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Source discipline for Torah study in Claude: read the real texts, quote exactly, never fabricate
About
Source discipline for Torah study in Claude: read the real texts, quote exactly, never fabricate
Remote endpoints: streamable-http: https://torah-mcp.com/mcp
Security Report
Valid MCP server (1 strong, 0 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.
14 tools verified · Open access · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-jonathanb555-torah-mcp": {
"url": "https://torah-mcp.com/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
Torah MCP
A source discipline for Claude — never quote Torah from model memory. Before answering any religious question, Claude loads a bundled study method that forces it to read the actual texts (Sefaria API), quote exactly, flag divergent opinions, and point to hebrewbooks.org for further study — never fabricating a reference. A HebrewBooks catalog search (~65,000 seforim) completes the loop.
Pairs ideally with Sefaria's official MCP
(https://mcp.sefaria.org/sse) — install both: the official server for deep
library access (14 tools), Torah MCP for the citation discipline, the study
method and HebrewBooks.
Free, no account, no data collected. Hosted instance:
https://torah-mcp.com/mcp
Install
claude.ai — Settings → Connectors → Add custom connector → paste the URL above. Works on mobile too once added.
Claude Code
claude mcp add --transport http torah https://torah-mcp.com/mcp
Any MCP client — streamable HTTP transport at the same URL.
Tools
| Tool | Purpose |
|---|---|
hebrewbooks_skill | The core: the study method loaded before answering any religious question — sources actually read, exact quotes, hebrewbooks.org reading links |
hebrewbooks_search | HebrewBooks catalog search (~65,000 scanned seforim) by title/author via their official API — requires a HEBREWBOOKS_API_KEY (granted on request: developers@hebrewbooks.org) |
sefaria_text | Text of any reference (Hebrew + translation): Berakhot 2a, Shulchan Arukh, Orach Chayim 1:1… |
sefaria_links | Linked commentaries and sources (Rashi, Tosafot, midrash, halakhah…), filterable by category |
sefaria_search | Full-text search across the whole library (Hebrew or English) |
sefaria_calendar | Parashat hashavua, haftarah, daf yomi, daily Rambam… |
The server also ships an instructions block (loaded by MCP clients at
initialize) telling the model to load the skill before answering any religious
question, and an MCP prompt (/mcp__torah-mcp__hebrewbooks).
Deploy your own
Or manually:
npm install
npx wrangler deploy
No secrets required. Optional: set a BEARER_TOKENS secret (comma-separated
list) to switch from public access to invitation-only — each guest then uses
https://<your-worker>/<token>/mcp, and you revoke by removing a token.
Good-citizen notes
- Requests to Sefaria carry an identifying
User-Agentand are edge-cached (24 h for texts and links, 1 h for calendars) so repeated study of the same daf costs Sefaria a single API call. - A per-IP rate limit (60 req/min) protects the public endpoint.
- Text licenses are returned with every response. Data by the wonderful Sefaria — support them.
License
MIT — see LICENSE. The bundled study-method skill and this server are unaffiliated with Sefaria and hebrewbooks.org.
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