Registro públicoModerado
Informe de salud del softwareesquema 0.27.0 · métricas 1.13.0 · 2026-07-26 19:13 UTC
JochenYang / luma-mcp
Multi-Model Visual Understanding MCP Server, GLM-4.6V, DeepSeek-OCR (free), and Qwen3-VL-Flash. Provide visual processing capabilities for AI coding models that do not support image understanding.多模型视觉理解MCP服务器，GLM-4.6V、DeepSeek-OCR（免费）和Qwen3-VL-Flash等。为不支持图片理解的 AI 编码模型提供视觉处理能力。
JochenYang/luma-mcp tiene un índice de salud de 59 sobre 100, lo que lo sitúa en la banda Moderado. Su puntuación más alta es Vitality (81/100) y la más baja, Security (42/100). Se actualizó por última vez hace 6 días. Una sola persona concentra la mayor parte del trabajo reciente.
59
global / 100Índice de salud del software
Las métricas se agrupan en categorías ponderadas sobre una escala de 1 a 100. El resultado global parte de su media; cuando la evidencia pública activa la Política de Jurisdicciones de Alto Riesgo, la calificación se ajusta y recibe el límite 49 (En riesgo). Preparación para IA queda fuera.
59
Excelente85-100Ejemplar; cumple prácticamente todos los criterios evaluados
Bueno70-84Saludable; carencias menores
Moderado50-69Aceptable con carencias notables; se recomienda revisión
En riesgo30-49Debilidades significativas; su adopción exige cautela
Crítico1-29Problemas graves (proyecto abandonado, un solo mantenedor, sin higiene)
Perfil de puntuación
Cada eje es una categoría. La forma importa más que la media: un proyecto sano llena toda la figura, mientras que un perfil de picos y cráteres indica que la fortaleza en una dimensión enmascara el riesgo en otra.
Titularidad
JochenCuenta personal
14 seguidores29 repositorios públicosdesde jun 2022MILOYA
Este repositorio pertenece a una cuenta personal. Un proyecto con un único propietario conlleva más riesgo de continuidad que uno respaldado por una organización.
Ecosistemas de paquetes
| Registro | Paquete | Versión | Descargas / mes | Versiones | Última publicación | Etiquetas |
|---|---|---|---|---|---|---|
| npm | luma-mcp | 1.6.0 | 11.258 | 29 | hace 6 días | mcpvisionaiglm-4.6vzhipudeepseek-ocrsiliconflowqwen3-vlaliyundashscopedoubaovolcenginearkocrfreeimage-understandingmulti-model |
Métricas por categoría
Vitalidad
¿Está vivo el proyecto: se escribe código y se publican versiones?
81
Actividad de desarrollo
68Moderado
Cómo se puntúa
| 36/36 | Recencia de push — último push hace 6 días |
| 9.7/36 | Cadencia de commits — 14/52 semanas con commits |
| 14.9/18 | Volumen de commits — 45 commits en el último año |
| 7/10 | OpenSSF Scorecard: Maintained — 7 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 7 |
Datos de entrada utilizados
| commits_last_year | 45 |
| human_commit_share | 1 |
| days_since_last_push | 6 |
| active_weeks_last_year | 14 |
Disciplina de publicación
100Excelente
Cómo se puntúa
| 27/27 | Publica versiones — 22 versiones publicadas |
| 36/36 | Recencia de las versiones — última versión hace 6 días |
| 27/27 | Cadencia de publicación — una versión cada ~19,8 días |
| 0/10 | OpenSSF Scorecard: Signed-Releases — sin datos |
Datos de entrada utilizados
| releases_count | 22 |
| latest_release_tag | v1.6.0 |
| releases_from_tags | no |
| days_since_latest_release | 6 |
| mean_days_between_releases | 19,8 |
Excluidos de la puntuación (sin datos o no aplicable): OpenSSF Scorecard: Signed-Releases. Los pesos restantes se han renormalizado.
Comunidad y Adopción
¿Tiene el proyecto usuarios, descargas, atención y unas condiciones acogedoras para quienes contribuyen?
50
Popularidad y adopción
39En riesgo
Cómo se puntúa
| 31/60 | Estrellas — 83 estrellas |
| 8.3/25 | Forks — 11 forks |
| 0/15 | Observadores — 0 observadores |
Datos de entrada utilizados
| forks | 11 |
| stars | 83 |
| watchers | 0 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Salud de la comunidad
50Moderado
Cómo se puntúa
| 22.5/22.5 | README |
| 22.5/22.5 | Licencia — licencia reconocida (MIT) |
| 0/18 | Guía CONTRIBUTING |
| 0/13.5 | Código de conducta |
| 0/7.2 | Plantilla de issues |
| 0/6.3 | Plantilla de PR |
Datos de entrada utilizados
| has_readme | sí |
| has_license | sí |
| has_contributing | no |
| has_issue_template | no |
| has_code_of_conduct | no |
| has_pull_request_template | no |
Adopción en el ecosistema (descargas)
68Moderado
Cómo se puntúa
| 54/80 | Descargas mensuales — 11.258 descargas/mes en npm |
| 0/20 | Dependientes en el registro — no lo informa este ecosistema |
Datos de entrada utilizados
| packages | luma-mcp |
| dependents | — |
| ecosystems | npm |
| total_downloads | — |
| monthly_downloads | 11.258 |
Excluidos de la puntuación (sin datos o no aplicable): Dependientes en el registro. Los pesos restantes se han renormalizado.
Sostenibilidad y Gobernanza
¿Sobrevivirá el proyecto a sus personas: factor bus, capacidad de respuesta, quién lo respalda y mantenimiento del paquete?
47
Cómo se puntúa
| 9/54 | Factor bus — la mitad de los commits recae en 1 contribuyente(s) |
| 0/22.5 | Distribución de commits — el principal contribuyente firma el 100% de los commits |
| 1.4/13.5 | Amplitud de contribuyentes — 1 contribuyentes |
| 3/10 | OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
Datos de entrada utilizados
| bus_factor | 1 |
| contributors_sampled | 1 |
| top_contributor_share | 1 |
Capacidad de respuesta a issues y PR
47En riesgo
Cómo se puntúa
| 46.8/46.8 | Resolución de issues — 100% de issues cerradas |
| 0/38.3 | Aceptación de PR — 0/1 PR decididos fusionados |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0 |
Datos de entrada utilizados
| merged_prs | 0 |
| open_issues | 0 |
| closed_issues | 4 |
| issue_closed_ratio | 1 |
| closed_unmerged_prs | 1 |
Propiedad y custodia
47En riesgo
Cómo se puntúa
| 10/30 | Respaldo de la propiedad — cuenta personal (usuario) |
| 0/20 | Dominio verificado — no aplicable a cuentas de usuario |
| 8.5/25 | Alcance del propietario — 14 seguidores de JochenYang |
| 18.9/25 | Trayectoria — 29 repos públicos, cuenta de ~4 años |
Datos de entrada utilizados
| followers | 14 |
| owner_type | User |
| is_verified | — |
| owner_login | JochenYang |
| public_repos | 29 |
| account_age_days | 1496 |
Excluidos de la puntuación (sin datos o no aplicable): Dominio verificado. Los pesos restantes se han renormalizado.
Mantenimiento de paquetes
100Excelente
Cómo se puntúa
| 25/25 | Publicado y resoluble — 1 paquete(s) en npm |
| 35/35 | Recencia de publicación — última publicación hace 6 días |
| 20/20 | Historial de versiones — 29 versiones en el registro |
| 20/20 | No obsoleto — activo, ni obsoleto ni retirado |
Datos de entrada utilizados
| packages | luma-mcp |
| ecosystems | npm |
| any_deprecated | no |
| min_days_since_publish | 6 |
Calidad de Ingeniería
¿Existen unas prácticas mínimas de ingeniería y documentación?
70
Prácticas de ingeniería
60Moderado
Cómo se puntúa
| 24/24 | Flujos de trabajo de CI — 1 flujo(s) de trabajo |
| 24/24 | Pruebas presentes |
| 0/16 | Configuración de linter |
| 0/9.6 | Hooks de pre-commit |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — sin datos |
Datos de entrada utilizados
| has_ci | sí |
| has_tests | sí |
| has_editorconfig | no |
| has_linter_config | no |
| has_precommit_config | no |
Excluidos de la puntuación (sin datos o no aplicable): OpenSSF Scorecard: CI-Tests. Los pesos restantes se han renormalizado.
Documentación
85Excelente
Cómo se puntúa
| 30/30 | README |
| 25/25 | Directorio de documentación |
| 0/15 | Sitio de documentación / página del proyecto |
| 10/10 | Descripción del repositorio |
| 10/10 | Topics — 5 topics |
| 10/10 | Wiki |
Datos de entrada utilizados
| topics | image-understanding, mcp, mcp-server, model-context-protocol, vision |
| has_wiki | sí |
| homepage | — |
| has_readme | sí |
| has_docs_dir | sí |
| has_description | sí |
Seguridad
¿Son sólidas las prácticas visibles de seguridad y de cadena de suministro, sin exposición jurisdiccional de alto riesgo sin resolver?
42
Postura de seguridad
36En riesgo
Cómo se puntúa
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — branch protection not enabled on development/release branches |
| 0/2.5 | CI-Tests — sin datos |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0/7.5 | Code-Review — Found 0/30 approved changesets -- score normalized to 0 |
| 0.8/2.5 | Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 0/7.5 | Dependency-Update-Tool — no update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | Licencia — license file detected |
| 5.2/7.5 | Maintained — 7 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 7 |
| 0/5 | Packaging — sin datos |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — no SAST tool detected |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — sin datos |
| 6.8/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 24 existing vulnerabilities detected |
Datos de entrada utilizados
| source | openssf_scorecard |
| checks_evaluated | 15 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 3 |
| scorecard_aggregate | 3,6 |
Excluidos de la puntuación (sin datos o no aplicable): ci_tests, packaging, signed_releases. Los pesos restantes se han renormalizado.
Avisos de dependencias
68Moderado
Cómo se puntúa
| 14.6/35 | Dependencias directas libres de avisos conocidos — 1 afectados: sharp 0.33.5 (high 7.3) |
| 13.2/25 | Dependencias indirectas libres de avisos conocidos — 1 afectados: @hono/node-server 1.19.15 (moderate 5.9) |
| 40/40 | Sin avisos pendientes — ningún aviso lleva público más de 90 días |
Datos de entrada utilizados
| source | osv |
| advisories | 2 |
| affected_packages | 2 |
| assessed_packages | 138 |
| unassessed_packages | 0 |
| affected_by_severity | high 1, moderate 1 |
| direct_affected_packages | 1 |
Se cotejó el cierre de dependencias en tiempo de ejecución de npm:luma-mcp@1.6.0 —lo que arrastra la instalación del paquete publicado—: 138 paquetes. No se analiza la alcanzabilidad.
Preparación para IA
¿Hasta qué punto está el repositorio preparado para desarrollarse y mantenerse con agentes de codificación de IA? Es una insignia independiente y experimental — peso 0,0, de modo que se presenta por separado y no afecta a la puntuación de salud global.
47
Contexto y guía para agentes
40En riesgo
Cómo se puntúa
| 0/45 | Instrucciones para agentes — sin CLAUDE.md / AGENTS.md / reglas de editor |
| 0/15 | Documentación legible por máquinas (llms.txt) |
| 40/40 | Historial de commits legible — 44 de 45 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo) |
Datos de entrada utilizados
| has_llms_txt | no |
| legible_history_share | 0,978 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Cómo se puntúa
| 0/18 | Arranque con un solo comando |
| 22/22 | Pruebas automatizadas |
| 0/11 | Configuración de lint / formato |
| 11/11 | Verificación estática de tipos — tsconfig.json |
| 10/10 | Entorno reproducible — lockfile |
| 0/10 | Práctica demostrada con agentes — ningún commit con autoría de agente entre los últimos 45 |
| 0/8 | Mantenimiento automatizado — no se observan actualizaciones automáticas de dependencias |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Datos de entrada utilizados
| has_nix | no |
| has_tests | sí |
| lockfiles | package-lock.json |
| has_dockerfile | no |
| typed_language | sí |
| bootstrap_files | — |
| has_devcontainer | no |
| has_linter_config | no |
| typecheck_configs | tsconfig.json |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Legibilidad del código para modelos
100Excelente
Cómo se puntúa
| 45/45 | Código verificable por tipos — TypeScript (tipado estático) |
| 55/55 | Tamaños de archivo manejables — 0/23 archivos fuente de más de 60 KB |
Datos de entrada utilizados
| primary_language | TypeScript |
| largest_source_bytes | 25.263 |
| source_files_sampled | 23 |
| oversized_source_files | 0 |
Interfaces legibles por máquina
20Crítico
Cómo se puntúa
| 0/40 | Esquema de API (OpenAPI/GraphQL/proto) |
| 20/20 | Servidor MCP |
| 0/40 | Ejemplos ejecutables |
Datos de entrada utilizados
| example_dirs | — |
| has_mcp_signal | sí |
| api_schema_files | — |
Datos clave
83estrellas de GitHub
1contribuidores
45commits en los últimos 12 meses
6días desde el último push
22versiones publicadas
1factor bus
0issues abiertas
npmecosistemas de paquetes
Advertencias de recopilación de datos
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
- GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
Más detalle
Historial de estrellas y forks 0 ★ / 11 ⇿
0Estrellas
11Forks
17Versiones
Cuándo se añadió cada estrella y fork, recopilado de GitHub y agrupado por día. El crecimiento acumulado se sitúa justo encima de las adiciones diarias que lo componen, de modo que ambos se leen en conjunto: la acumulación orgánica sostenida no se parece en nada a un pico abrupto y efímero. Cuando esa diferencia es medible, se informa como autenticidad del crecimiento.
Mayor 0Menor 3Parche 14
OpenSSF Scorecard 3.6 / 10
3.6agregado
Evaluación de seguridad independiente y agnóstica en cuanto a herramientas, procedente del proyecto de código abierto OpenSSF Scorecard. Cada comprobación premia una práctica de seguridad, no la herramienta de un proveedor concreto. Las comprobaciones que Scorecard no pudo determinar se marcan como n/d y se excluyen de la puntuación de seguridad (nunca se cuentan como cero).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 0 | Branch-Protection | branch protection not enabled on development/release branches |
| n/d | CI-Tests | no pull request found |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 0 | Code-Review | Found 0/30 approved changesets -- score normalized to 0 |
| 3 | Contributors | project has 1 contributing companies or organizations -- score normalized to 3 |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 7 | Maintained | 7 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 7 |
| n/d | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | no SAST tool detected |
| 0 | Security-Policy | security policy file not detected |
| n/d | Signed-Releases | no releases found |
| 9 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 24 existing vulnerabilities detected |
Dependencias directas 4
| Registro | Paquete | Restricción de versión | Manifiesto |
|---|---|---|---|
| npm | @modelcontextprotocol/sdk | ^1.25.4 | package.json |
| npm | axios | ^1.15.1 | package.json |
| npm | sharp | ^0.33.5 | package.json |
| npm | zod | ^3.25.76 | package.json |
Todas las dependencias no recopilado
No fue posible recopilar el conjunto de dependencias resuelto para este informe: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
Avisos de dependencias 2
Instalar npm:luma-mcp@1.6.0 arrastra 138 paquetes, directos y transitivos: 2 tienen avisos conocidos, de los cuales 1 son dependencias directas.
| Paquete | Versión | Relación | Gravedad | Avisos | Corregido en |
|---|---|---|---|---|---|
| sharp | 0.33.5 | directa | alta | 1 | 0.35.0 |
| @hono/node-server | 1.19.15 | indirecta | moderada | 1 | 2.0.5 |
Un aviso significa que la versión registrada en el grafo de dependencias cae dentro del rango afectado de un aviso. No se analiza la alcanzabilidad, y el grafo incluye fijaciones de desarrollo y prueba: un hallazgo puede referirse al utillaje y no al software distribuido.
Informe JSON sin procesar legible por máquina
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"headline": "feat: custom provider support for any OpenAI-compatible endpoint",
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"headline": "fix: HTTPS remote image fetch regression and several v1.4.0 follow-ups",
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"headline": "feat: security hardening, performance optimization, and code quality",
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"headline": "release: cut v1.3.6",
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"headline": "chore: bump version to 1.3.5 and optimize visual understanding",
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"headline": "refactor(core): revert to simple implementation and optimize vision p…",
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"oid": "3c103d462b027fb3c8dd2f7488d6b712ea6c7629",
"body": "…g logic\n\n- Fix missing enableThinking parameter in index.ts analyzeWithRetry\n- Unify thinking enable logic across all clients (enableThinking !== false)\n- Volcengine Doubao now correctly supports thinking mode\n- Add comprehensive logging to Qwen client\n- Refactor Zhipu client thinking parameter handling\n\nAll supported models (Zhipu, Qwen, Volcengine) now correctly enable thinking mode.\nUsers can disable it via ENABLE_THINKING=false to improve speed and reduce costs.",
"is_bot": false,
"headline": "fix(thinking): fix enableThinking parameter passing and unify thinkin…",
"author_name": "dabaotongxue",
"author_login": "JochenYang",
"committed_at": "2025-12-24T13:32:28Z",
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"body": "- add volcengine-client.ts to project structure\n- remove deleted prompts.ts from English README\n- synchronize Chinese and English documentation",
"is_bot": false,
"headline": "docs: update project structure in README files",
"author_name": "dabaotongxue",
"author_login": "JochenYang",
"committed_at": "2025-12-18T12:12:51Z",
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"body": "- new volcengine provider with doubao-seed-1.6 models\n- unified config architecture for all clients\n- support base64, url and local file formats\n- update documentation and examples",
"is_bot": false,
"headline": "feat: upgrade to v1.2.7 - add volcengine provider support",
"author_name": "dabaotongxue",
"author_login": "JochenYang",
"committed_at": "2025-12-17T12:00:01Z",
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"body": "… enabled\n\n- update zhipu model from glm-4.5v to glm-4.6v\n- increase max_tokens from 8192 to 16384\n- enable thinking mode by default\n- remove prompts.ts and use raw prompts\n- update documentation",
"is_bot": false,
"headline": "feat: upgrade to v1.2.6 - glm-4.6v model, 16384 tokens, thinking mode…",
"author_name": "dabaotongxue",
"author_login": "JochenYang",
"committed_at": "2025-12-17T11:59:23Z",
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"oid": "eff6cea84b224c4db093216d246bcc56a740b015",
"body": "- Remove unused src/prompts.ts file\n- Remove buildAnalysisPrompt from index.ts\n- Remove buildAnalysisPrompt from qwen-client.ts\n- All providers now use raw user prompt directly\n- Reduces token consumption and unifies behavior",
"is_bot": false,
"headline": "feat: remove prompt wrapper and use raw prompts for all providers",
"author_name": "dabaotongxue",
"author_login": "JochenYang",
"committed_at": "2025-12-16T09:34:57Z",
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"headline": "chore: release v1.2.4 - version bump",
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"author_login": "JochenYang",
"committed_at": "2025-12-15T10:05:41Z",
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"headline": "chore: release v1.2.3 - code cleanup and tool description optimization",
"author_name": "dabaotongxue",
"author_login": "JochenYang",
"committed_at": "2025-11-21T15:56:20Z",
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"headline": "docs: update CHANGELOG.MD something",
"author_name": "dabaotongxue",
"author_login": "JochenYang",
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},
{
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"body": null,
"is_bot": false,
"headline": "feat: add @ path support and optimize prompts for v1.2.2",
"author_name": "dabaotongxue",
"author_login": "JochenYang",
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"headline": "docs: update project structure in READMEs",
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"is_bot": false,
"headline": "ci: remove automatic npm publish from workflow due to npm token polic…",
"author_name": "dabaotongxue",
"author_login": "JochenYang",
"committed_at": "2025-11-18T08:02:24Z",
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"headline": "chore: bump version to 1.2.1",
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"headline": "docs: add Qwen local testing examples and pricing/model comparison de…",
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{
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"body": "- Auto-create GitHub Release from tag\n- Extract release notes from CHANGELOG.md\n- Auto-publish to npm with NPM_TOKEN",
"is_bot": false,
"headline": "ci: add GitHub Actions workflow for automated releases",
"author_name": "dabaotongxue",
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"body": "- Add Aliyun Qwen3-VL-Flash vision model support\n- Support thinking mode for complex scenarios\n- Update all clients to use independent parameters\n- Remove hardcoded API keys from test files (security fix)\n- Update documentation (CN/EN) with Qwen configuration examples\n- Default to qwen3-vl-flash model for better cost-performance\n- Update .env.example with Qwen configuration",
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"headline": "feat: add Qwen3-VL-Flash support v1.2.0",
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"body": "- Support base64-encoded image data (data:image/png;base64,...)\n- Enable direct image passing when MCP clients support it\n- Add Data URI format validation (MIME type, size limits)\n- Update tool description and documentation\n- Add comprehensive test suite for Data URI\n- Prepare for future client-side image paste support",
"is_bot": false,
"headline": "feat: Add Data URI support for image input (v1.1.1)",
"author_name": "dabaotongxue",
"author_login": "JochenYang",
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"headline": "docs: Update English README with multi-model support",
"author_name": "dabaotongxue",
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"body": "- Add multi-model architecture with VisionClient interface\n- Support SiliconFlow DeepSeek-OCR (free OCR service)\n- Add MODEL_PROVIDER environment variable for model selection\n- Optimize prompt handling for DeepSeek-OCR\n- Update documentation with dual-model configuration\n- Add .env.example and CHANGELOG.md\n- Maintain backward compatibility with existing configurations",
"is_bot": false,
"headline": "feat: Add DeepSeek-OCR support via SiliconFlow (v1.1.0)",
"author_name": "dabaotongxue",
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"body": "- Thinking mode is now ON by default (better for image analysis)\n- Updated documentation to reflect default behavior\n- Users can disable it via ZHIPU_ENABLE_THINKING=false if needed\n- Changed parameter name from 'question' to 'prompt' in docs\n- Version bump to 1.0.3",
"is_bot": false,
"headline": "feat: re-enable thinking mode by default for better accuracy",
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"headline": "Delete directory",
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"headline": "chore: Update the .gitignore`",
"author_name": "dabaotongxue",
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"is_bot": false,
"headline": "feat: make prompt parameter required to improve auto-trigger reliability",
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"headline": "docs: update tool invocation instructions with correct MCP tool names",
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"headline": "chore: fix package.json formatting (npm auto-correction)",
"author_name": "dabaotongxue",
"author_login": "JochenYang",
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{
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"body": "- Vision understanding MCP server powered by GLM-4.5V\n- Single analyze_image tool with auto-trigger optimization\n- Support local files, remote URLs, and temporary screenshot paths\n- Built-in retry mechanism with exponential backoff\n- Thinking mode enabled by default\n- Comprehensive documentation (Chinese and English)\n- MIT License",
"is_bot": false,
"headline": "feat: initial release of Luma MCP v1.0.0",
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{
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{
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{
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{
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{
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],
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},
"warnings": [
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],
"report_type": "repository",
"generated_at": "2026-07-26T19:13:50.403086Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/j/JochenYang/luma-mcp.svg",
"full_name": "JochenYang/luma-mcp",
"license_state": "standard",
"license_spdx": "MIT"
}Las puntuaciones son señales, no garantías. Reflejan prácticas públicamente visibles en GitHub; no son una auditoría de código ni una garantía de seguridad.
Los datos ausentes se excluyen y los pesos se renormalizan; nunca se puntúan como cero. La metodología es versionada y abierta: métricas v1.13.0, esquema v0.27.0 — metodología completa · wiki de métricas.
Cómo se sitúa un resultado dentro del registro general: estadísticas agregadas — npm.