Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者による説明(英語の原文)
75-tool MCP server for 12 Kinetic Gain specs and DefenseTech checks.
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
AUDIT_STREAM_URL, AUDIT_STREAM_TOKEN「秘密」と表示された値は、あなたのアカウントの鍵です。絶対に人に教えたり、チャットに貼り付けたりしないでください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"kinetic-gain": {
"command": "npx",
"args": [
"-y",
"mcp-kinetic-gain"
],
"env": {
"AUDIT_STREAM_URL": "your-value",
"AUDIT_STREAM_TOKEN": "your-value"
}
}
}
}ターミナルでこれを実行します
claude mcp add kinetic-gain --env AUDIT_STREAM_URL=your-value --env AUDIT_STREAM_TOKEN=your-value -- npx -y mcp-kinetic-gain動かす前に、空欄の値を入力してください。
プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"kinetic-gain": {
"command": "npx",
"args": [
"-y",
"mcp-kinetic-gain"
],
"env": {
"AUDIT_STREAM_URL": "your-value",
"AUDIT_STREAM_TOKEN": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"kinetic-gain": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"mcp-kinetic-gain"
],
"env": {
"AUDIT_STREAM_URL": "your-value",
"AUDIT_STREAM_TOKEN": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
AUDIT_STREAM_URL envこの設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月9日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント mizcausevic-dev で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
入力が必要なもの:AUDIT_STREAM_TOKEN
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(0.10.0)がレジストリに届いたのは31 日前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにNode.jsも必要です。
同じカテゴリには:Spec Driven Development, Remote Desktop Commander, Mcphost
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:↓ 週あたりのダウンロードi★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Hosted MCP runtime where your agent publishes its own tools by tool call and keeps working.
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
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.
75 tools
aeo_fetch - Fetch the full AEO Protocol declaration at an origin'saeo_inspect - Return a structured summary of an AEO declaration: entityaeo_get_claim - Extract a single AEO claim by IDaeo_well_known_url - Compute the canonical AEO well-known URL for an originprompt_provenance_validate - Validate a Prompt Provenance JSON document against the v0.1prompt_provenance_inspect - Structured summary of a Prompt Provenance document: promptprompt_provenance_eval_result - Extract a single evaluation suite's result from a Promptagent_card_well_known_url - Compute the canonical Agent Card well-known URL for a givenagent_card_inspect - Structured summary of an Agent Card documentagent_card_tool_disclosure - Return the list of tools an agent declares, with side-effectagent_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 textai_evidence_verify_hash - Compute SHA-256 over the canonical UTF-8 form oftool_card_well_known_url - Compute the canonical MCP Tool Card well-known URLtool_card_inspect - Structured summary of an MCP Tool Card: tool identity, safetytool_card_tested_with - Return the tested-LLM entries for a tool, optionally filteredtool_card_validate - Validate an MCP Tool Card JSON document against the v0.1tutor_card_well_known_url - Compute the canonical AI Tutor Card well-known URLtutor_card_fetch - Fetch a Tutor Card from a URLtutor_card_validate - Validate an AI Tutor Card JSON document against the v0.1tutor_card_inspect - Structured summary of a Tutor Card: tutor identity, audiencetutor_card_subject_check - Classify a topic against the tutor's subject scopetutor_card_coppa_check - Enforce the spec's COPPA conditional rule: ifdisclosure_validate - Validate a Student AI Disclosure JSON document against thedisclosure_inspect - Structured summary of a Student AI Disclosure: assignmentdisclosure_verify_artifact_hash - Recompute SHA-256 over a candidate artifact and compare todisclosure_verify_prompt_hash - Verify a single prompt hash in a hashed-mode disclosuredisclosure_aup_check - Surface the disclosure's declared policy posture and anyaup_well_known_url - Compute the canonical Classroom AI AUP well-known URLaup_fetch - Fetch a Classroom AI AUP from a URLaup_validate - Validate a Classroom AI AUP JSON document against the v0.1aup_inspect - Structured summary of a Classroom AI AUP: policy identityaup_check_compliance - Compare an AUP with a Student AI Disclosure on eight declaredclinical_ai_well_known_url - Compute the canonical Clinical AI Card well-known URLclinical_ai_fetch - Fetch a Clinical AI Card from a URLclinical_ai_validate - Validate a Clinical AI Card JSON document against the v0.1clinical_ai_inspect - Structured summary of a Clinical AI Card: system identityincident_well_known_url - Compute the canonical AI Incident Card well-known URLincident_fetch - Fetch an AI Incident Card from a URLincident_validate - Validate an AI Incident Card JSON document against the v0.1incident_inspect - Structured summary of an AI Incident Card: incident identityincident_index_fetch - HEADLINE TOOL, fetch a vendor'sdecision_card_well_known_url - Compute the canonical AI Procurement Decision Card well-knowndecision_card_fetch - Fetch an AI Procurement Decision Card from a URLdecision_card_validate - Validate an AI Procurement Decision Card JSON documentdecision_card_inspect - Structured summary of an AI Procurement Decision Card: buyerdecision_card_infer_status - Validate each rubric row, then infer a preview decision.statusdecision_card_to_policy_bundle - Read-only deny preview for rejected, withdrawn, expired, ordecision_card_signature_check - Structural check on a Decision Card's signatures[] blockincident_affected_walk - Walk an Incident Card's affected block and return everyincident_remediation_plan - Map each affected URI in an Incident Card to a recommendedattestation_canonical_hash - Compute the SHA-256 canonical-JSON hash of an arbitrary valueattestation_verify - Verify an ed25519 Attestation envelope against a body andattestation_inspect - Pretty-print an Attestation envelope with structuralaudit_event_compose - Build a ready-to-POST audit-stream-py GovernanceEventaudit_chain_verify - Walk an array of GovernanceEvents top-to-bottom and verifyaudit_event_inspect - Pretty-print one GovernanceEvent with structural validationaudit_event_emit - POSTs a governance event to the audit-stream-py instanceaudit_events_query - GET recent governance events from a running audit-stream-pyaudit_chain_verify_live - Ask the configured audit-stream service to check its fullsuite_doc_detect_spec - Detect which Kinetic Gain Suite spec a JSON document is bysuite_doc_drift - Structural diff between two versions of the same Suitedefensetech_vault_resolve_3axis - Deterministic preview of a DefenseTech 3-axis vault contractdefensetech_audit_event_check_invariants - Run three deterministic DefenseTech event checks: CUIdefensetech_check_dfars_72h_clock - Calculate the DFARS 252.204-7012 discovery-to-filing 72-hourdefensetech_check_cui_distribution_statement - Check that a CUI-Specified+ tier event carries the requireddefensetech_check_itar_us_person - Check that an ITAR resource event has US-PERSON-VERIFIED (ordefensetech_incident_classify_event_type - Given a freeform description of a defense-AI incidentdefensetech_summarize_cmmc_evidence_bundle - Summarize a CMMC L2/L3 readiness evidence bundle: targetdefensetech_vault_contract_cross_binding_check - Verify the cross_binding_refs block on a DefenseTech vaultclaims_card_validate - Validate an AI Claims Decision Card against the bundled v0.1claims_card_inspect - Structured summary of an AI Claims Decision Card: claim typeclaims_card_sign - Compute the canonical SHA-256 hash of an AI Claims Decisionclaims_card_chain - Link a new AI Claims Decision Card to its predecessor: setsSpecs 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.
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.
claims_card_validate, then use claims_card_inspect to summarize its declared decision. Investigate any validation failure before relying on the summary.suite_doc_drift with two versions of the same Suite document to see structural changes before publication.attestation_verify with a public key obtained through a trusted channel; separately confirm that the key belongs to the claimed signer.audit_event_compose, review it for sensitive data, then call audit_event_emit only when the configured audit-stream service and write are approved.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.
Add to your claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\):
{
"mcpServers": { "kinetic-gain"
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