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Twiceshy MCP Server

@dotts-h

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Basic information

Category

Other

License

AGPL-3.0

Transports

stdio

Author

dotts-h

Submitted by

Horia C. Rădulescu

About Twiceshy MCP Server

Once bitten, twice shy — a shared memory of validated engineering traps, dead-ends and fixes for coding agents, served over MCP. AGPL-3.0.

Twiceshy MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "twiceshy": {
      "type": "streamable-http",
      "url": "https://api.twiceshy.app",
      "headers": {
        "Authorization": "Bearer tok_YOUR_TOKEN_FROM_twiceshy.app"
      }
    }
  }
}

Twiceshy MCP Server tools

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Overview

What is Twiceshy?

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. It operates like a private, curated, validated StackOverflow that injects itself at the right moment.

How to use Twiceshy?

Use the hosted instance at twiceshy.app with the remote MCP endpoint https://api.twiceshy.app/, or self‑host following the development instructions (make ci). Interact via MCP tools: search_experience, get_experience (read path) and record_experience (propose‑only write path).

Key features of Twiceshy

  • Git‑backed markdown experience records with YAML frontmatter.
  • Derived SQLite index with FTS5 (dense retrieval planned).
  • Multi‑stage retrieval: fingerprint‑exact → BM25 → dense, with relevance floor and hard cap of 3 results.
  • Two channels: push (Claude Code hooks) and pull (MCP tools over streamable HTTP).
  • Trust model: agent‑proposed records quarantined, promoted only after sandbox validation and human PR review.
  • Background “doctors” for dedup, staleness, repro re‑execution, decay, and abstraction.

Use cases of Twiceshy

  • Prevent an agent from re‑introducing a known bug or deprecated API.
  • Inject verified workarounds for third‑party issues at decision time.
  • Record and propagate root‑cause analyses across a team.
  • Capture validated fixes so future agents skip dead‑end investigations.
  • Automatically quarantine untested proposals until they pass human review.

Frequently asked questions

1

What retrieval stages does Twiceshy use?

Retrieval follows a cascade: fingerprint‑exact → BM25 → dense (RRF), with stack‑fingerprint filtering and a relevance floor. At most 3 results are injected; below the floor nothing is injected.

2

How does Twiceshy ensure experience records are trustworthy?

Agent‑proposed records are quarantined. Promotion requires a sandbox fail‑to‑pass validation and a human‑reviewed pull request. A new record *is* a PR.

3

What is the license?

The Twiceshy engine is AGPL‑3.0‑only. Contributions require a signed CLA, and the corpus has a separate licensing strategy (see [ADR‑0002](docs/adr/ADR‑0002‑licensing‑strategy.md)).

4

What is the current status of development?

Bootstrapping. Phase 1 (read path: parser/validator, FTS5 index, fingerprint + lexical search, MCP `search_experience`/`get_experience`) is complete. Phase 3 write path (`record_experience` – propose‑only) has landed. Remaining phases (hooks push channel, dense retrieval, doctors) are tracked as issues.

Comments

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