Learning sidebar for AI coding assistants: quizzes on your changes, debug memory, term explanations
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io.github.SunflowersLwtech/covate is an MCP server that learning sidebar for AI coding assistants: quizzes on your changes, debug memory, term explanations. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 43/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients - only the file and path differ.
{
"mcpServers": {
"covate": {
"command": "~/covate/covate/bin/covate"
}
}
}Are you the author?
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Learning sidebar for AI coding assistants: quizzes on your changes, debug memory, term explanations
This server supports HTTP transport. Be the first to test it - help the community know if it works.
Five weighted categories - click any category to see the underlying evidence.
No known CVEs.
No package registry to scan.
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A context-aware Model Context Protocol (MCP) server that acts as a learning sidecar for AI coding assistants. It helps developers learn from AI-generated code changes through interactive quizzes and provides agents with a persistent project-specific debugging memory.
| Resource | Description |
|---|---|
| Glama MCP Marketplace | Official MCP server listing with installation guides |
| DeepWiki Documentation | AI-generated deep analysis of the codebase |
| GitHub Repository | Source code, issues, and contributions |
| For | Benefit |
|---|---|
| Developers | Don't just accept AI code—understand it. Request a quiz to verify your grasp of the logic, security, or performance implications. |
| AI Agents | Stop solving the same bug twice. The server quietly records debugging solutions and retrieves them automatically when similar errors occur. |
The MCP server in this repo is free and open-source (MIT) — run it locally, no account required.
The optional hosted learning ledger is free too: sign in with
GitHub, then run COVATE_SYNC_URL=https://covate.org COVATE_SYNC_TOKEN=<your token> python -m covate.platform_sync from a project to push your local sessions up and review them in a browser:
Not built yet, so not promised: progress-over-time charts, spaced-repetition study plans, team accounts. There is no paid tier and nothing to buy — the MCP works fully without the ledger, and the ledger costs nothing.
covate review keeps a small local ledger of concepts and when to ask about them again. It
never talks to the network or to a model; your own agent writes the questions and publishes
the page (for example with the FoldRender command line).
covate review page questions.json -o page.html # questions -> a quiz page (answers marked)
foldrender publish page.html # your agent publishes it
foldrender answers <page> --json | covate review record # score the first answers
covate review due # what to ask about again today
covate review status # every concept + first-answer accuracy
Only the first pick on each question counts, so changing an answer after seeing the explanation cannot raise the score. (FoldRender shows the explanation during its few-second undo window, so an answer you take back inside that window does not count; one you leave alone does.) A new concep