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PopNx MCPMCP servers for people who use AI · explained in plain words

MCP Kinetic Gain

by mizcausevic-devversion 0.10.0i★ 0iRuns on your computer
Registry nameio.github.mizcausevic-dev/mcp-kinetic-gain

How to install

What it does

75-tool MCP server for 12 Kinetic Gain specs and DefenseTech checks.

  • Connects Runs on your computer
  • Account or key No key needed
  • Category Other

Install

Pick the AI app you use, then copy the settings.

Passed 3/3 checks · Runs on your computer · ✓ Commands checked Nov 14, 2026

First: which AI do you use?

Pick your app and the steps appear below.

Works with Claude, with some setup first

Install Node.js on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone

  1. Install Node.js

    One time only; it works for every server that needs Node.js

    Open the Node.js download page ↗

  2. Open the Claude desktop app’s settings file

    SettingsDeveloperEdit Config

  3. Paste these settings and save the file

    {
      "mcpServers": {
        "kinetic-gain": {
          "command": "npx",
          "args": [
            "-y",
            "mcp-kinetic-gain"
          ]
        }
      }
    }
  4. Quit Claude and open it again

  5. Try it

    Use MCP Kinetic Gain and tell me what you can do for me, then show me one thing

    ✓ If Claude says it is using MCP Kinetic Gain or shows a MCP Kinetic Gain tool in the answer, you are connected

2 optional setting(s) (works without them)

The command above works without these. Add them only if you want to change something, following the maker’s description.

  • AUDIT_STREAM_URL Optional HTTPS URL (or loopback HTTP URL) of an audit-stream-py instance. Live tools also require AUDIT_STREAM_TOKEN.
  • AUDIT_STREAM_TOKEN Bearer token for optional live audit-stream tools; at least 32 visible ASCII characters. Configure through a local secret source.

Descriptions are as written by the maker.

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

ChatGPT cannot connect MCP Kinetic Gain yet

MCP Kinetic Gain runs on your computer, but ChatGPT can only connect servers that run on the web

What you can do instead

A · Use an app that can connect MCP Kinetic Gain

  • Install Node.js on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
  • Install Node.js on your computer first (one time)
  • Install Node.js on your computer first (one time)
  • Install Node.js on your computer first (one time)

B · Others in Other that work with ChatGPT

Picked from the most used in the same category, only ones that connect by address with no key

Works with Claude Code, with some setup first

Install Node.js on your computer first (one time)

  1. Install Node.js

    One time only; it works for every server that needs Node.js

    Open the Node.js download page ↗

  2. Open Terminal

    Mac: press Command+Space and type Terminal · Windows: open PowerShell

  3. Paste this command and press Enter

    claude mcp add --scope user kinetic-gain -- npx -y mcp-kinetic-gain
  4. Type /mcp in Claude Code

    You should see MCP Kinetic Gain listed as connected

  5. Try it

    Use MCP Kinetic Gain and tell me what you can do for me, then show me one thing

    ✓ If Claude Code says it is using MCP Kinetic Gain or shows a MCP Kinetic Gain tool in the answer, you are connected

2 optional setting(s) (works without them)

The command above works without these. Add them only if you want to change something, following the maker’s description.

  • AUDIT_STREAM_URL Optional HTTPS URL (or loopback HTTP URL) of an audit-stream-py instance. Live tools also require AUDIT_STREAM_TOKEN.
  • AUDIT_STREAM_TOKEN Bearer token for optional live audit-stream tools; at least 32 visible ASCII characters. Configure through a local secret source.

Descriptions are as written by the maker.

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with Cursor, with some setup first

Install Node.js on your computer first (one time)

  1. Install Node.js

    One time only; it works for every server that needs Node.js

    Open the Node.js download page ↗

  2. Click this button to open Cursor

    Open in Cursor

    Cursor asks you to confirm; click Install

  3. Open the AI chat in Cursor in Agent mode

  4. Try it

    Use MCP Kinetic Gain and tell me what you can do for me, then show me one thing

    ✓ If Cursor says it is using MCP Kinetic Gain or shows a MCP Kinetic Gain tool in the answer, you are connected

2 optional setting(s) (works without them)

The command above works without these. Add them only if you want to change something, following the maker’s description.

  • AUDIT_STREAM_URL Optional HTTPS URL (or loopback HTTP URL) of an audit-stream-py instance. Live tools also require AUDIT_STREAM_TOKEN.
  • AUDIT_STREAM_TOKEN Bearer token for optional live audit-stream tools; at least 32 visible ASCII characters. Configure through a local secret source.

Descriptions are as written by the maker.

Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with VS Code, with some setup first

Install Node.js on your computer first (one time)

  1. Install Node.js

    One time only; it works for every server that needs Node.js

    Open the Node.js download page ↗

  2. Click this button to open VS Code

    Open in VS Code

    VS Code asks you to confirm; click Install

  3. Open the AI chat in VS Code in Agent mode

  4. Try it

    Use MCP Kinetic Gain and tell me what you can do for me, then show me one thing

    ✓ If VS Code says it is using MCP Kinetic Gain or shows a MCP Kinetic Gain tool in the answer, you are connected

2 optional setting(s) (works without them)

The command above works without these. Add them only if you want to change something, following the maker’s description.

  • AUDIT_STREAM_URL Optional HTTPS URL (or loopback HTTP URL) of an audit-stream-py instance. Live tools also require AUDIT_STREAM_TOKEN.
  • AUDIT_STREAM_TOKEN Bearer token for optional live audit-stream tools; at least 32 visible ASCII characters. Configure through a local secret source.

Descriptions are as written by the maker.

Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.

See every app that uses MCP →

JSON settings are under “For developers” below

Stuck? Ask people who use MCP Kinetic Gain💬 Discussion →
For developers: Terminal commands and JSON settings

Installed on your computer

Claude Code

claude mcp add --scope user kinetic-gain -- npx -y mcp-kinetic-gain

Claude Desktop (claude_desktop_config.json)

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

Cursor (~/.cursor/mcp.json)

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

VS Code (mcp.json)

{
  "servers": {
    "kinetic-gain": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "mcp-kinetic-gain"
      ]
    }
  }
}

Values you fill in

  • AUDIT_STREAM_URL env
    Optional HTTPS URL (or loopback HTTP URL) of an audit-stream-py instance. Live tools also require AUDIT_STREAM_TOKEN.
  • AUDIT_STREAM_TOKEN secret env
    Bearer token for optional live audit-stream tools; at least 32 visible ASCII characters. Configure through a local secret source.

Descriptions are as written by the maker.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

At a glance

Downloads per weeki
109/wk
Licencei
AGPL-3.0
Connection
Runs on your computer
Latest versioni
0.10.0
Categoryi
Other
Published to registryi
Oct 9, 2026
Code last changedi
Nov 1, 2026
Maker
mizcausevic-dev
Packages
npm: mcp-kinetic-gain
Registry status
Active

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Run on your computer in

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast

All apps, with pros and cons →

Related guides

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 14, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account mizcausevic-dev, which owns the repo

  • ✓ Pass

    Still maintained

    Code last changed 13 days ago

  • ✓ Pass

    Has a licence

    Uses AGPL-3.0

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Discussion

Ask, share a tip or report that it does not work. Sorted by what people marked helpful.

No posts yet. Be the first to ask or share.

Posts here are written by users, not the PopNx team.

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User reviews

No reviews yet

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Compared with others in Otheri

  • More stars than 0% of the other 19732 servers in this category
  • Published to the registry more recently than 55% of the other 19732 servers in this category
  • Basic checks equal to or better than 100% of the other 19732 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is MCP Kinetic Gain safe?

It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed 13 days ago, and the latest version (0.10.0) reached the registry 36 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: World Monitor, Claude Flow, Windmill

Others in the same category

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

World Monitor

Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 97 tools.

by koala73Widely used★ 90.6KUpdated yesterday

Runs in the cloud✓ service owner · worldmonitor.app

Claude Flow

AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.

by ruvnetWidely used↓ 13.5K/wk★ 81.6KUpdated 14 months ago

Runs on your computer

Windmill

Run Windmill scripts and flows and manage jobs, schedules, resources and variables.

by windmill-labsWidely used★ 18.6KUpdated 2 days ago

Runs in the cloud

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

mcp-kinetic-gain

One MCP server, all twelve Kinetic Gain Protocol Suite specs + the v0.1.0 implementation tooling + the DefenseTech 6-pack semantics (8 tools). Drop into Claude Desktop, Cursor, or any MCP-compatible client with a single config entry. The agent gains 75 tools (47 spec + 16 implementation-preview + 8 DefenseTech + 4 AI Claims Decision Card, v0.9.0): 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, AI Claims Decision Card - plus hash attestation (ed25519), audit-stream event composition + chain verification (offline AND live against a running audit-stream-py via AUDIT_STREAM_URL), cross-spec drift detection, Decision Intelligence preview, and the DefenseTech vault resolver + invariant checkers. New in v0.9.0: the AI Claims Decision Card (InsurTech, claims_card_version) - claims_card_validate, claims_card_inspect, claims_card_sign, claims_card_chain.

This is the agent-facing companion to kinetic-gain-visualizer: the visualizer renders the specs for humans, while this server exposes validation and workflow tools for agents. The optional audit_event_emit tool sends an event to a configured audit-stream service.

Tools

75 tools

  • aeo_fetch - Fetch the full AEO Protocol declaration at an origin's
  • aeo_inspect - Return a structured summary of an AEO declaration: entity
  • aeo_get_claim - Extract a single AEO claim by ID
  • aeo_well_known_url - Compute the canonical AEO well-known URL for an origin
  • prompt_provenance_validate - Validate a Prompt Provenance JSON document against the v0.1
  • prompt_provenance_inspect - Structured summary of a Prompt Provenance document: prompt
  • prompt_provenance_eval_result - Extract a single evaluation suite's result from a Prompt
  • agent_card_well_known_url - Compute the canonical Agent Card well-known URL for a given
  • agent_card_inspect - Structured summary of an Agent Card document
  • agent_card_tool_disclosure - Return the list of tools an agent declares, with side-effect
  • agent_card_validate - Validate an Agent Card JSON document against the v0.1 schema.
  • ai_evidence_validate - Validate an AI Evidence object against the v0.1 schema.
  • ai_evidence_inspect - Structured summary of an AI Evidence object: claim text
  • ai_evidence_verify_hash - Compute SHA-256 over the canonical UTF-8 form of
  • tool_card_well_known_url - Compute the canonical MCP Tool Card well-known URL
  • tool_card_inspect - Structured summary of an MCP Tool Card: tool identity, safety
  • tool_card_tested_with - Return the tested-LLM entries for a tool, optionally filtered
  • tool_card_validate - Validate an MCP Tool Card JSON document against the v0.1
  • tutor_card_well_known_url - Compute the canonical AI Tutor Card well-known URL
  • tutor_card_fetch - Fetch a Tutor Card from a URL
  • tutor_card_validate - Validate an AI Tutor Card JSON document against the v0.1
  • tutor_card_inspect - Structured summary of a Tutor Card: tutor identity, audience
  • tutor_card_subject_check - Classify a topic against the tutor's subject scope
  • tutor_card_coppa_check - Enforce the spec's COPPA conditional rule: if
  • disclosure_validate - Validate a Student AI Disclosure JSON document against the
  • disclosure_inspect - Structured summary of a Student AI Disclosure: assignment
  • disclosure_verify_artifact_hash - Recompute SHA-256 over a candidate artifact and compare to
  • disclosure_verify_prompt_hash - Verify a single prompt hash in a hashed-mode disclosure
  • disclosure_aup_check - Surface the disclosure's declared policy posture and any
  • aup_well_known_url - Compute the canonical Classroom AI AUP well-known URL
  • aup_fetch - Fetch a Classroom AI AUP from a URL
  • aup_validate - Validate a Classroom AI AUP JSON document against the v0.1
  • aup_inspect - Structured summary of a Classroom AI AUP: policy identity
  • aup_check_compliance - Compare an AUP with a Student AI Disclosure on eight declared
  • clinical_ai_well_known_url - Compute the canonical Clinical AI Card well-known URL
  • clinical_ai_fetch - Fetch a Clinical AI Card from a URL
  • clinical_ai_validate - Validate a Clinical AI Card JSON document against the v0.1
  • clinical_ai_inspect - Structured summary of a Clinical AI Card: system identity
  • incident_well_known_url - Compute the canonical AI Incident Card well-known URL
  • incident_fetch - Fetch an AI Incident Card from a URL
  • incident_validate - Validate an AI Incident Card JSON document against the v0.1
  • incident_inspect - Structured summary of an AI Incident Card: incident identity
  • incident_index_fetch - HEADLINE TOOL, fetch a vendor's
  • decision_card_well_known_url - Compute the canonical AI Procurement Decision Card well-known
  • decision_card_fetch - Fetch an AI Procurement Decision Card from a URL
  • decision_card_validate - Validate an AI Procurement Decision Card JSON document
  • decision_card_inspect - Structured summary of an AI Procurement Decision Card: buyer
  • decision_card_infer_status - Validate each rubric row, then infer a preview decision.status
  • decision_card_to_policy_bundle - Read-only deny preview for rejected, withdrawn, expired, or
  • decision_card_signature_check - Structural check on a Decision Card's signatures[] block
  • incident_affected_walk - Walk an Incident Card's affected block and return every
  • incident_remediation_plan - Map each affected URI in an Incident Card to a recommended
  • attestation_canonical_hash - Compute the SHA-256 canonical-JSON hash of an arbitrary value
  • attestation_verify - Verify an ed25519 Attestation envelope against a body and
  • attestation_inspect - Pretty-print an Attestation envelope with structural
  • audit_event_compose - Build a ready-to-POST audit-stream-py GovernanceEvent
  • audit_chain_verify - Walk an array of GovernanceEvents top-to-bottom and verify
  • audit_event_inspect - Pretty-print one GovernanceEvent with structural validation
  • audit_event_emit - POSTs a governance event to the audit-stream-py instance
  • audit_events_query - GET recent governance events from a running audit-stream-py
  • audit_chain_verify_live - Ask the configured audit-stream service to check its full
  • suite_doc_detect_spec - Detect which Kinetic Gain Suite spec a JSON document is by
  • suite_doc_drift - Structural diff between two versions of the same Suite
  • defensetech_vault_resolve_3axis - Deterministic preview of a DefenseTech 3-axis vault contract
  • defensetech_audit_event_check_invariants - Run three deterministic DefenseTech event checks: CUI
  • defensetech_check_dfars_72h_clock - Calculate the DFARS 252.204-7012 discovery-to-filing 72-hour
  • defensetech_check_cui_distribution_statement - Check that a CUI-Specified+ tier event carries the required
  • defensetech_check_itar_us_person - Check that an ITAR resource event has US-PERSON-VERIFIED (or
  • defensetech_incident_classify_event_type - Given a freeform description of a defense-AI incident
  • defensetech_summarize_cmmc_evidence_bundle - Summarize a CMMC L2/L3 readiness evidence bundle: target
  • defensetech_vault_contract_cross_binding_check - Verify the cross_binding_refs block on a DefenseTech vault
  • claims_card_validate - Validate an AI Claims Decision Card against the bundled v0.1
  • claims_card_inspect - Structured summary of an AI Claims Decision Card: claim type
  • claims_card_sign - Compute the canonical SHA-256 hash of an AI Claims Decision
  • claims_card_chain - Link a new AI Claims Decision Card to its predecessor: sets

Specs with a well-known URL convention (AEO, Agent Cards, Tool Cards) get fetch tools. Specs without one (Prompt Provenance, AI Evidence - these usually travel inline with answers or in repos, not at fixed paths) get parse tools that take a document_json string.

Network and data boundaries

URL fetch tools make outbound HTTP(S) requests to user-supplied origins. The server rejects local and nonpublic destinations, rechecks redirects, and limits JSON responses to 1 MB. The optional live audit tools require both AUDIT_STREAM_URL and AUDIT_STREAM_TOKEN in the MCP server's environment. The token must match the audit-stream service's bearer token and have at least 32 visible ASCII characters. Use HTTPS for a remote service; HTTP is accepted only for loopback development. Missing or invalid configuration returns an error without sending a request. audit_event_emit sends kind, caller-asserted source, and payload to the configured service and validates its event receipt. The receipt does not prove durable storage or event completeness. Its shared token authenticates this MCP process, not the source label or tenant. Approve the write before calling it; omit secrets and personal data unless the service is approved for them. Hash-chain verification checks continuity only; it does not prove audit completeness.

Schema validation checks the document shape and selected rules. A passing result is not proof of FERPA, COPPA, HIPAA, FDA, EU AI Act, CMMC, export-control status, or other legal compliance. attestation_verify checks a signature against the public key supplied by the caller; it does not establish the key owner's identity. aup_check_compliance evaluates eight disclosed fields only; it does not check policy scope, tool/vendor requirements, parent consent, or Tutor Cards. A true allowed value is not an authorization grant. DefenseTech tools calculate from supplied data; they do not classify materials or verify a person's status or license. Positive Decision Cards require the live policy engine's identity, scope, action, expiry, and trusted-attestation checks before an enforceable bundle can be created.

The DefenseTech 72-hour clock uses the time an incident was discovered, not when it occurred or when an audit event was created. Supply discovered_at and filed_at with time zones; see DFARS 252.204-7012. A report's actual submission and contract applicability require external evidence.

Start with a task

  • Review a card: pass a parsed document to claims_card_validate, then use claims_card_inspect to summarize its declared decision. Investigate any validation failure before relying on the summary.
  • Compare drafts: call suite_doc_drift with two versions of the same Suite document to see structural changes before publication.
  • Check a signature: call attestation_verify with a public key obtained through a trusted channel; separately confirm that the key belongs to the claimed signer.
  • Record an event: prepare the payload with audit_event_compose, review it for sensitive data, then call audit_event_emit only when the configured audit-stream service and write are approved.

Install

The commands below install the version currently published on npm. To run this source checkout instead, use npm ci, npm run build, then node dist/server.js. Check npm view mcp-kinetic-gain version before relying on a particular source change.

npm install -g mcp-kinetic-gain

Or run without installing via npx:

npx mcp-kinetic-gain

For a controlled deployment, pin a reviewed package version in the client config (mcp-kinetic-gain@ ) and upgrade deliberately.

Claude Desktop config

Add to your claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\):

{

"mcpServers": { "kinetic-gain"

Only the beginning is shown; read the rest in the repo