Langrit

com.langritPublished by langrit.comOfficial publisherv1.0.0Updated Nov 4, 2026

Language learning memory: due flashcard reviews, past mistakes and level, shared with any AI tutor.

VerifiedStreamable HTTPWeb executableKnowledge & Memory

Overview

AI-generated overview

Langrit is a remote MCP server that gives an AI tutor a learner's language-learning memory: due flashcard reviews, past mistakes and current level.

What you can do
  • Share a learner's language-learning memory with an AI tutor
  • Surface flashcards that are due for review
  • Recall past mistakes and the learner's current level
  • No tool list is published, so the exact operations are not documented in the supplied material.
When to use it
Useful when you want an AI tutor or assistant to adapt language practice to what the learner has already studied, what they got wrong before, and what is due for review, instead of starting from scratch each session.
Requirements
A remote endpoint at langrit.com reached over streamable HTTP; OAuth authentication is required. No environment variables or headers are declared.
Before you install
The server holds personal learning data (mistakes, level, review history) and requires OAuth sign-in, so review what the connected assistant can read or change. No tool list is published, so verify what it can write before relying on it.

Installation

In SourceWeft

  1. Open Langrit in the dashboard and add it to a workspace.
  2. Connect the required credentials. They are stored privately and never shown on public pages.
  3. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/com.langrit%2Flangrit/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.

{
  "mcpServers": {
    "langrit": {
      "type": "http",
      "url": "https://langrit.com/mcp"
    }
  }
}

Tools

0
This server asks you to sign in, so SourceWeft could not read its tools without an account and has not indexed them. What a connected account sees can depend on that account and its permissions.

Version history

1
  1. v1.0.0LatestNov 4, 2026

Score

67% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts

    Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.

  • LicenseNot applicable

    A hosted service is used under its provider's terms, so no license is expected here. This check is left out of the percentage.