Corpus

study.vela由 vela.study 發布官方發布者v0.1.0更新於 Oct 24, 2026

Read-only MCP access to Vela's corpus of human experience: cited passages, coordinates, reading path

已驗證Streamable HTTP可網頁執行知識與記憶

概覽

AI 產生的概覽

讓助理以唯讀方式存取 Vela 的人類經驗語料庫,回傳附引用的段落、座標與閱讀路徑。

可以做什麼
Corpus 是一個遠端 MCP 伺服器,向助理開放 Vela 的人類經驗語料庫。根據登錄描述,它提供唯讀存取,回傳附引用的段落、座標與閱讀路徑。清單中未列出個別工具,因此工具名稱與參數在此沒有說明。
適用情境
當助理需要引用或瀏覽經過整理、附引用的人類經驗語料,而非進行開放網路搜尋時,可以考慮使用。它適合閱讀與參考類任務,不適合寫入或編輯。
執行需求
位於 vela.study 的遠端 streamable HTTP 端點;未宣告任何套件、環境變數或標頭。清單宣告不需要驗證,因此看起來不需要憑證。需要能連線至該端點的網路。
安裝前請注意
清單宣告不需要驗證,也不要求任何憑證,因此不會索取機密資訊。存取被描述為唯讀,不應寫入、傳送或刪除資料。內容來自第三方語料庫,依賴引用前請先核實。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Corpus,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/study.vela%2Fcorpus/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "corpus": {
      "type": "http",
      "url": "https://vela.study/mcp"
    }
  }
}

README

該儲存庫沒有 README。

工具

10

vela.corpus.query

Ask the corpus by COORDINATE rather than keyword. Filter works by axis weights (e.g. religion ∈ {T,s} AND work ∈ {T,s} returns the God-and-Work source set across genres), controlled themes, qualities/emotions, genre, and free text. Returns card metadata: the one-line claim, themes, coordinates, qualities. FREE and read-only. [capability: library-extraction-cards · mirrors: POST /api/corpus/query]

輸入參數axestextgenrelimittopicoffsetthemesqualitiesinclude_passages

vela.library.reading_list

The reading list an emotion or theme page shows: books with one-line claims and a short attributed passage (≤300 chars). Exactly one of emotion or theme. FREE and read-only. Every url carries ?ref=mcp for citation arrival measurement. [capability: library-extraction-cards · mirrors: GET /api/corpus/reading-list]

輸入參數limitthemeemotion

vela.corpus.list_topics

List the coordinate systems the corpus can be queried through — each with its thesis, axes, and controlled vocabularies. Call this before vela.corpus.query to learn what axes and themes exist. FREE and read-only. [capability: topic-coordinate-systems · mirrors: GET /api/corpus/topics]

無需輸入參數。

vela.corpus.describe_topic

Describe ONE topic in full — its axes and their operative definitions, its complete controlled theme and quality vocabularies, plus the vocabulary actually IN USE across the corpus with counts. The declared vocabulary and the used vocabulary are different facts; this returns both. FREE and read-only. [capability: topic-coordinate-systems · mirrors: GET /api/corpus/topics/:slug]

輸入參數topic

vela.corpus.ground_claim

Ground a claim in the corpus: hybrid semantic + theme retrieval over real passages, returning citations with source, passage code, scores, and a SHORT snippet. Use to check whether the corpus supports, complicates or is silent on an assertion. COSTS a small amount (one embedding per call). [capability: corpus-ingestion-dual-grade · mirrors: internal — lib/audit/retrieve.ts]

輸入參數claim必填limit

vela.corpus.witness

Literary Witness Rail (ASN-1577): return passages and one-line claims from Vela's 762-work corpus that illuminate the given themes and/or emotions. Designed for frame-family profile pages — PersonFrame × ProblemFrame × ConditionFrame — to add an inside-out layer (what writers who lived this say) alongside the outside-in portrait the frame join produces. Results carry evidence_grade 'T1' (single-extractor) until PRN-282 lands. FREE for claims; costs one embedding for the passage path. [capability: literary-witness · mirrors: GET /api/vela/witness]

輸入參數axesthemesemotionsmax_claimsmax_passagesproblem_slugcondition_slug

vela.magazine.sequence_path

Ask what this magazine would actually give a reader who said they wanted these things. Returns the REAL sequenced path with the rationale for each piece — the same core the anonymous intake calls, not a preview. Read-only: writes nothing and records no signal. [capability: adaptive-magazine-engine · mirrors: POST /api/magazine/start-path]

輸入參數formslimitemotionsproperty

vela.magazine.relation_floor

Whether a magazine's corpus can support the adaptive promise its pages render. Reports, per property, each relational dimension's fill AND its separating power — a field present on every piece with one distinct value carries no information, so fill rate alone is misleading. Read-only. [capability: adaptive-magazine-engine · mirrors: npm run magazine:relation-floor]

輸入參數property

vela.research.list_studies

List FieldStation research ideas as a library-kit DiscoveryDTO. Each card is a study we can support, not a running participant surface. The honesty gate (limitations, readiness, doNotClaim) is enforced by research:catalog-check — this tool publishes that same file. FREE and read-only. Presence is gated; truth is not. [capability: study-catalogue · mirrors: GET /api/research/studies]

無需輸入參數。

vela.research.get_study

One FieldStation study as a library-kit ProfileDTO plus the raw StudyRecord. Unknown id is an error. FREE and read-only. [capability: study-catalogue · mirrors: GET /api/research/studies/:id]

輸入參數id必填

版本歷史

1
  1. v0.1.0最新Sep 16, 2026

評分

已滿足適用檢查項的 75%

該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。

  • 近 30 天內可連通必需25 分
  • 已宣告認證方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 圖示10 分
  • 文件15 分

    請宣告包含 README 的 GitHub 儲存庫,或在 OAuth 受保護資源後設資料中提供 resource_documentation。

  • 授權條款10 分

    請在儲存庫或註冊中心條目中宣告授權條款。