Why this fit
Teams evaluating AI models, assistants and generative workflows, particularly AI agents that connect over MCP — source available on GitHub.
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Catalogue record
github.com
tnl
📇 🏠 🍎 🪟 🐧 - MCP server for TNL (Typed Natural Language): per-feature English contracts for AI coding agents. 6 tools — getimpactedtnls, re...
Checked Oct 27, 2026Evidence completeness: evidenceREADME refreshed Oct 16, 2026
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📇 🏠 🍎 🪟 🐧 - MCP server for TNL (Typed Natural Language): per-feature English contracts for AI coding agents. 6 tools — getimpactedtnls, retrievetnl, trace, proposetnldiff, approvetnldiff, verify — let agents look up relevant contracts, propose contract edits, and verify implementations against them. Drop-in via npx typed-nl init for Claude Code, Codex, Gemini.
Best for
Teams evaluating AI models, assistants and generative workflows, particularly AI agents that connect over MCP — source available on GitHub.
Known limitations
Workflows that require fully deterministic, auditable outputs with no human review step.
Verify current plan terms with the provider.
Evidence summary
Known limitations
Workflows that require fully deterministic, auditable outputs with no human review step.
Catalogue confidence
Catalogue data checked Oct 27, 2026.
GitHub-backed record with source-attributed context.
Repository context
TNL — Typed Natural Language
GitHub / janaraj/tnl
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- Catalogue updated Oct 27, 2026
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