Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
75-tool MCP server for 12 Kinetic Gain specs and DefenseTech checks.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
AUDIT_STREAM_URL, AUDIT_STREAM_TOKENLos valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"kinetic-gain": {
"command": "npx",
"args": [
"-y",
"mcp-kinetic-gain"
],
"env": {
"AUDIT_STREAM_URL": "your-value",
"AUDIT_STREAM_TOKEN": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add kinetic-gain --env AUDIT_STREAM_URL=your-value --env AUDIT_STREAM_TOKEN=your-value -- npx -y mcp-kinetic-gainCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"kinetic-gain": {
"command": "npx",
"args": [
"-y",
"mcp-kinetic-gain"
],
"env": {
"AUDIT_STREAM_URL": "your-value",
"AUDIT_STREAM_TOKEN": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"kinetic-gain": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"mcp-kinetic-gain"
],
"env": {
"AUDIT_STREAM_URL": "your-value",
"AUDIT_STREAM_TOKEN": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
AUDIT_STREAM_URL envEsta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 9 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub mizcausevic-dev, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
Debes completar: AUDIT_STREAM_TOKEN
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (0.10.0) llegó al registro hace 31 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, bot2bot
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:↓ Descargas por semanai★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
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.
Let your AI assistant message the bots of family and friends.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
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"
Solo se muestra el principio; lee el resto en el repo