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MCP Kinetic Gain

@mizcausevic-dev

代码仓库主页

关于 MCP Kinetic Gain

Unified MCP server for all 11 Kinetic Gain Protocol Suite specs + DefenseTech module (8 tools) — 71 callable tools (47 spec + 16 implementation + 8 DefenseTech). One Claude Desktop config entry. Stdio, no API key, no build step.

#governance#compliance#audit-stream#aeo-protocol#mcp-tool-cards#agent-cards#prompt-provenance#clinical-ai#student-ai#procurement#defensetech

基本信息

分类

AI 与智能体

许可证

AGPL-3.0

运行时

node

传输方式

stdio

发布者

mizcausevic-dev

提交者

Miz Causevic

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "kinetic-gain": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-kinetic-gain"
      ]
    }
  }
}

工具

50

Fetch the full AEO Protocol declaration at an origin's

Return a structured summary of an AEO declaration: entity

Extract a single AEO claim by ID

Compute the canonical AEO well-known URL for an origin

Validate a Prompt Provenance JSON document against the v0.1

Structured summary of a Prompt Provenance document: prompt

Extract a single evaluation suite's result from a Prompt

Compute the canonical Agent Card well-known URL for a given

Structured summary of an Agent Card document

Return the list of tools an agent declares, with side-effect

Validate an Agent Card JSON document against the v0.1 schema.

Validate an AI Evidence object against the v0.1 schema.

Structured summary of an AI Evidence object: claim text

Compute SHA-256 over the canonical UTF-8 form of

Compute the canonical MCP Tool Card well-known URL

Structured summary of an MCP Tool Card: tool identity, safety

Return the tested-LLM entries for a tool, optionally filtered

Validate an MCP Tool Card JSON document against the v0.1

Compute the canonical AI Tutor Card well-known URL

Fetch a Tutor Card from a URL

Validate an AI Tutor Card JSON document against the v0.1

Structured summary of a Tutor Card: tutor identity, audience

Classify a topic against the tutor's subject scope

Enforce the spec's COPPA conditional rule: if

Validate a Student AI Disclosure JSON document against the

Structured summary of a Student AI Disclosure: assignment

Recompute SHA-256 over a candidate artifact and compare to

Verify a single prompt hash in a hashed-mode disclosure

Surface the disclosure's policy posture: whether an aup_uri

Compute the canonical Classroom AI AUP well-known URL

Fetch a Classroom AI AUP from a URL

Validate a Classroom AI AUP JSON document against the v0.1

Structured summary of a Classroom AI AUP: policy identity

HEADLINE TOOL, joins an AUP with a Student AI Disclosure and

Compute the canonical Clinical AI Card well-known URL

Fetch a Clinical AI Card from a URL

Validate a Clinical AI Card JSON document against the v0.1

Structured summary of a Clinical AI Card: system identity

Compute the canonical AI Incident Card well-known URL

Fetch an AI Incident Card from a URL

Validate an AI Incident Card JSON document against the v0.1

Structured summary of an AI Incident Card: incident identity

HEADLINE TOOL, fetch a vendor's

Compute the canonical AI Procurement Decision Card well-known

Fetch an AI Procurement Decision Card from a URL

Validate an AI Procurement Decision Card JSON document

Structured summary of an AI Procurement Decision Card: buyer

Given a rubric, infer the right decision.status

Translate a Decision Card into the PolicyBundle that

Structural check on a Decision Card's signatures[] block

概览

What is MCP Kinetic Gain?

MCP Kinetic Gain is a single MCP server that exposes 75 tools covering all twelve specs of the Kinetic Gain Protocol Suite plus DefenseTech implementation tooling. Designed for agents in MCP-compatible clients (Claude Desktop, Cursor, etc.), it enables validation, inspection, and cross-spec workflows for governance and compliance documents.

How to use MCP Kinetic Gain?

Install globally via npm install -g mcp-kinetic-gain or run without installing via npx mcp-kinetic-gain. Add a single entry to your client’s MCP server config (e.g., claude_desktop_config.json) with command npx -y mcp-kinetic-gain. The server also doubles as a CLI validator for Suite files using npx mcp-kinetic-gain validate <path>.

Key features of MCP Kinetic Gain

  • 75 tools across 12 Kinetic Gain Suite specs
  • Hash attestation (ed25519) and audit-stream chain verification
  • Cross-spec drift detection between document versions
  • DefenseTech vault resolver and invariant checkers
  • AI Claims Decision Card (InsurTech) support
  • CLI mode for CI/pre-commit validation

Use cases of MCP Kinetic Gain

  • Validate an AEO declaration and inspect entity claims
  • Check a Student AI Disclosure against its classroom AI AUP for compliance
  • Verify an AI Evidence hash against a candidate text
  • Fetch and inspect an Agent Card or Tool Card via its well-known URL
  • Audit an incident chain by walking events and verifying signatures

FAQ from MCP Kinetic Gain

Why one server instead of five separate ones?

A single config entry avoids managing multiple servers, enables atomic cross-spec workflows, shares schemas, and provides a deprecation path for predecessor servers.

How do I install the server?

Install globally via npm install -g mcp-kinetic-gain or run ephemerally with npx mcp-kinetic-gain. The README also shows a Claude Desktop config using npx -y.

Which specs are supported?

All twelve: AEO Protocol, Prompt Provenance, Agent Cards, AI Evidence Format, MCP Tool Cards, AI Tutor Cards, Student AI Disclosure, Classroom AI AUP, Clinical AI Disclosure, AI Incident Card, AI Procurement Decision Card, and AI Claims Decision Card.

Can I use the tools outside an MCP client?

Yes. The same binary offers a CLI mode: npx mcp-kinetic-gain validate <file> auto-detects the spec and validates against the zod schemas. It also supports globs and GitHub Actions annotations.

What is the license?

The server code is AGPL-3.0 (reference implementation; commercial SaaS hosts must share modifications). The specs themselves are MIT.

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