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Sefaria Jewish Library

Sefaria Jewish Library MCP Server provides AI assistants with access to Jewish texts and commentaries through the Sefaria.org API. Built with Python 3.12, it enables retrieval of Hebrew and English texts, weekly Torah portions (Parasha), and related commentaries. The server exposes tools for fetching specific text references and their associated commentaries, making it valuable for religious study, scholarly research, and educational contexts where access to traditional Jewish texts enhances the conversation experience.

Cognium trust score

97%

Tier

Verified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-30.

Scan details: Circle-IR · 2026-09-30 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: search
Source: PulseMCP
Repository: github.com/opentorah-ai/mcp-sefaria-server
Author type: human
Last scanned: 2026-09-30
Updated: 2026-09-30

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MCP

Resolve Sefaria Jewish Library from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"