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PopNx MCPMCP servers for people who use AI · explained in plain words

Corpus

by wheelofheavenversion 0.1.1i★ –iComputer or cloud
Registry nameworld.wheelofheaven.mcp/corpus

Install

Overview

Description from the maker (original English)

Read-only Wheel of Heaven corpus: myth search, primary texts, datasets, typed graph. CC0.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • The registry lists no key to fill in.

You need

  • Runs in the cloudNothing to install; it connects over the internet
  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://mcp.wheelofheaven.world/mcp

Or run it on your computer

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "corpus": {
      "command": "npx",
      "args": [
        "-y",
        "@wheelofheaven/mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add --transport http corpus https://mcp.wheelofheaven.world/mcp

Or run it on your computer

claude mcp add corpus -- npx -y @wheelofheaven/mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "corpus": {
      "url": "https://mcp.wheelofheaven.world/mcp"
    }
  }
}

Or run it on your computer

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "corpus": {
      "command": "npx",
      "args": [
        "-y",
        "@wheelofheaven/mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "corpus": {
      "type": "http",
      "url": "https://mcp.wheelofheaven.world/mcp"
    }
  }
}

Or run it on your computer

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "corpus": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@wheelofheaven/mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://mcp.wheelofheaven.world/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain mcp.wheelofheaven.world (the registry checks domain ownership)

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • … Not checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 5689 servers in this category
  • Published to the registry more recently than 28% of the other 5689 servers in this category
  • Basic checks equal to or better than 100% of the other 5689 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Corpus safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 3 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

by upstashWidely used↓ 972.7K/wk★ 64.2KUpdated 2 days ago

Computer or cloud

Codebase Memory

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

by DeusDataWidely used↓ 18K/wk★ 48.1KUpdated 22 days ago

Runs on your computer

Exa

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

by exa-labsGrowing★ 5.2KUpdated 2 months ago

Runs in the cloud✓ exa.ai

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

mcp.wheelofheaven.world

Read-only MCP server for the Wheel of Heaven corpus. It wraps the static JSON API at api.wheelofheaven.world so AI agents can search and retrieve the corpus with full epistemic metadata (claim types, editorial passes, citations).

Design rationale and tool-surface spec: .claude/plans/strategy-mcp-server.md in the org .claude repo.

Endpoints

  • /mcp — Streamable HTTP (canonical)
  • /sse — legacy SSE transport
  • / — server info (JSON)

Install

Remote (recommended — nothing to run locally):

claude mcp add --transport http wheel-of-heaven https://mcp.wheelofheaven.world/mcp

Local stdio via npm (@wheelofheaven/mcp):

npx -y @wheelofheaven/mcp

Registry listing: world.wheelofheaven.mcp/corpus in the official MCP registry.

Tools

Fact layer — source-grounded data, no interpretation applied:

ToolPurpose
search_corpusFuzzy full-text search over wiki, timeline, library books, articles, and news (~290 documents; token-AND with OR fallback)
get_entryOne wiki/timeline/articles/news entry as markdown with claim_type, editorial_pass, typed related-content edges, and canonical citation URLs; 9-language support via lang
get_passageA chapter of a digitized primary source text as numbered paragraphs with stable reference IDs (e.g. GEN-1:26); ref filters to one verse
get_sourceBibliography lookup by stable ID or search — every record carries the source-program classification (family, stance, relation), critical sources included
compare_traditionsRows from the comparative datasets: flood-myths, divine-council-index, theomachy-crossrefs, world-ages, prophets-and-religions
query_graphTyped 1-hop ego network of any corpus node (see_also, in_body, cites_source, same_tradition, same_age, comparison_of)

Interpretation layer — explicitly the project's own reading, labeled as such:

ToolPurpose
get_interpretationThe Wheel of Heaven framework's reading of a topic (curated context documents, or the closest wiki entry), always carrying an interpretation-layer notice
get_methodThe editorial methodology: claim-type taxonomy, six-source rule, editorial passes — how to weigh everything else

Meta:

ToolPurpose
get_glossary_termCore terminology with renderings in all 9 site languages (exact-id match first)

Resources: the six /v1/context/* narrative documents (woh://context/{overview,hypothesis,terminology,timeline,sources,method}) plus woh://llms.txt.

Development

npm install

npm run dev # wrangler dev on :8787 npm run typecheck npm run deploy # wrangler deploy (needs Cloudflare auth)

The server is stateless over the upstream API: every tool call fetches api.wheelofheaven.world/v1/…, with the ~600 KB search corpus cached in-memory per isolate for one hour (matching the API's edge-cache TTL).

Architecture

  • Cloudflare Workers + agents SDK (McpAgent Durable Object)
  • src/server.ts — transport-agnostic tool registration (reused by the future npm stdio build)
  • src/api.ts — /v1/ client + search-corpus cache
  • src/html.ts — deterministic body_html → markdown conversion

Related repositories

License

CC0-1.0 — like the corpus itself.

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