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ourpr.

R0· no sign-in

Measured race courses, open to all, and your own runs, Blocks and plans once you sign in.

v1.1.0 · active · website · descriptor JSON · versions

An agent can connect right now, no human step.Remote endpoint, no authentication, reachable on the last probe.
Quality83good
Trust80of 100
Uptime, 30 days100%
Latency p50395 ms

Connect

8 clients · secrets stay placeholders
{
  "mcpServers": {
    "ourpr-courses": {
      "type": "http",
      "url": "https://ourpr.app/api/mcp"
    }
  }
}
claude mcp add --transport http ourpr-courses https://ourpr.app/api/mcp
[mcp_servers.ourpr-courses]
url = "https://ourpr.app/api/mcp"
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "ourpr-courses": {
      "type": "remote",
      "url": "https://ourpr.app/api/mcp",
      "enabled": true
    }
  }
}
{
  "mcpServers": {
    "ourpr-courses": {
      "type": "http",
      "url": "https://ourpr.app/api/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=ourpr-courses&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vb3VycHIuYXBwL2FwaS9tY3AifQ%3D%3D"
}
{
  "servers": {
    "ourpr-courses": {
      "type": "http",
      "url": "https://ourpr.app/api/mcp"
    }
  }
}
{
  "mcpServers": {
    "ourpr-courses": {
      "httpUrl": "https://ourpr.app/api/mcp"
    }
  }
}
extensions:
  "ourpr-courses":
    enabled: true
    name: "ourpr-courses"
    type: streamable_http
    uri: "https://ourpr.app/api/mcp"
    timeout: 300

Quality 83 / 100good

protocol75 · weight 25
  • warn
    protocol.modernnewest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
  • n/a
    protocol.statelessonly applies to 2026-07-28 servers
  • pass
    protocol.transportstreamable HTTP
  • n/a
    protocol.list_ttlonly applies to 2026-07-28 servers
authorizationn/a · weight 15
  • n/a
    auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
  • n/a
    auth.secret_in_urlno templated URL
tool hygiene93 · weight 30
  • pass
    tools.descriptionsevery tool has a description
  • warn
    tools.description_length5 tools have descriptions over 1,024 characters, which crowds the context
  • pass
    tools.schemasevery tool has an object input schema
  • pass
    tools.annotations18 of 18 tools declare readOnlyHint or destructiveHint
  • pass
    tools.directory_hintsevery tool declares readOnlyHint, destructiveHint, idempotentHint and openWorldHint
  • pass
    tools.token_costabout 5,944 tokens to load every tool
  • pass
    tools.api_dumptools are not a one-to-one API dump
stability75 · weight 15
  • warn
    stability.changes22 tool changes in 30 days
  • pass
    stability.rug_pullno tool changed its meaning under the same name
dependenciesn/a · weight 15
  • n/a
    deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

18 tools, about 5,944 tokens to load them all · tool set dbe9480a914a · tools last changed 2026-10-02 · checked 2026-10-20 15:26 UTC

Tool changes

  • ourpr_run_streamchangeddescription
    before

    A run's profile on a 10 m grid — elevation, heart rate, power, cadence — as min, average, max and coverage per channel, not every sample. Also each half by distance with its moving pace, heart rate and efficiency, and the drift between them (aerobic decoupling, Pa:HR). No profile is a normal answer for an indoor run.

    after · 93% of words in common

    A run's profile on a 10 m grid — elevation, heart rate, power, cadence — as min, average, max and coverage per channel, not every sample. Also each half by distance with its moving pace, heart rate and efficiency, the pace change between them, and the drift (aerobic decoupling, Pa:HR), also after the warm up. No profile is a normal answer for an indoor run.

  • ourpr_run_streamchangeddescription, output schema
    before

    A run's profile on a 10 m grid — elevation, heart rate, power, cadence — as min, average, max and coverage per channel, not every sample. No profile is a normal answer for an indoor run.

    after · 63% of words in common

    A run's profile on a 10 m grid — elevation, heart rate, power, cadence — as min, average, max and coverage per channel, not every sample. Also each half by distance with its moving pace, heart rate and efficiency, and the drift between them (aerobic decoupling, Pa:HR). No profile is a normal answer for an indoor run.

  • ourpr_get_runchangeddescription
    before

    One activity in full: mile splits, heart rate, cadence, calories, device. Id comes from ourpr_list_runs. For the profile along the route, use ourpr_run_stream.

    after · 96% of words in common

    One activity in full: mile splits with heart rate, cadence, calories, device. Id comes from ourpr_list_runs. For the profile along the route, use ourpr_run_stream.

  • ourpr_list_runschangeddescription
    before

    Training history between two dates, newest first: date, name, type, miles, pace, time, elevation, average heart rate. Start here for totals, streaks, trends, or finding a run. For one run's splits, use ourpr_get_run with an id from here.

    after · 73% of words in common

    Training history between two dates, newest first: date, local start, name, type, miles, pace, time, elevation, average heart rate, and on a runs-only list Friel's efficiency factor and the heartbeats each mile took. Start here for totals, streaks, trends, or finding a run. For one run's splits, use ourpr_get_run with an id from here.

  • ourpr_get_course_terrainchangeddescription
    before

    The elevation profile of one course, sampled, plus every climb and descent ourpr. named on it. THIS IS THE TOOL FOR "what are the hills and where". Each named section carries the street it runs on, the miles it spans, its net rise or fall and its average grade. The elevation comes from the USGS 3DEP 10 m model sampled along the measured centerline, not from a watch barometer. A barometer drifts; the model is checked against published race figures. Args: - slug (string): From ourpr_list_courses. - points (number): Elevation samples to return, 2 to 200. Default 40. The stored profile holds up to 4,873. - response_format ('markdown' | 'json'): Default 'markdown'. Returns: { "slug": string, "name": string, "distance_mi": number, "climb_ft": number | null, "descent_ft": number | null, "min_ft": number | null, "max_ft": number | null, "steepest_pct": number | null, "climb_ft_per_mi": number | null, "elevation_source": string, "profile_points_stored": number, "profile": [{ "mi": number, "ft": number }], "named_sections": [{ "kind": "climb" | "descent", "name": string, "from_mi": number, "to_mi": number, "net_ft": number, "grade_pct": number }], "page_url": string } The sampled profile always keeps the first point, the last point, the highest and the lowest, so its extremes agree with min_ft and max_ft. A course with no named sections returns an empty array. That means the seeder found no stretch that qualified, not that the course is flat: read climb_ft. Examples: - "What are the hills on Boston?" -> slug="boston-marathon" - "Is Houston flat?" -> slug="houston-marathon", read climb_ft_per_mi - "Give me the profile in detail" -> points=200 Error handling: - Returns the slug list suggestion when the slug is unknown.

    after · 95% of words in common

    The elevation profile of one course, sampled, plus every climb and descent ourpr. named on it. THIS IS THE TOOL FOR "what are the hills and where". Each named section carries the street it runs on, the miles it spans, its net rise or fall and its average grade. The elevation comes from a public terrain model sampled along the measured centerline (elevation_source names it), not from a watch barometer. A barometer drifts; the model is checked against published race figures. Args: - slug (string): From ourpr_list_courses. - points (number): Elevation samples to return, 2 to 200. Default 40. The stored profile holds up to 4,873. - response_format ('markdown' | 'json'): Default 'markdown'. Returns: { "slug": string, "name": string, "distance_mi": number, "climb_ft": number | null, "descent_ft": number | null, "min_ft": number | null, "max_ft": number | null, "steepest_pct": number | null, "climb_ft_per_mi": number | null, "elevation_source": string, "profile_points_stored": number, "profile": [{ "mi": number, "ft": number }], "named_sections": [{ "kind": "climb" | "descent", "name": string, "from_mi": number, "to_mi": number, "net_ft": number, "grade_pct": number }], "page_url": string } The sampled profile always keeps the first point, the last point, the highest and the lowest, so its extremes agree with min_ft and max_ft. A course with no named sections returns an empty array. That means the seeder found no stretch that qualified, not that the course is flat: read climb_ft. Examples: - "What are the hills on Boston?" -> slug="boston-marathon" - "Is Houston flat?" -> slug="houston-marathon", read climb_ft_per_mi - "Give me the profile in detail" -> points=200 Error handling: - Returns the slug list suggestion when the slug is unknown.

  • ourpr_list_courseschangeddescription
    before

    List every running course published on ourpr., with its place, distance, climb and next race date. Each course is a MEASURED centerline built from recorded runs, with elevation from the USGS 3DEP 10 m model. It is not a course map traced by hand. START HERE. Every other course tool takes a slug, and this is where slugs come from. Args: - query (string, optional): Match the name and the place. Partial, case-insensitive. - kind ('race' | 'trail' | 'route', optional): Keep one kind. - course_type ('loop' | 'out-and-back' | 'point-to-point', optional): Keep one shape. - min_distance_mi / max_distance_mi (number, optional): Bound the distance in miles. - upcoming_only (boolean): Keep only courses whose race date has not passed. Default false. - limit (number): 1 to 50. Default 20. - offset (number): Skip this many. Default 0. - response_format ('markdown' | 'json'): Default 'markdown'. Returns: { "total": number, // matched the filters "count": number, // in this answer "offset": number, "has_more": boolean, "next_offset": number, // present when has_more "published_total": number, // every published course "courses": [{ "slug": string, // "boston-marathon" "name": string, // the event's own name, title sponsor included "place": string | null, // "Hopkinton → Boston, MA" "kind": string, "course_type": string, "distance_mi": number, "climb_ft": number | null, "steepest_pct": number | null, "next_race_date": string | null, // YYYY-MM-DD "days_out": number | null, // null once the date has passed "page_url": string }] } The order is the race calendar: the soonest race first, then undated courses by distance. Examples: - "What marathons does ourpr. have?" -> min_distance_mi=26 - "Which race is next?" -> upcoming_only=true, limit=1 - "Anything in Fort Worth?" -> query="fort worth" - Do not use when: you want the hills on one course. Use ourpr_get_course_terrain. Error handling: - Returns "No course matched" with the filters echoed when nothing matches.

    after · 98% of words in common

    List every running course published on ourpr., with its place, distance, climb and next race date. Each course is a MEASURED centerline built from recorded runs, with elevation from a public terrain model: USGS 3DEP 10 m in the US, and the city's own 1 m model in Berlin. It is not a course map traced by hand. START HERE. Every other course tool takes a slug, and this is where slugs come from. Args: - query (string, optional): Match the name and the place. Partial, case-insensitive. - kind ('race' | 'trail' | 'route', optional): Keep one kind. - course_type ('loop' | 'out-and-back' | 'point-to-point', optional): Keep one shape. - min_distance_mi / max_distance_mi (number, optional): Bound the distance in miles. - upcoming_only (boolean): Keep only courses whose race date has not passed. Default false. - limit (number): 1 to 50. Default 20. - offset (number): Skip this many. Default 0. - response_format ('markdown' | 'json'): Default 'markdown'. Returns: { "total": number, // matched the filters "count": number, // in this answer "offset": number, "has_more": boolean, "next_offset": number, // present when has_more "published_total": number, // every published course "courses": [{ "slug": string, // "boston-marathon" "name": string, // the event's own name, title sponsor included "place": string | null, // "Hopkinton → Boston, MA" "kind": string, "course_type": string, "distance_mi": number, "climb_ft": number | null, "steepest_pct": number | null, "next_race_date": string | null, // YYYY-MM-DD "days_out": number | null, // null once the date has passed "page_url": string }] } The order is the race calendar: the soonest race first, then undated courses by distance. Examples: - "What marathons does ourpr. have?" -> min_distance_mi=26 - "Which race is next?" -> upcoming_only=true, limit=1 - "Anything in Fort Worth?" -> query="fort worth" - Do not use when: you want the hills on one course. Use ourpr_get_course_terrain. Error handling: - Returns "No course matched" with the filters echoed when nothing matches.

  • ourpr_plan_weekadded

    Write one planned run, or a week of them, onto days still ahead. Each lands on the runner's week as a plan they can see, edit and remove. Needs a token made with the write scope and ourpr. create. Never logs a run.

  • ourpr_list_plansadded

    The runner's planned runs between two dates: day, name, miles, time, tag, the runner's note, whether a logged run fulfilled it, and whether ourpr. create wrote it. Read it before ourpr_plan_week so a new plan does not land on a day that already holds one.

  • ourpr_list_racesadded

    Every race ourpr. finds in the history, newest first, tune-ups included: date, name, distance, time, pace and run id. Also the fastest result at 5K, 10K, half marathon and marathon among them.

  • ourpr_training_blocksadded

    The goal race and its Block: race day, distance, goal time, which week of the Block today falls in, and miles for each week. Also the Blocks before past races, each with its result, weeks and peak week. A Block is the race-anchored Monday to Sunday weeks before a race.

Showing the latest 10. Full history: list_changes · trend: quality JSON.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 80 / 100

no-repository
provenance45
liveness100
freshness100
hygiene80

+website +reachable +uptime-100% +updated-24d-ago -no-repository

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remoteauthreachableuptime 30dp50protocollast ok
https://ourpr.app/api/mcp streamable-httpnoneyes100%395 ms2025-11-252026-10-20

Tools (18)

ourpr_detect_repsread-onlyWhether one particular run was an interval session, and its reps.
ourpr_get_courseread-onlyRead one published course: its place, distance, climb, how it was measured, and which streets carry it. DELIBERATELY WITHOUT the elevation profile, the amenities and the centerline. Those are three more tools, because one course payload is about 83 KB and 91% of it is the profile. Args: - slug (string): From ourpr_list_courses. Example: 'boston-marathon'. - response_format ('markdown' | 'json'): Default 'markdown'. Returns: { "slug": string, "name": string, // the event's own name, title sponsor included "place": string | null, "alternate_names": string[], // curated geographic aliases "kind": string, "course_type": string, "distance_mi": number, // the stated race distance "measured_mi": number | null, // the centerline ourpr. measured "next_race_date": string | null, "days_out": number | null, "climb_ft": number | null, "descent_ft": number | null, "min_ft": number | null, "max_ft": number | null, "steepest_pct": number | null, "provenance": string | null, // one sentence on how it was built "sources": [{ "label": string, "value": string }], "recorded_on": string | null, // the watch that recorded the seed run "main_ways": [{ "name": string, "mi": number, "share_pct": number }], "through": string[], // named places the line passes through "photo_count": number, "counts": { "named_climbs_and_descents": number, "amenities": number, "mile_markers": number, "profile_points": number }, "page_url": string, "gpx_url": string } `distance_mi` is what the race calls itself; `measured_mi` is what the centerline measures. They differ by a few hundredths and both are reported rather than reconciled. Examples: - "Tell me about the Boston Marathon course" -> slug="boston-marathon" - "How much does San Diego climb?" -> slug="san-diego-marathon", read climb_ft - Do not use when: you want the hill-by-hill shape. Use ourpr_get_course_terrain. Error handling: - Returns the slug list suggestion when the slug is unknown.
ourpr_get_course_amenitiesread-onlyPublic 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.
ourpr_get_course_routeread-onlyWhere a course actually runs: its start, its finish, its bounding box, every mile marker, and the streets in the order you meet them. The GPX file is free and needs no account. Hand `gpx_url` to a person who wants the course on a watch. Args: - slug (string): From ourpr_list_courses. - include_polyline (boolean): Add the encoded centerline, about 9,800 characters. Default false. - response_format ('markdown' | 'json'): Default 'markdown'. Returns: { "slug": string, "name": string, "course_type": string, "distance_mi": number, "start": { "lat": number, "lng": number } | null, "finish": { "lat": number, "lng": number } | null, "bbox": { "min_lat": number, "min_lng": number, "max_lat": number, "max_lng": number } | null, "mile_markers": [{ "mile": number, "lat": number, "lng": number }], "streets_in_order": [{ "name": string, "from_mi": number, "to_mi": number }], "polyline": string | null, "gpx_url": string, "page_url": string } On an out-and-back the start and the finish are the same point, by design. Examples: - "Send me the Boston course for my watch" -> read gpx_url - "What streets does Dallas run down?" -> read streets_in_order - "Where does Honolulu start?" -> read start Error handling: - Returns the slug list suggestion when the slug is unknown.
ourpr_get_course_terrainread-onlyThe elevation profile of one course, sampled, plus every climb and descent ourpr. named on it. THIS IS THE TOOL FOR "what are the hills and where". Each named section carries the street it runs on, the miles it spans, its net rise or fall and its average grade. The elevation comes from a public terrain model sampled along the measured centerline (elevation_source names it), not from a watch barometer. A barometer drifts; the model is checked against published race figures. Args: - slug (string): From ourpr_list_courses. - points (number): Elevation samples to return, 2 to 200. Default 40. The stored profile holds up to 4,873. - response_format ('markdown' | 'json'): Default 'markdown'. Returns: { "slug": string, "name": string, "distance_mi": number, "climb_ft": number | null, "descent_ft": number | null, "min_ft": number | null, "max_ft": number | null, "steepest_pct": number | null, "climb_ft_per_mi": number | null, "elevation_source": string, "profile_points_stored": number, "profile": [{ "mi": number, "ft": number }], "named_sections": [{ "kind": "climb" | "descent", "name": string, "from_mi": number, "to_mi": number, "net_ft": number, "grade_pct": number }], "page_url": string } The sampled profile always keeps the first point, the last point, the highest and the lowest, so its extremes agree with min_ft and max_ft. A course with no named sections returns an empty array. That means the seeder found no stretch that qualified, not that the course is flat: read climb_ft. Examples: - "What are the hills on Boston?" -> slug="boston-marathon" - "Is Houston flat?" -> slug="houston-marathon", read climb_ft_per_mi - "Give me the profile in detail" -> points=200 Error handling: - Returns the slug list suggestion when the slug is unknown.
ourpr_get_runread-onlyOne activity in full: mile splits with heart rate, cadence, calories, device. Id comes from ourpr_list_runs. For the profile along the route, use ourpr_run_stream.
ourpr_get_trail_systemread-onlyRead one trail system: how many miles of path it holds, how many ways were mapped, where it sits, and where the measurement came from. Args: - slug (string): From ourpr_list_trail_systems. Example: 'trinity-trails'. - response_format ('markdown' | 'json'): Default 'markdown'. Returns: { "slug": string, "name": string, "region": string | null, "total_mi": number, // every branch summed "mapped_ways": number | null, // OpenStreetMap ways in the network "source": string | null, // how the network and its coverage were built "bbox": { "min_lat": number, "min_lng": number, "max_lat": number, "max_lng": number } | null, "page_url": string } `total_mi` counts the whole network. It is not a distance anyone runs in one go. Examples: - "How many miles of trail are in Fort Worth?" -> slug="trinity-trails" - "Where does the network reach?" -> read bbox Error handling: - Returns the slug list suggestion when the slug is unknown.
ourpr_list_coursesread-onlyList every running course published on ourpr., with its place, distance, climb and next race date. Each course is a MEASURED centerline built from recorded runs, with elevation from a public terrain model: USGS 3DEP 10 m in the US, and the city's own 1 m model in Berlin. It is not a course map traced by hand. START HERE. Every other course tool takes a slug, and this is where slugs come from. Args: - query (string, optional): Match the name and the place. Partial, case-insensitive. - kind ('race' | 'trail' | 'route', optional): Keep one kind. - course_type ('loop' | 'out-and-back' | 'point-to-point', optional): Keep one shape. - min_distance_mi / max_distance_mi (number, optional): Bound the distance in miles. - upcoming_only (boolean): Keep only courses whose race date has not passed. Default false. - limit (number): 1 to 50. Default 20. - offset (number): Skip this many. Default 0. - response_format ('markdown' | 'json'): Default 'markdown'. Returns: { "total": number, // matched the filters "count": number, // in this answer "offset": number, "has_more": boolean, "next_offset": number, // present when has_more "published_total": number, // every published course "courses": [{ "slug": string, // "boston-marathon" "name": string, // the event's own name, title sponsor included "place": string | null, // "Hopkinton → Boston, MA" "kind": string, "course_type": string, "distance_mi": number, "climb_ft": number | null, "steepest_pct": number | null, "next_race_date": string | null, // YYYY-MM-DD "days_out": number | null, // null once the date has passed "page_url": string }] } The order is the race calendar: the soonest race first, then undated courses by distance. Examples: - "What marathons does ourpr. have?" -> min_distance_mi=26 - "Which race is next?" -> upcoming_only=true, limit=1 - "Anything in Fort Worth?" -> query="fort worth" - Do not use when: you want the hills on one course. Use ourpr_get_course_terrain. Error handling: - Returns "No course matched" with the filters echoed when nothing matches.
ourpr_list_plansread-onlyThe runner's planned runs between two dates: day, name, miles, time, tag, the runner's note, whether a logged run fulfilled it, and whether ourpr. create wrote it. Read it before ourpr_plan_week so a new plan does not land on a day that already holds one.
ourpr_list_racesread-onlyEvery race ourpr. finds in the history, newest first, tune-ups included: date, name, distance, time, pace and run id. Also the fastest result at 5K, 10K, half marathon and marathon among them.
ourpr_list_runsread-onlyTraining history between two dates, newest first: date, local start, name, type, miles, pace, time, elevation, average heart rate, and on a runs-only list Friel's efficiency factor and the heartbeats each mile took. Start here for totals, streaks, trends, or finding a run. For one run's splits, use ourpr_get_run with an id from here.
ourpr_list_trail_systemsread-onlyList every trail system ourpr. maps. A trail system is a whole network of connected paths, measured end to end, not a single route through it. Args: - response_format ('markdown' | 'json'): Default 'markdown'. Returns: { "count": number, "trail_systems": [{ "slug": string, // "trinity-trails" "name": string, "region": string | null, // "Fort Worth, TX" "total_mi": number, // the whole network, all branches "page_url": string }] } Examples: - "What trail networks does ourpr. map?" -> no arguments - "How big is Trinity Trails?" -> read total_mi, or call ourpr_get_trail_system - Do not use when: you want one measured route. Use ourpr_list_courses with kind='trail'.
ourpr_plan_weekWrite one planned run, or a week of them, onto days still ahead. Each lands on the runner's week as a plan they can see, edit and remove. Needs a token made with the write scope and ourpr. create. Never logs a run.
ourpr_rep_workoutsread-onlyInterval sessions found across the history, with reps and distances. Detection is conservative, so a session it misses is still in ourpr_list_runs.
ourpr_run_lapsread-onlyThe laps the watch recorded for one run — the runner's own button presses. Laps follow the workout; mile splits follow the mile.
ourpr_run_streamread-onlyA run's profile on a 10 m grid — elevation, heart rate, power, cadence — as min, average, max and coverage per channel, not every sample. Also each half by distance with its moving pace, heart rate and efficiency, the pace change between them, and the drift (aerobic decoupling, Pa:HR), also after the warm up. No profile is a normal answer for an indoor run.
ourpr_similar_terrainread-onlyStretches of past runs matching a distance and climb — what the runner has already done that resembles a race they are training for.
ourpr_training_blocksread-onlyThe goal race and its Block: race day, distance, goal time, which week of the Block today falls in, and miles for each week. Also the Blocks before past races, each with its result, weeks and peak week. A Block is the race-anchored Monday to Sunday weeks before a race.

Schemas: list_tools.

Similar MCP servers

More from io.github.joeyaflores

Official server.json
{
  "name": "io.github.joeyaflores/ourpr-courses",
  "icons": [
    {
      "src": "https://ourpr.app/icon-512.png",
      "sizes": [
        "512x512"
      ],
      "mimeType": "image/png"
    }
  ],
  "title": "ourpr.",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://ourpr.app/api/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "1.1.0",
  "websiteUrl": "https://ourpr.app/courses/mcp",
  "description": "Measured race courses, open to all, and your own runs, Blocks and plans once you sign in."
}