Server data from the Official MCP Registry
Experience memory for coding agents: validated traps, fixes and dead-ends at decision time.
Experience memory for coding agents: validated traps, fixes and dead-ends at decision time.
Remote endpoints: streamable-http: https://api.twiceshy.app
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
Endpoint verified · Requires authentication · 1 issue found
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Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"app-twiceshy-twiceshy": {
"url": "https://api.twiceshy.app"
}
}
}From the project's GitHub README.
Once bitten, twice shy.
A self-hosted service that feeds hard-won engineering experience — issues, dead-ends, root causes, validated fixes — to LLM coding agents at decision time, so they stop repeating known mistakes on autopilot. A private, curated, validated StackOverflow that injects itself at the right moment.
The hosted instance runs at twiceshy.app — self-serve
tokens, remote MCP endpoint https://api.twiceshy.app/. External
contributions require a signed CLA before merge
(ADR-0002).
twiceshy-corpus,
ADR-0021); the engine
ships a small frozen fixture (internal/testcorpus/) for tests.Full rationale: docs/research/EXPERIENCE_SERVICE_RESEARCH.md and docs/adr/ADR-0001-architecture.md.
Bootstrapping. Phase 1 (read path: parser/validator, FTS5 index,
fingerprint + lexical search, MCP search_experience/get_experience) is
done, and the Phase 3 write path (record_experience — propose-only,
returns a quarantined draft to open as a PR) has landed. Remaining phases
(hooks push channel, dense retrieval, doctors) are tracked as issues.
make ci # lint + race tests + coverage floor — what CI runs
See docs/CONVENTIONS.md and docs/CONTEXT.md first.
AGPL-3.0-only. Contribution and corpus licensing: docs/adr/ADR-0002-licensing-strategy.md.
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