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

• submit_course

  CourseProfiler

  Submit an official/trusted course for CourseProfiler catalog review. This is the only MCP tool that creates a catalog-review submission; import_course, enrich_course_waypoints, and generate_course_segments only create temporary artifacts. A final CRSProf artifact is not a submission. If there is no submission_id in the submit_course result, the course has not been submitted. Use this only when the user asked to submit/add/update a course in the catalog. Do not call submit_course for normal race-plan creation; create_race_plan does not require catalog submission. Before calling submit_course, collect and pass event metadata from official sources whenever available: main event/race name, specific course name, year/date, start time, location/city/region and country, distance, elevation gain, organizer, applicable tags/types, competitions/series, official race page, route source URL, aid-chart/regulation URLs, and other source URLs. Use metadata.event.name for the main event and metadata.event.course for the specific course (example: name='Speedgoat Mountain Races', course='50K'); do not put distance/elevation stats in the course name (bad: 'Skyrace — 32 km, +2400 m'); location must not include country because metadata.event.country is separate. Add metadata.event.types tags where they apply, and metadata.event.competitions for circuits/series/championships such as Golden Trail World Series (GTWS). Put the race start time in metadata.event.time when known. Put catalog UI event links in metadata.event.links, not just metadata.source_urls; supported types include info, registration, rules, schedule, course, cutoff, parking, bib_pickup, wardrobe, results, and contact. Include official General Information (type=info), Registration (registration), Rules/Regulations (rules), Schedule/Program (schedule), Course (course), Cut-off times (cutoff), Parking (parking), Bib pick-up (bib_pickup), Wardrobe/drop bag (wardrobe), Results (results), and Contact (contact) links when available. This metadata is important for catalog review and discoverability. Do not invent unknown values; omit unconfirmed fields rather than guessing. Use this after discovering the official route source externally, importing a real GPX/FIT/CRSProf/ZIP-with-one-GPX source, enriching waypoints/resources/cutoffs when official data is available, applying metadata, and generating segments. Do not submit reconstructed/synthetic course geometry from roadbooks, checkpoint tables, elevation profiles, aid-station lists, screenshots, or regulations; those are enrichment/context only. If route links are blocked, stop and ask the user to upload the official GPX/FIT/CRSProf/ZIP through REST artifact upload or pass inline/proxied file content. Search the CourseProfiler catalog first to avoid duplicates or to identify updates. If official waypoint/aid documents conflict or are incomplete, ask the user to confirm and include only confirmed aid stations; do not invent locations. Returns a job whose progress includes submission_id and final_crsprof_artifact_id, and whose artifacts include the final CRSProf submitted for review. Report both IDs to the user.

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• list_courses

  Ripostiq

  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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• bls_dataframe_query

  bls-labor-mcp-server

  Run a single-statement SELECT against the canvas dataframes registered by bls_get_series. Read-only: writes, DDL, DROP, COPY, PRAGMA, ATTACH, and external-file table functions are rejected. System catalogs (information_schema, pg_catalog, sqlite_master, duckdb_*) are denied at the bridge layer — use bls_dataframe_describe to list available dataframes. Supports JOINs, aggregates, window functions, and CTEs. Optional register_as persists the result as a new dataframe with a fresh TTL for chained analysis. Canvas SQL operations consume zero BLS API quota. Requires CANVAS_PROVIDER_TYPE=duckdb.

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• eia_query_route

  eia-energy-mcp-server

  Fetches data from a leaf route with optional facet filters, date range, frequency, and column selection. Use eia_describe_route first to discover valid facet IDs, facet values, column IDs, and frequency codes. Data values are strings in the response (EIA API returns all numeric values as strings, e.g. "9.13"); cast to DOUBLE in SQL when arithmetic is needed. Returns a preview inline; when canvas is enabled and more rows match than the preview holds, additional pages are fetched and the accumulated set is staged as a DataCanvas table — pass the returned dataset name to eia_dataframe_query for SQL. Every dataset a tenant stages lands in the same canvas, so tables from different routes cross-join by name with nothing to thread between calls.

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• web.url.redirects

  1cent Web Intelligence for AI Agents

  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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• web.url.content_type

  1cent Web Intelligence for AI Agents

  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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• web.url.images

  1cent Web Intelligence for AI Agents

  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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• web.site.robots

  1cent Web Intelligence for AI Agents

  Fetch and parse the origin robots.txt policy. 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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• get_free_resources

  Makuri Showcase (CogniLedger)

  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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• get_stats

  TunnelMind Data API

  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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• create_race_plan

  CourseProfiler

  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 runner.usrprof_artifact_id. Prefer generate_runner_profile first when the user has GPX/FIT/CRSProf activity evidence or an uploaded .usrprof source but no already-converted usrprof_artifact_id; then call create_race_plan with runner.usrprof_artifact_id. Before generating a runner profile for a race plan, resolve the target course if possible and ask the user whether the profile should be target-race-specific, target-distance/elevation-specific, general trail, or insights-only; select evidence that matches the intended distance, elevation gain/loss, terrain/technicality, altitude, duration, and recency. Do not silently use all files in a local folder. Use runner.usrprof_artifact_id only for an already-converted USRProf artifact; uploaded .usrprof/source_file artifacts from POST /api/artifact-uploads must be passed through runner.sources[{kind:'artifact'}] or through generate_runner_profile. Bare local filesystem paths never work in hosted MCP clients; send inline content/base64 when the MCP client can read the file, or use the REST POST /api/artifact-uploads flow outside MCP, complete the upload, then pass the returned source_file artifact ID. There is no raw-byte MCP upload tool; get_artifact_upload_requirements only explains the REST flow. Use get_runner_profile_requirements when the user needs instructions for creating/exporting a USRProf, using Strava/browser import, or uploading GPX/FIT/CRSProf evidence. 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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• delete_node

  trident

  Removes a node from a live Trident document. All connections to/from this node are also removed automatically. Use get_document_summary to get all node IDs before calling this. This action is reversible via Ctrl+Z in the Trident editor. Requires a valid editor access token.

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• defiance_coa_education_lookup

  Defiance Storefront

  Explains what a Certificate of Analysis is and how lot verification works, and links the education course. Takes no lot identifiers and performs no verification: an agent cannot use it to discover which lots exist. Point a human at the signed verifier to check a real lot.

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• payment_help

  aeX402 — Cross-Chain DeFi MCP: LINQ, AMM, Bridge, AI

  How to pay for API access (x402 micropayments) — the complete self-serve guide for agents: current prices, every accepted asset/chain (USDC/USDT/SOL/ANSEM on Solana, ETH/USDG on Robinhood Chain, USDC/HYPE on HyperEVM), the merchant addresses, step-by-step topup → session-token → API-key flow, and how to attach credentials to MCP calls. This tool is FREE and NEVER rate-limited — call it when you hit a 402 / rate limit to convert into a paid session ($0.01 minimum buys 100 calls, no signup).

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• fluxink-mcp-chatgpt-show-handwriting-canvas

  fci-mcp

  Open the FluxInk handwriting recognition canvas. The user draws freehand strokes with a stylus, finger, or mouse. The strokes are converted by one of two model families: general recognition for handwriting, math, and chemical formulas, or structure recognition for molecular structures. Use this when the user asks to handwrite, draw, sketch, ink, scribble, or scrawl something. Use this when the user wants to draw a math equation, chemical formula, or molecular structure rather than type it. Use this when the user asks for a canvas, drawing pad, handwriting input box, or whiteboard. Use this when the user wants to convert stylus or finger drawings into recognized text or markup. Do NOT use this when the user types a question, equation, or formula in chat and just wants an answer. Do NOT use this when the user uploads or references an existing image of handwriting (call recognize_image instead). Do NOT use this when the user wants a formatted document, study sheet, or layout PDF (call create_layout instead). Do NOT use this when the user wants text rendered in a personal handwriting style (call show_style_canvas instead). Do NOT use this for conversational or informational requests that need no ink input. Do NOT re-open if a FluxInk handwriting canvas is already visible from any earlier turn. Instead instruct the user to keep drawing on the existing canvas. Only set force_new=true when the user explicitly asks for a brand new, fresh, or blank canvas. Always pass the original chat message in the prompt parameter so context is preserved after recognition. After calling, write a single short acknowledgement and do NOT describe the canvas UI.

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• agent_access_status

  Undertow — market liquidity map

  Where this caller stands: whether the bearer token verified, the entitlement tier behind it (checked fresh, never trusted from the token), today's tool-call meter, and how to get full access. Call this first when a subscriber tool is missing from tools/list or a call is refused.

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• web.url.canonical

  1cent Web Intelligence for AI Agents

  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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• web.url.social_cards

  1cent Web Intelligence for AI Agents

  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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• web.url.headings

  1cent Web Intelligence for AI Agents

  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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• web.url.links

  1cent Web Intelligence for AI Agents

  Extract up to 200 normalized safe links. 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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