Corpus

study.vela由 vela.study 发布官方发布者v0.1.0更新于 Oct 24, 2026

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

已验证Streamable HTTP可网页运行知识与记忆

概览

AI 生成的概览

让助手以只读方式访问 Vela 的人类经验语料库,返回带引用的段落、坐标和阅读路径。

可以做什么
Corpus 是一个远程 MCP 服务器,向助手开放 Vela 的人类经验语料库。据注册表描述,它提供只读访问,返回带引用的段落、坐标和阅读路径。清单中未列出具体工具,因此工具名称和参数在此没有说明。
适用场景
当助手需要引用或浏览经过整理、带引用的人类经验语料,而不是进行开放网络搜索时,可以考虑使用。它适合阅读和参考类任务,不适合写入或编辑。
运行要求
位于 vela.study 的远程 streamable HTTP 端点;未声明任何软件包、环境变量或请求头。清单声明无需身份验证,因此看起来不需要凭据。需要能访问该端点的网络。
安装前请注意
清单声明无需身份验证,也不要求任何凭据,因此不会索取机密信息。访问被描述为只读,不应写入、发送或删除数据。内容来自第三方语料库,依赖引用前请先核实。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Corpus,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/study.vela%2Fcorpus/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

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

README

该仓库没有 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]

输入参数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]

输入参数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]

无需输入参数。

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]

输入参数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]

输入参数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]

输入参数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]

输入参数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]

输入参数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]

无需输入参数。

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]

输入参数id必填

版本历史

1
  1. v0.1.0最新Sep 16, 2026

评分

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