Sefaria Torah Texts API MCP for AI. Audit scripture, search texts by reference, and track daily study plans.

Q: Can I search across all books using searchsacredtexts?

Yes, searchsacredtexts is designed to query the entire Sefaria library. It doesn't limit results by book or category, giving you a comprehensive match list.

Q: What does listlibraryindex show me?

listlibraryindex shows you the scope of the database—all the major books and thematic categories available. It’s like viewing the catalog before you start shopping.

Q: How do I check if this API is working with checkapistatus?

Running checkapistatus provides a simple confirmation that the Sefaria service endpoint is operational. This prevents your agent from wasting time on failed queries.

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

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The Sefaria Torah Texts API gives your AI agent direct access to Jewish sacred literature, including the Bible (Torah), Talmud, and other texts.

It lets you perform deep textual analysis without manual searching or citation guesswork. You can retrieve specific verses by reference, track daily reading schedules, audit the entire library index, or search across thousands of years of writings using natural language commands.

What your AI can do

Check api status

Confirms whether the Sefaria API service is currently running and available.

Get daily reading calendar

Retrieves today's assigned reading schedule, including Parashah or Daf Yomi details.

Get sacred text

Fetches the full text and translations for a specific scripture reference (e.g., Genesis 1:1).

+ 2 more capabilities included

Retrieve specific scripture by reference

The agent gets the full text (Hebrew and English) for any verse using its exact book and chapter number.

Search across all sacred texts

The agent runs a keyword search over Sefaria’s entire library, returning multiple relevant passages that match your query.

Check today's study schedule

The agent pulls the current reading calendar (Parashah or Daf Yomi) to help you plan your day of study.

Audit the available literature

The agent lists all books and major categories contained within the Sefaria database for scope checks.

Verify service status

The agent confirms that the underlying Sefaria API is operational before running any complex queries.

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AI Agent

Sefaria Torah Texts API MCP Server: 5 Tools for Text Retrieval

Use these five tools to audit sacred literature, find precise citations by reference, or search across the entire body of Jewish texts.

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Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

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Check Api Status

Confirms whether the Sefaria API service is currently running and available.

Get Daily Reading Calendar

Retrieves today's assigned reading schedule, including Parashah or Daf Yomi details.

Get Sacred Text

Fetches the full text and translations for a specific scripture reference (e.g....

List Library Index

Lists all major books, sections, and categories available in the Sefaria database.

Search Sacred Texts

Searches for specified keywords or phrases across the entire depth of the Sefaria...

Security and governance baked right in.

Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.

Claude AI

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

Start a conversation

Open a new chat. The Sefaria Torah Texts API integration is available immediately — no restart needed.

Antigravity

Configure Agent Environment

Open your Antigravity agent's workspace configuration or mcp-servers.json file.

Bind the Endpoint

Add the Vinkius endpoint URL to your agent's MCP connections list:

"mcp_servers": {
  "sefaria-torah-texts-api": {
    "serverUrl": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
  }
}

Provide your secure token in place of [YOUR_TOKEN_HERE] to ensure your agent requests are authenticated.

Execute

Start your Antigravity session. The agent will autonomously discover and utilize the Sefaria Torah Texts API tools with full Vinkius guardrails applied.

VS Code Copilot

⚡

One-Click Install (Recommended)

In your Vinkius Dashboard, simply click the Add to VS Code button for this server. We'll automatically configure your local workspace.

Or configure manually

Open MCP Settings

Open VS Code, press Ctrl/Cmd + Shift + P, and search for GitHub Copilot: MCP Servers.

Add Server Config

Add the Vinkius endpoint configuration to your mcp-servers.json file:

"sefaria-torah-texts-api": {
  "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}

Ensure you replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

LangChain

Install Dependencies

Install the LangChain MCP adapters for your environment:

pip install langchain-mcp-adapters

Connect the Server

Use the SSEClient in LangChain to connect to the Vinkius managed endpoint:

from langchain_mcp_adapters.client import SSEClient

# Connect to Vinkius
client = SSEClient(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
tools = client.get_tools()

CrewAI

Define the Tool

Load the Vinkius MCP tools into your CrewAI agents:

from crewai import Agent
from mcp_crewai import MCPTool

# Connect securely to Vinkius
vinkius_tools = MCPTool(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

# Assign to Agent
researcher = Agent(
    role='Data Researcher',
    tools=vinkius_tools.get_all()
)

Execute Task

Run your CrewAI process. The agent will autonomously route tasks to the Vinkius managed server.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

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Start with Sefaria Torah Texts API, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.

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Works with Claude, ChatGPT, Cursor, and more
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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Sefaria. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This connection provides 5 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.

Cross-referencing sacred texts used to take weeks of manual work.

Today, if an academic needed to track a single concept—say, 'justice'—across the Talmud and Torah, they spent days navigating physical indexes. They’d copy passages into spreadsheets, trying to map related concepts across different volumes and authors. It was slow, error-prone, and required deep institutional knowledge just to set up the research.

With this MCP server, that whole process collapses. Your agent runs `search_sacred_texts` for 'justice'. Within seconds, you get every hit from thousands of sources, complete with citations. You’re not tracking passages; you’re reviewing an organized list of results.

Sefaria Torah Texts API MCP Server: Get structured data instantly.

The old way meant dealing with PDFs and image scans—you'd copy a verse, but you’d lose the original source context or the bilingual comparison. You could only get text, never the full metadata needed for citation.

Now, `get_sacred_text` provides structured data. It gives you the English translation *and* the Hebrew script, alongside unique identifiers. This means your agent handles not just the content retrieval, but the proper formatting and verification required by academic standards.

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What your AI can actually do with this

You gotta know what the Sefaria Torah Texts API does before you even start querying it. This isn't just a search engine; it gives your AI agent direct, verifiable access to Jewish sacred literature—the Bible (Torah), Talmud, and tons of other texts. Instead of making your agent manually cross-reference dusty books or guessing citations, this server lets it act like a dedicated research assistant that pulls precise data instantly.

Checking the System First

Before you run anything complex, you'll want to confirm things are running right. Your agent can use check_api_status to immediately verify if the entire Sefaria Torah Texts API service is online and available for querying. That way, you don't waste time sending a request that hits a dead end.

Handling Specific Scripture References

The biggest thing it does is pull out exact verses. With get_sacred_text, your agent pulls the full text and translations for any specific scripture reference—for example, Genesis 1:1. You get both the Hebrew original and the English translation right in one package. This function requires you to specify the exact book and chapter number because it's built for pinpoint accuracy.

Searching Across Everything

Need something that isn't tied to a specific verse? Use search_sacred_texts. This tool runs a keyword search across the entire scope of the Sefaria library. When you give it phrases or keywords, it doesn't just find one match; it returns multiple relevant passages that align with your query, no matter how far back in history they were written.

It searches every single corner of the database.

Planning Your Study Schedule

If you're planning a day of study, get_daily_reading_calendar pulls today's assigned reading schedule for you. This tells your agent what Parashah or Daf Yomi you should be looking at, helping you keep your learning plan current and organized.

Understanding the Scope

Sometimes you just need to know what's available. list_library_index lists all the major books, sections, and categories contained within the huge Sefaria database. You can use this to audit the full scope of literature before you start digging in, so you know exactly what corpus your agent is working with.

In short, if your goal is textual analysis that requires precision—whether you're checking the status, pulling a specific verse by its reference, searching across thousands of years of writing, getting today's reading schedule, or auditing the available literature index—this API gives your agent all the tools it needs. It handles all the heavy lifting so you just get the clean data.

Built · Hosted · Managed by Vinkius Sefaria Torah Texts API - Academic Scripture Search

Server ID 019d847c-152b-72a2-b839-020d4a917d14

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Compliance Grade A+

Score 100/100

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Here's how it actually works

The bottom line is that your agent handles all the API calls—you just talk naturally about the texts you need.

Subscribe to this server and connect your AI client (Claude, Cursor, etc.) through the MCP framework.

Your agent recognizes the available tools. When you ask a question like 'What does Genesis 1:1 say?', it knows it needs to call get_sacred_text.

The service returns structured data containing the full text, bilingual translations, and metadata for your research.

Who is this actually for?

Scholars, academics, and dedicated students who work with complex textual data. If citation accuracy matters and cross-referencing huge bodies of historical text is part of your job, this server saves you hours of manual lookup.

Academic Researcher

They use search_sacred_texts to find all instances of a specific concept across multiple books, then verify the context using get_sacred_text for precise citations.

Religious Educator

They rely on get_daily_reading_calendar and list_library_index to build curriculum outlines and ensure students are studying the correct, relevant material each week.

Theological Student

They use the system to audit texts by reference, comparing verses from different books using get_sacred_text for comparative analysis.

What Changes When You Connect

Citation accuracy is instant. Instead of manually checking books for a verse, get_sacred_text pulls the exact text and bilingual version in one go.

You stop guessing where to start research. Using list_library_index gives you an immediate map of thousands of years of literature before you write your first chapter.

search_sacred_texts covers everything. You don't need to know the book or passage; just give it a keyword, and it finds every relevant match across the entire library.

Study planning is simple. get_daily_reading_calendar shows you exactly what reading is due today, keeping your schedule perfectly aligned with traditional study cycles.

Your workflow stays reliable. The check_api_status tool lets your agent confirm that the data source is online before running critical research queries.

See it in action

01 01

Cross-referencing a concept in Talmudic law

A student needs to see how 'justice' was discussed across multiple texts. They ask their agent: 'Search for justice.' The agent runs search_sacred_texts, returns dozens of passages, and then uses get_sacred_text on the top three hits so the student can compare the context instantly.

02 02

Verifying a citation for an academic paper

A researcher needs to confirm the exact wording of 'In the beginning God created...' The agent runs get_sacred_text using 'Genesis 1:1'. The system returns the full, verifiable text in both Hebrew and English, eliminating citation errors.

03 03

Starting a new study cycle

A learner starts their week by asking, 'What's today's reading?' The agent runs get_daily_reading_calendar, tells the user the required Parashah, and provides links to that section of text.

04 04

Mapping out a research project scope

Before writing a paper on Jewish law, an educator first asks the agent to list_library_index. This action shows them all the available books and categories, helping them narrow their focus from 'everything' to something manageable.

The honest tradeoffs

Searching without scope

Anti-pattern

A user asks, 'Tell me about law.' They might then try to read random results one by one. This is slow and unstructured.

The Fix

First, run list_library_index to see if the book of Laws exists. If it does, use search_sacred_texts with a limited scope, or better yet, ask for specific texts using get_sacred_text if you know the reference.

Relying on general search only

Anti-pattern

A user knows they need 'Genesis 1:1' but uses a broad keyword search instead. This returns too many results, forcing them to manually filter for the correct verse.

The Fix

If you know the book and chapter, don't search keywords. Use get_sacred_text directly with the reference (e.g., 'Genesis 1:1'). It’s faster and more precise.

Ignoring service status

Anti-pattern

A complex query fails midway, leaving the user unsure if it was a bad query or an API outage.

The Fix

Always start by running check_api_status first. This confirms the server is online and ready to handle your research workload.

When It Fits, When It Doesn't

Use this MCP Server when your primary goal is deep, structured textual analysis of specific religious canons. You need verifiable citations (Hebrew/English) and access to massive, interconnected bodies of work like the Talmud or Torah.

Don't use it if you just need general historical facts—a standard knowledge graph tool handles that fine. Don't use it if your data is proprietary and not published through Sefaria. If you are working with modern legal documents or non-religious texts, look for a dedicated document processing API instead.

The best workflow uses multiple tools: start by list_library_index to scope the topic, then use search_sacred_texts to find initial hits, and finally drill down on specific passages using get_sacred_text. This combination ensures you move from broad idea to precise citation.

Questions you might have

How do I find a specific verse using `get_sacred_text`? +

You must provide the exact reference (Book Name and Chapter:Verse), like 'Genesis 1:1'. The tool returns both Hebrew and English text for that single passage.

Can I search across all books using `search_sacred_texts`? +

Yes, search_sacred_texts is designed to query the entire Sefaria library. It doesn't limit results by book or category, giving you a comprehensive match list.

What does `list_library_index` show me? +

list_library_index shows you the scope of the database—all the major books and thematic categories available. It’s like viewing the catalog before you start shopping.

How do I check if this API is working with `check_api_status`? +

Running check_api_status provides a simple confirmation that the Sefaria service endpoint is operational. This prevents your agent from wasting time on failed queries.

Can I use `get_daily_reading_calendar` for historical data? +

The tool focuses on the current schedule (Parashah or Daf Yomi). If you need past schedules, you'll have to manually provide those dates, as it reads live calendar data.

Does `get_sacred_text` require an API key or authentication? +

No, it doesn't. The Sefaria service is free and open, meaning your agent only needs to connect to the MCP endpoint. You don't need to manage any credentials for basic text retrieval.

When I use `get_sacred_text`, how does it handle bilingual data? +

The response always provides both languages in a structured payload. Expect separate fields containing the original Hebrew script and the standard English translation, which simplifies parsing for your AI client.

Are there rate limits when I use `search_sacred_texts`? +

While the underlying service is open, rapid or excessive querying can trigger temporary rate limitations. For stable performance, implement backoff logic in your agent's workflow to manage query volume.

Is an API Key required for Sefaria API? +

No. Sefaria provides a free public API for non-commercial use. This server works out of the box without any static credentials required.

What languages are the texts available in? +

The Sefaria API primarily provides texts in their original Hebrew or Aramaic along with professional English translations.

Can the agent show the weekly Parashah? +

Yes. The get_daily_reading_calendar tool retrieves the official weekly Torah portion (Parashah) and other daily study markers.

Connect to your AI in seconds.

Check api status

Get daily reading calendar

Get sacred text

Sefaria Torah Texts API MCP Server: 5 Tools for Text Retrieval

Make your AI actually useful.

Check Api Status

Get Daily Reading Calendar

Get Sacred Text

List Library Index

Search Sacred Texts

Security and governance baked right in.

Claude AI

Open Claude Settings

Add Custom Connector

Start a conversation

Claude Code

Open your terminal

Add the MCP Server

Start coding

Cursor

One-Click Install (Recommended)

Open Cursor Settings

Add New Server

Use in Composer

Antigravity

Configure Agent Environment

Bind the Endpoint

Execute

VS Code Copilot

One-Click Install (Recommended)

Open MCP Settings

Add Server Config

Windsurf

One-Click Install (Recommended)

Open Windsurf Settings

Add Server Endpoint

LangChain

Install Dependencies

Connect the Server

CrewAI

Define the Tool

Execute Task

Choose How to Get Started

Build Your Own

Make Your AI Do More

Works with Claude, ChatGPT, Cursor, and more

Cross-referencing sacred texts used to take weeks of manual work.

Sefaria Torah Texts API MCP Server: Get structured data instantly.

What your AI can actually do with this

Here's how it actually works

Who is this actually for?

What Changes When You Connect

See it in action

Cross-referencing a concept in Talmudic law

Verifying a citation for an academic paper

Starting a new study cycle

Mapping out a research project scope

The honest tradeoffs

Searching without scope

Relying on general search only

Ignoring service status

When It Fits, When It Doesn't

Questions you might have