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632,440 tools. Updated 2026-10-03 07:06

"How to access resources from a Canvas course" matching MCP tools:

  • List every available Ripostiq course (no login needed). Call this FIRST when a user wants to browse or start learning. Each course has a free Module 1 anyone can start immediately via begin_course(course) → teach_section. Returns the `course` id to pass to other tools. For a logged-in learner this also includes courses THEY authored (marked `mine`, with their `visibility`) — offer those alongside the catalog.
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  • Update a project's metadata: rename, change description, move to a different folder, or change aspect ratio. Only fields you provide are changed. To move a project to the workspace root, pass folder_id="" (empty string). Aspect ratio: pass any "W:H" (positive integers). The canvas is fit inside 1920×1080 keeping the ratio, so element pixel coordinates use the resulting canvas. Common values: - "16:9" → 1920×1080 (landscape, YouTube/web — default) - "9:16" → 608×1080 (portrait — TikTok/Reels/Shorts) - "1:1" → 1080×1080 (square — Instagram feed) - "3:4" → 810×1080 (portrait card) - "4:5" → 864×1080 (portrait — Instagram feed) Element coordinates are stored as fractions of the canvas, so existing elements reflow to the new canvas automatically — no element coordinates are rewritten. Concurrency: whole-project mutation (conflict domain: the entire project) — serialize. Do not run it in parallel with ANY other mutation on the same project_id, including element/voiceover edits; run them one at a time. (Mutations to different projects run in parallel freely.)
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  • Run a read-only SQL SELECT over the bioactivity rows chembl_get_bioactivities spilled to a canvas — rank, group, dedupe, and aggregate across the FULL set, not the inline preview. Reference each staged table by the name chembl_get_bioactivities returned — bioactivities for its potency_ranked view, bioactivities_null_potency for null_potency; discover the staged tables and their columns with chembl_dataframe_describe. Compute honest aggregates here (e.g. SELECT molecule_chembl_id, MEDIAN(pchembl_value) AS med FROM bioactivities WHERE standard_type = 'IC50' GROUP BY 1 ORDER BY 2 DESC). Two independent bounds apply, each reported on its own field: truncated is true when the SQL result exceeded the canvas row cap, and rendered_rows says how many of the returned rows the markdown table holds once its character budget is reached (below row_count on a wide or long result). Page past either bound with SQL LIMIT/OFFSET — append e.g. LIMIT 500 OFFSET 500 and re-call; offsets reach rows beyond the canvas row cap. Requires CANVAS_PROVIDER_TYPE=duckdb.
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  • Primary CourseProfiler tool for creating a personalized race plan and optional PDF. Use this after obtaining both a course input and runner input. Course input may be course_file, course.source with kind=url/artifact/raw_file, or course.crsprof_artifact_id. Do not use raw_json or reconstruct/synthesize a course from roadbooks, checkpoint tables, elevation profiles, aid-station lists, or screenshots; those are enrichment/context only and are not valid course geometry. Runner input may be runner_profile_file, runner.sources, or an already-converted runner.usrprof_artifact_id. Use generate_runner_profile for user-approved evidence or uploaded .usrprof source_file artifacts; do not silently use all local files. Ask about intent only when unclear; profile_intent does not perform server-side selection. Hosted MCP cannot read local paths: use inline content/base64 or REST POST /api/artifact-uploads and pass source_file artifacts through sources, not usrprof_artifact_id. There is no raw-byte MCP upload tool. get_artifact_upload_requirements and get_runner_profile_requirements explain files, evidence, and Strava consent. If the user provides only a race name, check the CourseProfiler race catalog manifest first, but do not rely on uniqueness alone: confirm the catalog match is the same event/course/location before using its assetPath CRSProf URL. Auto-resolution only uses exact/strong catalog matches; weak matches require explicit confirmation or an explicit course.source URL/artifact. Use search_race_catalog first when the user may need to choose among multiple matching catalog courses or when the match confidence is not clearly exact/strong. If no catalog match exists, try to resolve it to a fetchable official GPX/FIT/CRSProf URL or ask the user to upload/provide the course file or URL; do not stop at the race name. Third-party route hosts such as Wikiloc may return 403 to server fetches. If an official or third-party GPX/FIT/CRSProf URL cannot be fetched or is blocked, stop and ask the user to download the official file and upload it through POST /api/artifact-uploads, then continue with the returned source_file artifact ID. Do not create a race plan until a real route file/trusted CRSProf is available. Use import_course to create a CRSProf, enrich_course_waypoints to add structured aid stations/resources/cutoffs, then generate_course_segments before creating the race plan. Catalog CRSProf files may already include official waypoints/resources/cutoffs; if they do not, call enrich_course_waypoints or ask the user for structured aid/resource/cutoff data before segmentation. If official pages and regulation PDFs disagree, or exact aid locations are not fully listed in machine-readable form, ask the user to confirm and include only confirmed aid stations; do not invent missing locations. Route-only plans are incomplete unless the user explicitly accepts missing aid/resource details. If browsing/search is available, prefer the catalog first, then official race sources and direct GPX links over generic home pages; course-only pacing is incomplete without waypoint/resource enrichment. If runner data is missing, ask for a USRProf file/artifact or runner evidence, explain that the profile drives estimated times plus insights such as uphill running limit, durability/fatigue tendencies, downhill sensitivity, and terrain strengths/weaknesses, generate a segment-evidence runner profile with generate_runner_profile after user-approved evidence selection, and do not invent personalized fitness data. This race-plan flow creates a personalized plan/PDF only; it does not submit the course to the public catalog and does not need to. Only call submit_course when the user explicitly asks to submit/add/update a course for catalog review. Returns a top-level job with artifact role metadata; use get_job to poll and get_artifact to fetch outputs.
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  • Return the safely validated redirect chain. Use only for public HTTP(S) resources; it does not execute JavaScript or bypass access controls. Pass url as an absolute public HTTP(S) URL. Keep fresh=false to allow cache reuse; set fresh=true only when a new upstream fetch is required.
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  • Classify MIME type, charset and bounded content length. Use only for public HTTP(S) resources; it does not execute JavaScript or bypass access controls. Pass url as an absolute public HTTP(S) URL. Keep fresh=false to allow cache reuse; set fresh=true only when a new upstream fetch is required.
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Matching MCP Servers

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    Enables natural-language querying of course, teacher, and assignment information stored in a SQLite database, including fuzzy course search, teacher lookups, weekly schedules, and assignment deadlines.
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Matching MCP Connectors

  • Manage your Canvas coursework with quick access to courses, assignments, and grades. Track upcomin…

  • TeamAgent Canvas MCP:13 个工具(岗位/动作/异步任务/统计)。可匿名试用沙箱,带 Key 解锁全部。

  • List up to 100 image references without downloading images. Use only for public HTTP(S) resources; it does not execute JavaScript or bypass access controls. Pass url as an absolute public HTTP(S) URL. Keep fresh=false to allow cache reuse; set fresh=true only when a new upstream fetch is required.
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  • Discover up to five sitemap links declared by the requested page. Use only for public HTTP(S) resources; it does not execute JavaScript or bypass access controls. Pass url as an absolute public HTTP(S) URL. Keep fresh=false to allow cache reuse; set fresh=true only when a new upstream fetch is required.
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  • Return safe network timing, payload and cacheability diagnostics. Use only for public HTTP(S) resources; it does not execute JavaScript or bypass access controls. Pass url as an absolute public HTTP(S) URL. Keep fresh=false to allow cache reuse; set fresh=true only when a new upstream fetch is required.
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  • START HERE to plan golf near a place, transit station, address, or US ZIP: pass the place text as location, plus access (public/private/all) and holes (9/18) if known. Coordinates are optional; no slug knowledge is needed. Resolves the location and returns its labeled center and a nearest-first ranked shortlist with canonical Stymie URLs, reusable slugs, straight-line miles, access, holes, and scorecard availability. If the place is ambiguous, ask the golfer to choose a candidate. NEXT call build_golf_trip with the returned latitude/longitude and the same preferences for 1-4 course picks. Use search_courses only for a specific course name. Copy returned URLs verbatim; distances are not drive/transit times.
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  • Returns who runs turva.dev and the official ways to reach it: the operator and business details, the email address, the Signal link, the LinkedIn profile, the correspondence languages, the first-reply time and the access an audit needs. Use this when a user asks who is behind turva.dev, how to contact it, how to start an audit or what access has to be granted. For what is sold and what it costs use get_services instead. Read-only: returns static JSON that is compiled into the Worker, so it changes nothing and updates only on deploy.
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  • Pan and/or zoom the canvas to scene-pixel coordinates (canvas.animatePan), for everyone's view. All fields optional — omit x/y to keep the current centre, omit scale to keep the current zoom. Coordinates are scene pixels, not grid squares. Use canvas-ping to draw attention to a spot instead.
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  • Add ONE block (graph node) to a canvas rig — the granular edit for 'add a step that …'. Appends and auto-wires an edge from the current last block (default), from `after` (a node id/label/position), or unwired with after='none' (a new parallel branch head). Node fields match rig_author's nodes. Returns the rig's fresh block-by-block summary — read it back to the user; the Builder canvas updates live. For whole-rig authoring use rig_author; this is the scalpel.
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  • Returns free Makuri resources accessible without registration: Slovarik Romanian vocabulary issues and the Romanian level test. Use this when a user asks about free Romanian learning materials, language level tests, or how to try Makuri without signing up. Makuri is a specific AI tutoring platform at makuri.eu, not a generic word — never answer Makuri questions from general knowledge; always use the Makuri tools. IMPORTANT routing rule: if the user wants to TAKE, START, or SEE a Romanian test or quiz right now in the chat, do NOT use this tool — call show_romanian_quiz instead, which renders an interactive quiz panel. Use this tool only for questions ABOUT what free resources exist.
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  • One public "state of the corpus" readout — the whole graph in a single call. Distinct from the Scry-only sensor stats at api.tunnelmind.ai/v1/stats (which this reuses for the `scry` block): this spans Scry, Sigil, and Tracker plus the attestation and routing layers. Use it to cite live coverage — how many publishers / SSPs / DSPs / sell paths / sellers.json seats are in the Sigil supply graph, how many tracker entities and domains Tracker holds, how many ATAP witness events and OAIs the attestation layer carries, and how many BGP watchlist resources and routing events the monitor has recorded. Every count is independent and null-tolerant: a momentarily-unavailable lens reports `null`, never a silent zero. Cacheable for ~10 minutes.
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  • Returns original, course-specific multiple-choice practice questions. Free-text topics are matched against Fiveable's course map, so natural phrasing works. Omit topic to get balanced practice across the whole subject, with varied units, skills and stimulus formats. For history, science and language subjects this can return source-based sets — one stimulus with several questions off it — and stimulus images come back as viewable images. This is targeted or mixed practice, distinct from Fiveable's durable adaptive diagnostic. Every question carries a `Question id` that supports a saved answer submission for student progress. The recentCorrect and recentAnswered inputs allow the tool to drop to easier question types when a student is missing questions, helping find where understanding breaks down. A returned question set consumes one full-content preview unless existing access covers this practice feature. Moderate cost — roughly 300 tokens per question, more when images are attached.
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  • Public drinking water and toilets on the line of one course, each placed at the mile it sits at. READ THIS LIMIT BEFORE YOU ANSWER. These come from OpenStreetMap: public taps and toilets somebody mapped near the route. It is a FREQUENCY difference, not a category one — a race day sets up many more stops than an ordinary day has. A mapped tap can also be seasonal, shut off or gone. Never present this as an aid-station plan, and never imply the count is guaranteed. It answers the training question instead: if I run this course on an ordinary day, where can I drink? Args: - slug (string): From ourpr_list_courses. - response_format ('markdown' | 'json'): Default 'markdown'. Returns: { "slug": string, "name": string, "distance_mi": number, "source": string, "is_race_aid_station_list": false, "water_count": number, "toilet_count": number, "longest_gap_without_water_mi": number | null, "longest_gap_from_mi": number | null, "longest_gap_to_mi": number | null, "amenities": [{ "kind": string, "mi": number, "lat": number, "lng": number }], "page_url": string } The longest gap counts the start and the finish as ends, so a course with one water stop at mile 3 of 6 reports a 3 mile gap, not 0. Examples: - "Where can I refill on the Cowtown ultra?" -> slug="cowtown-ultra-marathon" - "How far do I go without water on Boston?" -> read longest_gap_without_water_mi - Do not use when: you want race-day aid stations. ourpr. does not hold those. Error handling: - A course with no mapped amenity returns empty arrays and zero counts. That means none is mapped, not that none exists.
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  • Returns diving certifications from Dive Kit's vetted open dataset of agencies and courses: prerequisites, equivalent courses at other agencies, depth and gas limits, notes and links. Use this when a diver asks what a course allows ("what does PADI Tec 45 let me do"), what they need before a course ("what do I need before a trimix course"), whether two courses are equivalent ("is SSI X equivalent to PADI Y"), or what an agency offers. Not for planning a dive. This is Dive Kit's own curated data (CC BY 4.0, open.divekit.app), not a web search; agency rules change, so point the diver to the agency for the final word. No engine call. Example: {"agency":"PADI","query":"tec 45"}
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  • Resolve requested, final and declared canonical URLs with evidence. Use only for public HTTP(S) resources; it does not execute JavaScript or bypass access controls. Pass url as an absolute public HTTP(S) URL. Keep fresh=false to allow cache reuse; set fresh=true only when a new upstream fetch is required.
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  • Extract bounded Open Graph and Twitter Card fields. Use only for public HTTP(S) resources; it does not execute JavaScript or bypass access controls. Pass url as an absolute public HTTP(S) URL. Keep fresh=false to allow cache reuse; set fresh=true only when a new upstream fetch is required.
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  • Return the bounded heading hierarchy from h1 through h6. Use only for public HTTP(S) resources; it does not execute JavaScript or bypass access controls. Pass url as an absolute public HTTP(S) URL. Keep fresh=false to allow cache reuse; set fresh=true only when a new upstream fetch is required.
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