CourseProfiler

Instalación

Elige la app de IA que usas y copia la configuración.

Pasó 2/3 revisiones · Lo que preguntas pasa por el servidor del autor (courseprofiler.com)

Qué apps pueden usarlo

Según cómo se conecta este servidor y la documentación de cada app, comprobado el 10 nov 2026.

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ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast

Todas las apps, con ventajas y desventajas →

Qué puede hacer

Nombres y descripciones de las herramientas tal como los informó el servidor el 10 nov 2026. Los escribió el creador, no nosotros; los mostramos como texto sin formato.

• create_race_plan

  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

• search_race_catalog

  Search CourseProfiler's race catalog by race/course name and return direct CRSProf URLs that can be used as course sources.

• import_course

  Import a fetchable official GPX/FIT/CRSProf URL, official ZIP containing exactly one GPX, uploaded source_file artifact, raw JSON payload, or inline/proxied course_file into a CRSProf artifact. Third-party route hosts such as Wikiloc may return 403 to server fetches; when a URL i

• enrich_course_waypoints

  Add structured aid stations, checkpoints, cutoffs, and canonical resources to a CRSProf artifact that lacks them. Before enriching, inspect whether the imported source already contains GPX/CRSProf waypoints; if it already contains GPX/CRSProf waypoints, avoid duplicate Start/Fini

• generate_course_segments

  Generate analytical course segments from an enriched CRSProf artifact after waypoint enrichment, or from a catalog CRSProf that already contains official waypoints/resources/cutoffs; then use the resulting artifact in create_race_plan for race planning, or call submit_course if a

• generate_runner_profile

  Generate a segment-evidence USRProf runner profile artifact from uploaded runner evidence or an existing .usrprof source. Confirm profile purpose and evidence selection only if not already explicit. Do not silently use every local file. profile_intent is advisory: the server does

• submit_course

  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 submiss

• get_course_submission_requirements

  Use this before submit_course when the user gives only a race name or incomplete inputs. Returns the catalog-first course submission workflow, accepted route sources, metadata, waypoint enrichment, and upload requirements.

• get_race_plan_requirements

  Use this before create_race_plan when the user gives only a race name or incomplete inputs. Returns the required course and runner inputs and the next steps an assistant should take, including catalog matches when available.

• get_runner_profile_requirements

  Use this when runner input is missing or unclear. Explains how to obtain or generate runner input, what USRProf/evidence files should contain, whether GPX/FIT activities are enough, and how hosted MCP clients should upload artifacts.

• get_artifact_upload_requirements

  Use this when an assistant needs instructions for CourseProfiler's REST artifact upload flow or needs to explain why hosted MCP cannot upload bare local paths. This is an instruction helper, not a raw-byte MCP upload tool.

• get_job

  Poll a CourseProfiler async job by job_id.

• get_artifact

  Fetch artifact metadata and a private short-lived download URL by artifact_id. Artifact download URLs are private and short-lived; share them only with the user, verbatim in a code block, not a clickable link. Ask the user to copy the entire URL into their browser address bar. Do

• validate_course_profile

  Validate a CRSProf artifact or inline CRSProf JSON before race planning or catalog submission. This does not mutate artifacts or submit courses.

• validate_runner_profile

  Validate a USRProf artifact or inline USRProf JSON before creating personalized race plans. This does not mutate artifacts or generate a new profile.

• export_race_plan_pdf

  Export a Hi-Fi PDF or standalone checkpoint card from an existing CRSProf artifact. The CRSProf supplies the course/profile/plan data; options are presentation-only overrides such as title, subtitle, metric/imperial unit system, format, and file name. Omit unit_system unless the

• build_runner_profile_from_strava

  Build a USRProf from Strava activities selected for a target course or distance. Ask the user for the target course or distance and, when an existing profile is supplied, explicitly ask whether to merge or replace. Strava credentials are never accepted through MCP: this tool retu

• analyze_activity

  Analyze supplied GPX/FIT directly with the browser's canonical pipeline; no catalog search or runner profile is needed. Accept inline course_file, URL, or artifact source. Existing CRSProf is preserved and summarized. Returns job plus a bounded structured summary, units, missing-

• inspect_analysis

  Read an existing v3 CRSProf artifact without reanalysis or downloading source points. Query segments, splits, climbs, stops, range, or quality. Pages default to 20 rows (maximum 100); follow next_offset and total_matches. Distances are metres and times seconds. Climbs group exist

• compare_execution

  Compare plan and execution v3 CRSProf artifacts with the full browser canonical comparison pipeline. Association defaults to 60 metres; override stop_association_distance_m only when requested. This does not redetect stops: use analyze_activity on original GPX/FIT to change detec

• inspect_runner_profile

  Read an existing USRProf or uploaded USRProf source artifact without reconstruction, scope replacement or model activation. For chat attachments without artifact IDs, first use import_profile_attachment with explicit upload permission if host file handoff is available; otherwise

• assess_finish_time_goal

  Assess a positive elapsed goal including saved dwell using the existing nine intensity/shape combinations (5% shapes). Preserve reference-plan movement locks, stops, checkpoint windows, cutoffs and saved GAP settings. Requires current v3 course and runner artifact IDs. Defaults t

• compare_pacing_strategies

  Compare all nine existing intensity/shape combinations without an elapsed goal. split_percent defaults to 5, inclusive range 0-15. Preserve reference-plan locks, dwell, checkpoint windows, cutoffs and saved GAP settings. Requires current v3 course and runner artifact IDs. Default

• import_profile_attachment

  Store an attached USRProf or CRSProf unchanged as a private source_file artifact (maximum 25 MiB). Prefer this for ChatGPT attachments when file handoff is available; do not ask the user to copy artifact IDs. Obtain explicit permission to send the selected file to CourseProfiler

• get_storage_readiness

  Read-only non-secret storage diagnostic. Default checks configuration only. check_bucket=true performs HeadBucket; never writes test objects. Bucket access does not verify job/artifact reads or writes.

• get_activity_submission

  Read-only lookup of an opt-in analyze_activity submission using the same caller/key. No URL fetches, writes or reanalysis. outcome_unknown is not absence and never authorizes a fresh execution. Requires durable idempotency enabled; private caller_token required for anonymous call

Revisiones básicasi

Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 13 nov 2026

• ! Precaución

  El creador coincide con el repo

  El registro no indica ningún repo de código fuente, así que no podemos relacionar a quien lo publicó (courseprofiler.com) con el código

• … Aún sin revisar

  Sigue en mantenimiento

  Todavía no hemos leído este repo en GitHub

• … Aún sin revisar

  Tiene licencia

  Todavía no hemos leído este repo en GitHub

• ✓ Superada

  El endpoint responde

  Respondió en 384 ms (HTTP 200)

• – No aplica

  Inicio de sesión con OAuth

  No hace falta iniciar sesión

• ✓ Superada

  Sin instrucciones ocultas en las descripciones de herramientas

  Leímos 26 descripciones de herramientas y no encontramos instrucciones ocultas para la IA

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Comparado con otros en Búsqueda y memoria de IAi

• Más estrellas que el 0% de los otros 6042 servidores de esta categoría
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• Revisiones básicas iguales o mejores que el 49% de los otros 6042 servidores de esta categoría

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