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Nibomo Flashcards: MCP server, setup and security

Nibomo Flashcards is an open-source MCP server that lets an AI agent read, write and review open-source flashcards through conversational interactions. Its repository has 100 stars and its last commit is from October 24, 2026 and it is licensed under MIT.

Actively maintainedRemote server

What Nibomo Flashcards does

According to its repository: “Read, write, and conversationally review open-source flashcards through split read/write MCP tools.”

An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. Nibomo Flashcards is listed under Cloud platforms, a category of 116 servers in the directory, where it ranks #42 by stars.

Topics declared by the repository: anki-alternative, aws, edtech, flashcards, fsrs, indexeddb.

Installing and connecting Nibomo Flashcards

Distribution modes declared in the official MCP registry:

  • remote server (streamable-http): you connect to it by URL, with nothing to install locally

Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: TypeScript.

Security: what to check

An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Nibomo Flashcards. That does not replace reading the code.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on March 2, 2026, the kirill-markin/flashcards-open-source-app repository has 100 stars and 20 forks, with 4 open issues. It has more stars than 67% of the servers in the directory. It received changes this month. Version published in the registry: 1.37.0 (October 21, 2026).

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

CoderCoder : 17.2K17.2KKubesharkKubeshark : 12.1K12.1KAwslabs MCPAwslabs MCP : 9.8K9.8KMCP server cloudflareMCP server cloudflare : 4.4K4.4KKubefwdKubefwd : 4.2K4.2KSocraticodeSocraticode : 3.4K3.4KKubernetes MCP serverKubernetes MCP server : 2.2K2.2KAzure DevOps (ADO)Azure DevOps (ADO) : 2.1K2.1KNibomo FlashcardsNibomo Flashcards : 100100
GitHub stars of the most followed servers in the category (log scale); Nibomo Flashcards in orange. Checked October 25, 2026.

Verdict

Nibomo Flashcards is a reasonable choice; check the points below before connecting it.

Strengths

  • Active project: recent commit
  • Listed in the official MCP registry
  • Usable remotely, without installation
  • Permissive licence (MIT)

Frequently asked questions

How do I install Nibomo Flashcards?

Nibomo Flashcards is distributed as a remote server. Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of kirill-markin/flashcards-open-source-app.

Is Nibomo Flashcards free?

The code is published under the MIT licence and can be used free of charge.

Is Nibomo Flashcards safe?

No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.

Is it an official server?

It is published in the MCP registry under the verified namespace com.nibomo, which shows the publisher controls that domain.

What are the alternatives to Nibomo Flashcards?

In the same category: MCP server cloudflare, Awslabs MCP, Terraform, and Kubefwd. MCP server cloudflare and Awslabs MCP score higher on our grid.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score