INDIVIDUAL MCP TOOL

vela.corpus.query

Ask the corpus by COORDINATE rather than keyword.

vela.studynone authenticationAvailability not checked

LIVE ENDPOINT

https://vela.study/mcp

No auth detected

Connect to this endpoint to inspect the live schema for vela.corpus.query and invoke it with your own arguments.

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.vela]
url = "https://vela.study/mcp"
enabled = true

Claude Code

.mcp.json

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

Claude Desktop

Settings → Connectors → Add custom connector

Name: vela
Remote MCP URL: https://vela.study/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "vela": {
      "url": "https://vela.study/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

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

Generic MCP

Client-specific MCP configuration

{
  "name": "vela",
  "transport": "streamable-http",
  "url": "https://vela.study/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

vela.corpus.list_topics — List the coordinate systems the corpus can be queried through — each with its thesis, axes, and controlled vocabularies.
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.
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.
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.
vela.magazine.sequence_path — Ask what this magazine would actually give a reader who said they wanted these things.
vela.magazine.relation_floor — Whether a magazine's corpus can support the adaptive promise its pages render.