CourseProfiler

安装

选择你使用的 AI 应用，然后复制设置。

通过 2/3 项检查 · 你的提问会经过开发者的服务器（courseprofiler.com） · ✓ 命令已检查 2026年11月13日

claude mcp add --transport http --scope user courseprofiler https://courseprofiler.com/mcp

{
  "mcpServers": {
    "courseprofiler": {
      "url": "https://courseprofiler.com/mcp"
    }
  }
}

{
  "servers": {
    "courseprofiler": {
      "type": "http",
      "url": "https://courseprofiler.com/mcp"
    }
  }
}

哪些应用可以使用它

依据这个服务器的连接方式和各应用自己的文档，检查于 2026年11月10日。

通过互联网连接，适用于

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

全部应用及其优缺点 →

它能做什么

工具名称和描述与服务器在 2026年11月15日 报告的完全一致。这些内容由作者撰写，不是我们写的；我们以纯文本形式显示。

• 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

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月15日

• ! 注意

  作者与仓库一致

  注册中心没有列出源代码仓库，因此无法将发布者（courseprofiler.com）与代码对应起来

• … 尚未检查

  仍在维护

  我们还没有从 GitHub 读取这个仓库

• … 尚未检查

  有许可证

  我们还没有从 GitHub 读取这个仓库

• ✓ 通过

  端点有响应

  在 168 毫秒内响应（HTTP 200）

• – 不适用

  使用 OAuth 登录

  无需登录

• ✓ 通过

  工具描述中没有隐藏指令

  已读取 26 个工具描述，未发现针对 AI 的隐藏指令

我们检查什么 → · JSON

用户评价

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与“搜索与 AI 记忆”中的其他服务器比较i

• 星标数多于此分类中其他 6178 个服务器的 0%
• 发布到注册中心的时间比此分类中其他 6178 个服务器的 20% 更新
• 基础检查结果等于或优于此分类中其他 6178 个服务器的 50%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

功能相近的其他选择

同一分类、其他作者、命令已通过检查。官方的排在前面，再按星标排序。

如何看卡片：↓ 每周下载量i★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

OpenSEO

Keyword research, site audits, rank tracking and AI visibility for your AI agent.

作者：every-app·广泛使用·★ 2.8万·昨天更新

在云端运行✓ everyapp.com

接入方法

Exa

Connect AI agents to Exa for web search, content fetching, and multi-step research.

作者：exa-labs·广泛使用·★ 5234·2个月前更新

在云端运行✓ 服务方 · exa.aiPopNx 团队已实际试用

接入方法

Mockserver

Mock, record/replay, verify and chaos-test any HTTP, REST, gRPC or LLM dependency over MCP.

作者：mock-server·正在增长·★ 5011·19天前更新

在你的电脑上运行✓ 服务方 · mock-server.com

安装

Microsoft Learn MCP

Official Microsoft Learn MCP Server – real-time, trusted docs & code samples for AI and LLMs.

作者：MicrosoftDocs·广泛使用·★ 1992·12个月前更新

在云端运行✓ 服务方 · microsoft.comPopNx 团队已实际试用

接入方法

Docs

Search and read Empryo's documentation. Read-only, no auth, no local access.

作者：proxysoul·正在增长·★ 1614·2个月前更新

在云端运行✓ empryo.com

接入方法

• OpenSEO — 在云端运行，无需安装 · 不需要密钥
• Exa — 在云端运行，无需安装 · 不需要密钥 · 在 Claude 的目录中
• Mockserver — 需要安装在电脑上 · 不需要密钥
• Microsoft Learn MCP — 在云端运行，无需安装 · 不需要密钥 · 在 Claude 的目录中
• Docs — 在云端运行，无需安装 · 不需要密钥

作者的 README

仓库中没有找到 README