"Understanding Terminal Applications and Uses" matching MCP tools:

• wsdot_get_ferry_schedule

  wsdot-mcp-server

  Returns departure times for a specific WSF ferry route on a given date. Requires numeric terminal IDs — use wsdot_get_ferry_terminals to resolve terminal names to IDs. Set remainingOnly to true to show only future departures for today (useful for "next ferry" queries). For future dates, all sailings for that day are returned.

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• search_open_grants

  foundation-discovery

  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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• dcf-valuation

  The Stall

  5-year Discounted Cash Flow model for any US public company. Fetches free cash flow history, consensus EPS growth, and WACC (CAPM), then projects 5 years of FCF, adds a Gordon Growth terminal value, subtracts net debt, and divides by diluted shares to produce intrinsic value per share vs current price. Returns margin of safety, upside/downside %, and full DCF schedule. No API key required.

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• resolve_kb_id

  fixflow

  FIRST STEP in any troubleshooting workflow. Search the collective Knowledge Base (KB) for solutions to technical errors, bugs, or architectural patterns. Uses full-text search across titles, content, tags, and categories. Results are ranked by relevance and success rate. WHEN TO USE: - ALWAYS call this first when encountering any error message, bug, or exception. - Call this when designing a feature to check for established community patterns. INPUT: - `query`: A specific error message, stack trace fragment, library name, or architectural concept. - `category`: (Optional) Filter by category (e.g., 'devops', 'terminal', 'supabase'). OUTPUT: - Returns a list of matching KB cards with their `kb_id`, titles, and success metrics. - If a matching card is found, you MUST immediately call `read_kb_doc` using the `kb_id` to get the full solution.

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• predict_moment_quality

  Trillboards DOOH Advertising

  Predict the VAS (Viewability Attention Score) a specific creative would achieve at a given moment, based on historical data and causal modeling. Uses the CausalPredictionService which: 1. Embeds the moment description to find historically similar moments 2. If >= 5 similar moments exist with the same creative, uses weighted-average prediction 3. If insufficient data, falls back to Gemini generative prediction 4. Always decomposes the prediction into causal factors WHEN TO USE: - Evaluating whether a creative will perform well in a specific context - A/B testing creative placement hypotheses before committing budget - Understanding which causal factors drive VAS for a creative - Comparing expected performance across different moment types RETURNS: - prediction: { predictedVAS (0-1), confidence (0-1), method ('historical'|'model'), sampleSize } - causal_factors: { audienceMatch, contextMatch, attentionState, socialPotential } (each 0-1) - metadata: { creative_id, moment_description } - suggested_next_queries: Follow-up queries EXAMPLE: User: "How would a coffee ad perform at a transit station during morning rush?" predict_moment_quality({ moment_description: "transit venue, morning commute, 12 viewers, high attention, mostly 25-34 age range", creative_id: "coffee-brand-morning-30s" })

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• axint.schema.compile

  Axint

  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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• vector_quantize

  IA-QA — 130+ QA & Dev Tools for AI Agents

  Simulate int8 or int4 quantization of float32 embedding vectors. Reduces storage by 4x (int8) or 8x (int4). Returns quantized values, scale factor, and precision loss (MSE). Useful for understanding vector DB compression trade-offs.

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• submit_workflow

  Botverse

  Submit a multi-step workflow to the Botverse workflow engine. Steps execute in dependency order; parallel branches (multiple steps with the same depends_on) run simultaneously. Returns a workflow_id immediately — poll get_workflow_status every 5–10 seconds until terminal. Requires auto-refill to be enabled at botverse.cloud/dashboard/billing to prevent mid-workflow balance failures. Workflow definition uses BWDL (Botverse Workflow Definition Language) — schema at botverse.cloud/schemas/workflow/v1.json.

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• abort_run

  mcp-coreclaw

  Abort an in-progress CoreClaw scraper run. WHEN TO USE: the user wants to stop, cancel, kill, or abort a running scraper — "停掉这个 run"、"cancel the job"、"abort run X"、"it's taking too long, stop it". WHEN NOT TO USE: do NOT call on already-finished runs (status=3 or 4) — nothing to abort. Do NOT use to pause (CoreClaw has no pause/resume — abort is terminal). RETURNS: JSON with 'run_slug', 'status' (will transition to 5=Aborting, then 4=Failed). WORKFLOW: preceded by get_run_status or list_runs (to confirm run is still active, status=1 or 2). Terminal call.

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• check_payout

  Omniology

  Check judging status and payout for a submitted entry. Poll after judging_completes_at from the contest. When won=true, payout_tx is your USDC payment transaction signature. The status field tells you when to stop polling: submitted | judging | judged | paid | below_floor — stop on 'paid' or 'below_floor' (terminal); poll the rest with backoff.

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• check_payout

  Omniology

  Check judging status and payout for a submitted entry. Poll after judging_completes_at from the contest. When won=true, payout_tx is your USDC payment transaction signature. The status field tells you when to stop polling: submitted | judging | judged | paid | below_floor — stop on 'paid' or 'below_floor' (terminal); poll the rest with backoff.

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• get_knowledge_stats

  mcp-klever-vm

  Get summary statistics of the Klever VM knowledge base. Returns total entry count, counts broken down by context type (code_example, best_practice, security_tip, etc.), and a sample entry title for each type. Useful for understanding what knowledge is available before querying.

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• resolve_flight

  booking

  Resolve a flight number to its airports, terminals, scheduled times, and status. Use BEFORE book_ride whenever the customer provides a flight number so that pickup time and terminal are correct. Input is tolerant: accepts 'AF007', 'AF 007', 'AF-007', 'af7', 'AFR007' — the tool normalizes internally. Returns an array of matching operations (usually 1 when direction is set).

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• browser_take_screenshot

  DialogBrain

  Capture a PNG screenshot of the page or a specific element. Returns base64-encoded image bytes AND a file_id (persisted in DialogBrain files storage). Pass file_id straight to messages.send(attachment_file_ids=[file_id]) — do NOT call files.upload again. Use sparingly — favor browser.snapshot for structured DOM understanding.

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• get_listing_applications

  Human Pages

  View applications for your listing. Returns each applicant's profile (name, skills, equipment, location, reputation, jobs completed) and their pitch message. Use this to evaluate candidates, then hire with make_listing_offer. Only the listing creator can view applications.

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• get_run_status

  Hydrata - ANUGA Flood Simulation

  Lightweight status check for a simulation run (fast, <50ms). Use this for polling instead of get_run. Returns only: id, status, progress_pct (0-100), eta_seconds, error_message, and compute_backend. Poll every 5-10 seconds. Terminal states: complete, error, cancelled.

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• lookup_zoning

  Buildability™ — Property Zoning & Buildability™ Intelligence

  Look up the zoning designation and development standards for any U.S. property address. USE WHEN: user asks 'what zone is this', 'what's the zoning', 'what can I build on this lot', 'is this residential or commercial', 'can I build a duplex here', or any question about permitted uses. RETURNS: zone code (e.g., R-1, C-2, MU-3), zone description, permitted uses list, conditional uses, overlay districts, max FAR, max height, setbacks (front/side/rear), lot coverage, and parking requirements.

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• cancel

  discovery

  <tool_description> Cancel a media buy campaign. This is a terminal state — cannot be reactivated. </tool_description> <when_to_use> When an advertiser wants to permanently stop a campaign. Cannot be undone. Use pause for temporary stops. </when_to_use> <combination_hints> cancel is terminal. For temporary suspension use pause instead. Remaining budget is released. </combination_hints> <output_format> Updated media buy with cancelled status. </output_format>

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• tf_harnesses

  terminalfeed

  Returns a snapshot of public agentic-coding benchmark scores across SWE-bench Verified, Terminal-Bench, Aider Polyglot, and METR HCAST. Each row pairs a harness with a model. Same model can score very differently on different harnesses; that gap is the value-add. Pass ?view=summary for top 10 combined leaderboard plus biggest harness gaps; ?view=gaps for full per-model harness deltas; ?view=combined for normalized cross-benchmark ranking; ?view=raw (default) for the full benchmark/result graph. Source: hand-curated from upstream leaderboards (swebench.com, terminal-bench.org, aider.chat, metr.org). Cache TTL 12h. Use when the agent needs to recommend a harness/model combo or explain why two agents using the same model perform differently.

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• planning_search

  UK Property Intelligence

  Find the planning portal URL for a UK postcode. Returns the council name, planning system type, and a direct URL to open in a browser. Does NOT return planning application data — scraping is blocked by council portals. Use the returned search_urls.direct_search link to browse applications manually.

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