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Health: ActiveRecent health check succeeded.Last checked 10/14/2026, 5:31:06 PM

Caveat Lang

InstallableWe know how to install it, but have not yet seen it complete a handshake. User RatingsBe the first to rate and review this MCP server!
View Repository1 GitHub StarsTotal stargazers on GitHub for the source repository (1 stars).
decision-runtimerules-languagedeveloper-toolsevidence

Authoring bridge for validating, testing, explaining, and tracing dependencies in Caveat programs.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ€” or use 1-click editor setup below.

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Manual Client & Custom JSON ConfigExpand JSON โ–พ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "caveat-lang": {
      "command": "npx",
      "args": [
        "-y",
        "--no-install",
        "caveat-lang"
      ]
    }
  }
}

๐Ÿ’ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives๐Ÿ’ป More in Developer Tools

Overview

The caveat-lang MCP server bridges AI agents to Caveat programs and their decision records. It supports authoring workflows such as validation, checking, testing, explaining decisions, and finding dependents. Use it when an agent needs to inspect how evidence supports a computed value or decision. Caveat preserves decision grounds and can record why a decision was reopened when evidence changes.

Use cases

โ€ขValidate Caveat programs before execution
โ€ขTest authored policies against scenarios
โ€ขExplain decisions from recorded evidence
โ€ขFind values and decisions that depend on evidence

Key features

โ€ขValidate and check Caveat programs
โ€ขRun program tests and scenarios
โ€ขExplain decisions and computed values
โ€ขFind evidence dependents
โ€ขPreserve decision grounds during reconsideration

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Caveat Lang.

Extracted Tool Capabilities
Validate and check Caveat programs
Run program tests and scenarios
Explain decisions and computed values
Find evidence dependents
Preserve decision grounds during reconsideration

How Caveat Lang works

What caveat-lang MCP server does

The caveat-lang MCP server provides an authoring bridge for Caveat, an embeddable decision runtime with a small rules language. It is intended for agents and applications that need to work with Caveat programs rather than treat decisions as unexplained outputs.

Caveat carries evidence and its caveats through computations. A value derived from an observation retains the recorded grounds that support it. Decisions can be reconsidered when later evidence conflicts with an earlier result, while the original basis and the reason for reopening remain available.

The bridge covers the authoring tasks described for the package: validating programs, checking them, running tests, explaining decisions, and finding dependents. These operations help an agent inspect both whether a program is acceptable and how its results relate to recorded evidence.

How it works

Caveat programs express rules and policies in the Caveat language. Evidence is supplied to the runtime, which computes values and records the dependencies used by those computations. Explanations are checked against those recorded dependencies; an explanation that cites something outside a value's dependencies is rejected.

Decisions retain a journal of their grounds. When new knowledge changes a decision's status, Caveat can reopen it without removing the reasons behind the earlier choice. A later qualification can affect current values built from the evidence and future values that read it, while archived readings and decisions preserve what they previously knew.

The package also supports saved programs and restore operations. Source digests identify the source associated with a save, but they do not authenticate the save or its history.

Setup and configuration

The published preview is caveat-lang@0.1.0-rc.19 and requires Node 20 or later. A Rust installation is not needed. Install it in an otherwise empty directory with:

Terminal
npm init -y
npm install caveat-lang@0.1.0-rc.19

The package has no npm runtime dependencies. Its unambiguous CLI command is caveat-lang; caveat is also supported as a shorthand. The repository provides an agent quickstart and an official Python client for integrations.

Tools and capabilities

The caveat-lang MCP server is suited to workflows that need to:

  • Validate Caveat source before using it.
  • Check programs and run their scenarios.
  • Test programs against authored cases.
  • Explain computed values and decisions using recorded dependencies.
  • Find dependents of evidence or other program elements.
  • Inspect why a decision was reopened after evidence changed.

The command-line examples include caveat-lang test for a scenario file and caveat-lang explain for a program plus event data. caveat-lang doctor checks the installation, and caveat-lang demo agent demonstrates observation, assessment, correction, and revision.

Limitations and notes

The caveat-lang MCP server does not authenticate supplied evidence or authorize external actions. Hosts remain responsible for resource budgets. History windows do not bound save size, and restoring a save does not authenticate its history.

A refused operation is not completed, so an integrating host must inspect operation outcomes. The project describes its verification boundaries separately: formal model theorems, sampled native and WebAssembly conformance, mutation controls, and runtime tests do not prove the evidence itself is true or that every explanation is complete.

The current package is a 0.1.0 release candidate. The project identifies rc.19 as a feature-freeze candidate and notes that it fixes restoration for a session that reopened a decision because of a caveat and later withdrew that caveat.

Read the full README โ†’View source on GitHub โ†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks โ€” not a rating.

GitHub stars
1
Stargazers on the source repository.
npm downloads
3.8k
Package downloads in the last 30 days.
Last commit
1d ago
Most recent push to the default branch.

Reviews

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Frequently Asked Questions about Caveat Lang

caveat-lang is an MCP server that connects AI agents to the Caveat decision runtime and rules language. Its main authoring tools validate, check, and test programs, explain decisions, and find dependents. Caveat records evidence and decision grounds so agents can inspect why results were produced or reopened.

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Technical Specs & Signals

Category๐Ÿ’ปDeveloper Tools
More technical detailsExpand โ–พ
TransportSTDIO
RuntimeNode.js
LicenseMIT
Last updatedOct 14, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars1
GitHub Star CountTotal stargazers on GitHub representing community popularity (1 stars).
Last commit1d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Oct 12, 2026
npm downloads3,818/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
45Quality signal: Fair ยท 45/100How this signal is calculated โ–พ
Server availabilityNot measured

Not scored for repo-hosted servers โ€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools16/30
Adoption & activity8/15
Community engagement0/10

A guidance signal from public completeness & health data โ€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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