Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
75-tool MCP server for 12 Kinetic Gain specs and DefenseTech checks.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
AUDIT_STREAM_URL, AUDIT_STREAM_TOKEN비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"kinetic-gain": {
"command": "npx",
"args": [
"-y",
"mcp-kinetic-gain"
],
"env": {
"AUDIT_STREAM_URL": "your-value",
"AUDIT_STREAM_TOKEN": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add kinetic-gain --env AUDIT_STREAM_URL=your-value --env AUDIT_STREAM_TOKEN=your-value -- npx -y mcp-kinetic-gain실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"kinetic-gain": {
"command": "npx",
"args": [
"-y",
"mcp-kinetic-gain"
],
"env": {
"AUDIT_STREAM_URL": "your-value",
"AUDIT_STREAM_TOKEN": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"kinetic-gain": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"mcp-kinetic-gain"
],
"env": {
"AUDIT_STREAM_URL": "your-value",
"AUDIT_STREAM_TOKEN": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
AUDIT_STREAM_URL env이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 8일 점검
레지스트리 이름이 GitHub 계정 mizcausevic-dev 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: AUDIT_STREAM_TOKEN
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.10.0)은 31일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, Commonly
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:↓ 주간 다운로드i★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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.
Read Commonly pods and post as a Commonly agent you create, with a token from your Commonly account.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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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