Who should use srs-mcp?

srs-mcp is an open-source project built for developers building spaced-repetition or flashcard tools.

Does srs-mcp have a free plan?

Yes — srs-mcp is open source under the MIT license and free to use.

What platforms does srs-mcp run on?

srs-mcp runs on the command line and API. It can also be self-hosted.

Is srs-mcp still maintained?

The GitHub repository shows 6 commits in the last 90 days.

Who develops srs-mcp?

srs-mcp is developed by klutometis.

Is srs-mcp open source?

Yes — srs-mcp is open source under the MIT license, developed on GitHub.

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srs-mcp

Name: srs-mcp
Author: klutometis

PyPIInfrastructure

srs-mcp is an open-source, agent-agnostic MCP server for spaced-repetition learning using the FSRS algorithm. It allows developers to add, review, and grade flashcards programmatically without the need for the Anki GUI. Ideal for those building custom learning tools or integrating spaced-repetition into their own applications.

Open SourceMITCLIAPISelf-hosted

Visit PyPI

1star

9features

2026since

Overview

9 features

srs-mcp is a Frameworks & SDKs project. It focuses on managing and reviewing spaced-repetition flashcards without relying on the Anki GUI. It is built as an open-source project for developers building spaced-repetition or flashcard tools. The project is open source (MIT). It ships for the command line and API, and it can be self-hosted.

Behind srs-mcp is klutometis, and it first shipped in 2026. Development happens publicly on GitHub with 6 commits in the last 90 days. Among its 9 catalogued features are spaced repetition, card management, and recall grading. It exposes integrations via an MCP server and a public API.

Summary written by a language model from the project’s public pages.

Spaced repetition
Card management
Recall grading
FSRS algorithm
No GUI required
API access
CLI support
Agent agnostic
Self-hosted server

Built with & integrations

Connectors

MCPAPI

Runs on

CLIAPI-onlySelf-hosted

Trust & compliance

License

MIT

Verified signals

HTTPSOpen SourceFree tierGitHub · ★ 1Active maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed1 Jul · 06:08 UTC
srs-mcp verified against its public source
Source: PulseGate · Open

Frequently asked questions about srs-mcp

What does srs-mcp do?: Srs-mcp focuses on managing and reviewing spaced-repetition flashcards without relying on the Anki GUI. It is catalogued under Frameworks & SDKs on PulseGate.
Who should use srs-mcp?: srs-mcp is an open-source project built for developers building spaced-repetition or flashcard tools.
Does srs-mcp have a free plan?: Yes — srs-mcp is open source under the MIT license and free to use.
What platforms does srs-mcp run on?: srs-mcp runs on the command line and API. It can also be self-hosted.
Is srs-mcp still maintained?: The GitHub repository shows 6 commits in the last 90 days.
Who develops srs-mcp?: srs-mcp is developed by klutometis.
When did srs-mcp launch?: srs-mcp first shipped in 2026.
Is srs-mcp open source?: Yes — srs-mcp is open source under the MIT license, developed on GitHub.

At a glance

Platforms: CLI
Languages: English
Open source: Yes · ★ 1
License: MIT
First seen: 1 Jul 2026
Built for: developers building spaced-repetition or flashcard tools
Model: Open source
Solves: Managing and reviewing spaced-repetition flashcards without relying on the Anki GUI.

Registered as

GitHub: klutometis/srs-mcp
PyPI: srs-mcp

Developer

klutometis

Solo developer

GitHub

Open source

View on GitHub

Stars: 1
Forks: 0
Open issues: 0
Last commit: 30 Jun 2026
Commits 90d: 6
Contributors: 1
Authorship: Solo
Default branch: main

Index record

Indexed: 1 Jul 2026
Lifecycle: Alive
First seen: Jul 2026
Last seen: 1 Jul 2026

Identity audit (12)

Slug: srs-mcp-pypi-org
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 1 Jul 2026
Timeline basis: Indexed-at chronology (no inferred launch/funding milestones).
Name from: Written by a language model from the project's public pages.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Canonical URL: https://pypi.org/project/srs-mcp

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