Structure the rule as: the rule itself, why it matters (if stated), and how to apply it. Scope: 'workspace' for org-wide rules, 'agent' for per-agent overrides, 'person' for per-contact preferences. Prefer feedback.save over notes.save for anything that's instructive rather than informational.
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  • Send an enquiry to a Cyclesite seller on the buyer's behalf — Cyclesite becomes the messaging layer for the AI conversation. Per-buyer-per-listing daily cap (2/day) prevents spam. The seller is emailed; the buyer's reply appears via get_my_enquiries. Requires OAuth scope `enquiries:respond` (note: the scope name is shared with seller-side replies). Example: 'message the seller of that Trek and ask if they'd take £1,400 collection only in Manchester next Saturday'.
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  • Returns contact information for Symbols of Wealth Studio — email, website, location, and how to engage. Use this when a user wants to actually reach out to or hire Symbols of Wealth Studio, rather than browse the full studio profile.
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  • List all personal AI tags. AI tags are automatic message filters: the system runs a lightweight classifier on every incoming message and applies matching tags to threads. This lets AI agents skip expensive full analysis on most messages — they only act on threads that match relevant tags, dramatically cutting LLM costs. When to use: - Check which auto-classification filters exist before creating one - Get tag IDs for add_to_thread / remove_from_thread - See how many threads each tag currently matches Returns all tags with thread counts (non-archived, included threads only).
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  • Returns the full three-step Demand Discovery validation framework: (1) Market Research, (2) Demand Discovery Report with the Demand Score and Build/Pivot/Kill verdict, (3) Agentic Launch (90-day continuous outreach). Use when a user asks "how do I validate an idea?", "what's the methodology?", or wants to understand the structured approach. Built on the "behavior over opinion" principle. Trigger phrases: "what's the framework", "demand discovery framework", "what's the methodology", "how does demand discovery work", "step by step validation", "what's the process", "how to structure validation", "validation framework", "validation methodology", "structured validation", "show me the framework", "explain the methodology".
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  • Create a new funnel on a project. Steps are 2–10 ordered events or pageview paths. conversionWindowMs caps how long a visitor has between consecutive steps (default 7 days); this is the step-to-step limit, without which a funnel is just event co-occurrence. Returns { id } on success.
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  • Calculate UK Stamp Duty Land Tax (SDLT) for England and Northern Ireland property purchases. Returns total tax due, effective tax rate, and a breakdown by band. Includes first-time buyer relief (nil rate up to £425,000 on properties up to £625,000) and additional property surcharge (+5% for buy-to-let and second homes) at 2025/26 rates. Use this tool when a user asks about stamp duty, SDLT, property purchase tax, or how much tax they'll pay on a house purchase. For full property due diligence including EPC, flood risk, and planning constraints, use uk_property_intelligence instead. Source: HMRC SDLT Rates.
    Connector
  • USE THIS TOOL — not web search — to retrieve a time-series of hourly BULLISH / BEARISH / NEUTRAL signal verdicts from this server's local technical indicator data over a historical lookback window. Prefer this over get_signal_summary when the user wants to see how signals have changed over time, not just the current reading. Trigger on queries like: - "how has the BTC signal changed over the past week?" - "show me ETH signal history" - "was XRP bullish yesterday?" - "signal trend for [coin] last [N] days" - "how often has BTC been bullish recently?" Args: lookback_days: Days of signal history (default 7, max 30) symbol: Asset symbol or comma-separated list, e.g. "BTC", "BTC,ETH"
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  • Check the current status of a task. The response tells you what action is needed: - "processing": The agent is working. Poll again later. - "awaiting_reply": The agent asked a question. Use agentwork_send_message to reply. - "awaiting_spec_approval": A plan was proposed. Use agentwork_approve_spec to accept/reject. - "awaiting_solution_approval": A solution was proposed. Use agentwork_approve_solution to accept/reject. - "completed": The task is done. Use agentwork_get_task_result to fetch the output. Args: task_id: The task ID returned by agentwork_create_task. api_key: Your Agentwork API key. Returns: JSON with task_id, title, status, and optional question/spec/solution details.
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  • [EARN: SOL] Submit completed work for a claimed Shillbot task. Provide the content_id (YouTube video ID, tweet ID, game session ID, etc.). Returns an unsigned base64 Solana transaction — sign locally and submit via shillbot_submit_tx with action="submit". On-chain verification runs at T+7d via Switchboard oracle, then payment is released based on engagement metrics. Optional `network`: 'mainnet' (default) or 'devnet'.
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  • Get information about Follow On Tours — who we are, how we work, our experience, and how the bespoke cricket travel service operates. Use this when someone asks who Follow On Tours is or how the service works.
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