EnriVision
It is an MCP server that uploads local media to EnriProxy and returns server-side extraction plus model analysis, letting MCP clients analyze files they can't reliably read themselves.
Analyze a single media file via
path, or multiple images viapaths(UI screenshots/photo sets).Works with videos, audio, images (HEIC/AVIF/SVG, etc.), and documents (PDF, DOCX, PPTX, XLSX, JSONL).
Ask a
questionand optionally providecontextand alanguagefor the response.Choose analysis modes:
auto,single, ormultipassfor large PDFs/videos and image sets.Video-specific controls: extract frames, transcribe audio, set Whisper language, clip by start/duration, and tune segment/max-frame settings.
Audio/document/image multipass tuning: segment durations, page limits, batch sizes, timestamps, and dimension caps.
Handles large files with resumable uploads (up to 4GB) and can download/analyze http(s) URLs up to 64 MiB.
Returns a structured result with the produced
analysis, detectedmedia_type, and safeextractionmetadata.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@EnriVisionsummarize the video at /Users/me/demo.mp4 and transcribe the audio"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
EnriVision
EnriVision is a Model Context Protocol (MCP) server over stdio that uploads local media to EnriProxy and returns server-side extraction + model analysis.
This is useful for media types that many MCP clients cannot read reliably (videos, audio, scanned PDFs, HEIC/AVIF, large files), while keeping the MCP server itself lightweight.
What this project is
An MCP server process your MCP host launches (OpenCode, Claude Code, Codex, etc.)
A thin client for EnriProxy (resumable upload + structured output)
Related MCP server: multimodal-reader-mcp
Requirements
Node.js
>= 22(recommended: Node 24 LTS)A reachable EnriProxy server with these endpoints enabled:
POST /v1/uploadsHEAD /v1/uploads/:idPATCH /v1/uploads/:idPOST /v1/vision/analyze
An EnriProxy API key (configured on the EnriProxy side)
Install
# Global install
npm install -g @bedolla/enrivision
# Or run without installing
npx -y @bedolla/enrivision@latest --helpBuild
npm install
npm run typecheck
npm run buildUsage
1) Configure your MCP host
EnriVision runs as an MCP server over stdio. Your MCP host is responsible for launching the process.
Example: global install
{
"EnriVision": {
"type": "stdio",
"command": "enrivision",
"args": [],
"env": {
"ENRIPROXY_URL": "http://127.0.0.1:8787",
"ENRIPROXY_API_KEY": "YOUR_ENRIPROXY_API_KEY",
"ENRIVISION_DEFAULT_LANGUAGE": "es"
}
}
}Example: no install (always uses whatever npm currently tags as latest)
{
"EnriVision": {
"type": "stdio",
"command": "npx",
"args": ["-y", "@bedolla/enrivision@latest"],
"env": {
"ENRIPROXY_URL": "http://127.0.0.1:8787",
"ENRIPROXY_API_KEY": "YOUR_ENRIPROXY_API_KEY",
"ENRIVISION_DEFAULT_LANGUAGE": "es"
}
}
}{
"EnriVision": {
"type": "stdio",
"command": "node",
"args": ["C:\\\\Users\\\\Administrator\\\\Projects\\\\EnriVision\\\\dist\\\\index.js"],
"env": {
"ENRIPROXY_URL": "http://127.0.0.1:8787",
"ENRIPROXY_API_KEY": "YOUR_ENRIPROXY_API_KEY",
"ENRIVISION_DEFAULT_LANGUAGE": "es"
}
}
}Configuration
EnriVision is configured via environment variables:
ENRIPROXY_URL(string, optional, default:http://127.0.0.1:8787)ENRIPROXY_API_KEY(string, required)ENRIVISION_TIMEOUT_MS(string, optional, default:1800000)Parsed as an integer (milliseconds). Uploads are performed in chunks; this timeout applies per request.
ENRIVISION_DEFAULT_LANGUAGE(string, optional)Default language to send when the tool call does not provide
language.
MCP tools
EnriVision exposes this MCP tool:
analyze_media
General notes:
The tool accepts a single JSON object as its input (the MCP
arguments).Exactly one of
pathorpathsis required.Paths must be absolute on the machine running the MCP server, or http(s) URLs. URLs are downloaded to a temporary directory on the MCP host (up to 64 MiB each; localhost and private-network destinations are blocked) and deleted after analysis.
EnriVision does not accept per-call
server_url/api_keyoverrides (these are configured via env vars).
analyze_media
Inputs:
path(string, optional): absolute local file path, or one http(s) URL to download and analyze (up to 64 MiB).paths(string[], optional): absolute local image paths or http(s) image URLs (useful for UI screenshot sets).context(string, optional): high-level hint (examples:ui,diagram,chart,error,code,meeting,tutorial,photo).question(string, optional): what you want to extract/answer.language(string, optional): preferred response language (ISO 639-1; e.g.,es,en). If omitted, usesENRIVISION_DEFAULT_LANGUAGEwhen set.analysis_mode(string, optional):auto|single|multipass.max_frames(number, optional): single-pass video frames (1..20).transcribe(boolean, optional): enable/disable transcription (videos).transcription_language(string, optional): whisper hint (auto,es,en, ...).
Video targeting:
video.clip_start_seconds(number, optional)video.clip_duration_seconds(number, optional)
Multipass tuning (advanced; used only for analysis_mode: multipass):
video.segment_seconds(number, optional)video.max_segments(number, optional)video.max_frames_per_segment(number, optional)document.max_pages_total(number, optional)document.pages_per_batch(number, optional)document.max_images_per_batch(number, optional)document.scanned_text_threshold_chars(number, optional)audio.timestamps(boolean, optional)audio.segment_seconds(number, optional)audio.max_segments(number, optional)images.max_images_total(number, optional)images.images_per_batch(number, optional)images.max_dimension(number, optional)
Output:
analysis(string): model-produced analysis.media_type(string): detected media type (video,audio,image,document,image_set).extraction(object): safe metadata summary (internal routing details are stripped).
Example arguments object:
{
"path": "C:\\\\path\\\\to\\\\video.mp4",
"question": "What are the key steps demonstrated?",
"analysis_mode": "auto",
"transcribe": true,
"language": "es"
}Many MCP clients include a built-in Read(...) tool that can ingest local files and attach them to the model request.
This is convenient, but the set of supported formats is limited and can change across client versions.
If the file you need to analyze is not reliably supported by your client (for example .avif, .heic, .svg, videos,
audio, or Office documents), prefer EnriVision MCP so the client can upload bytes and EnriProxy can do extraction reliably.
EnriProxy determines media type using content-type and extension allow-lists.
Videos:
.mp4,.mov,.avi,.mkv,.webm,.m4v,.wmv,.flv,.3gp,.3g2,.ts,.mts,.m2ts,.mpeg,.mpg,.gif
Audio:
.mp3,.mp1,.mp2,.mpa,.mpga,.wav,.aiff,.aif,.aifc,.caf,.flac,.m4a,.m4b,.m4r,.aac,.ogg,.oga,.wma,.opus,.weba,.mka
Images:
.png,.apng,.jpg,.jpeg,.gif,.webp,.avif,.heic,.heif,.tiff,.tif,.bmp,.svg,.ico
Documents:
.pdf,.docx,.pptx,.xlsx,.jsonl
Available Tools
1 toolanalyze_mediaA
Sube y analiza un archivo local mediante EnriProxy (extracción del lado servidor + análisis con modelo).
Cuándo usarla:
PDFs grandes (muchas páginas) o escaneados donde el Read del cliente puede truncar o perder contenido.
Video/audio u otros medios binarios que su cliente no puede leer con Read.
Archivos de audio en formatos comunes (mp3, wav, flac, m4a, aac, ogg/oga, opus, wma, weba, mka, aiff/aif/aifc, caf, m4b/m4r, mp1/mp2/mpa/mpga).
HEIC/AVIF/TIFF/APNG/SVG/documentos de Office cuando el Read del cliente es poco confiable.
Archivos muy grandes que requieren subidas reanudables (hasta 4GB).
PDFs/videos grandes: use
analysis_mode= 'multipass' para mejor cobertura (auto prefiere multipass para PDFs de más de 20 páginas).Para preguntas de video en un tiempo específico (por ejemplo, "¿qué pasa en 12:34?"), use
video.clip_start_secondsyvideo.clip_duration_seconds.
Reglas:
Use
pathpara un archivo, opathspara varias imágenes (capturas de UI/sets de fotos).path/pathsaceptan rutas absolutas en la máquina donde corre este servidor MCP (el cliente), o URLs http(s) que se descargan temporalmente en esa misma máquina (hasta 64 MiB; no se permiten hosts locales ni redes privadas).Requiere una API key válida de EnriProxy (env
ENRIPROXY_API_KEY, enviada como Authorization: Bearer ...).Prefiera el Read nativo del cliente sólo para texto/PDF/imágenes comunes pequeños y simples cuando funcione; prefiera esta herramienta para PDFs grandes.
Responda estrictamente con la salida de la herramienta; si faltan fotogramas/transcripción, dígalo.
Video: los fotogramas y la transcripción pertenecen a la MISMA línea de tiempo del video (no son imágenes sin relación).
Los GIF/WebP/APNG/SVG animados se convierten en fotogramas clave representativos.
Establezca
language(por ejemplo, 'es') para coincidir con el idioma del usuario y evitar deriva de idioma.
Depuración de capturas de UI (cuando el material sean capturas de pantalla de aplicaciones):
Abra con un veredicto de una línea en lenguaje claro (por ejemplo, 'el formulario de login renderiza correctamente' o 'el header se solapa con la barra lateral').
Describa zona por zona (header, barra lateral, contenido principal, modales, notificaciones), no como escena general.
Aproxime los colores como valores hex (por ejemplo, #1F6FEB) y nómbrelos; señale colores inesperados o inconsistentes.
Cuantifique defectos de layout: desbordes, recortes, solapamientos, desalineaciones, espaciados faltantes, texto cortado; estime magnitudes en píxeles cuando sea posible.
Transcriba textualmente etiquetas, botones y cualquier mensaje de error o estado visible.
Si la solicitud indica qué se esperaba, compare observado vs esperado de forma explícita.
| Name | Required | Description | Default |
|---|---|---|---|
| path | No | Ruta absoluta a un archivo local en la máquina donde corre el servidor MCP (por ejemplo, C:\\Users\\User\\Downloads\\video.mp4), o una URL http(s) de imagen/video/audio/PDF para descargar y analizar (hasta 64 MiB; hosts locales y redes privadas bloqueados). | |
| audio | No | Ajuste opcional de multipass para audio (se usa sólo al analizar archivos de audio). | |
| paths | No | Rutas absolutas a varios archivos de imagen locales o URLs http(s) (capturas de UI/sets de fotos; cada URL hasta 64 MiB). Cuando se proporcionan, EnriVision sube un único archivo de conjunto para procesamiento por lotes y reducción del lado servidor. | |
| video | No | Ajuste opcional de multipass para video. Se usa sólo al analizar videos. | |
| images | No | Ajuste opcional de multipass para conjuntos de imágenes (se usa sólo con `paths`). | |
| region | No | Región relativa de la IMAGEN original para analizar a resolución nativa (zoom). Coordenadas entre 0 y 1; (0,0) es la esquina superior izquierda. Use las cajas devueltas en 'elements' de un análisis previo de la misma imagen: NUNCA invente coordenadas. Ideal para leer texto pequeño (labels, código) que en la imagen completa comprimida resulta ilegible. Sólo imágenes (path, no paths). | |
| context | No | Pista opcional de análisis: ui, diagram, chart, error, code, meeting, tutorial, photo. Déjelo vacío para detección automática. | |
| document | No | Ajuste opcional de multipass para documentos (PDF). | |
| language | No | Código de idioma preferido de respuesta (ISO 639-1), por ejemplo 'es', 'en'. | |
| question | No | Pregunta explícita opcional que responder sobre el archivo. | |
| max_frames | No | Máximo opcional de fotogramas para videos (1-20) en modo single-pass. Para tiempos específicos, prefiera video.clip_start_seconds + video.clip_duration_seconds. Para multipass, use video.max_frames_per_segment. | |
| transcribe | No | Sobreescritura opcional para activar/desactivar la transcripción de audio en videos. | |
| analysis_mode | No | Selector opcional de modo de análisis: auto, single o multipass. | |
| transcription_language | No | Pista opcional de idioma para la transcripción de audio/video (por ejemplo, 'auto', 'es', 'en'). |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden, and it delivers: it discloses auth requirements (ENRIPROXY_API_KEY sent as Bearer), upload/download mechanics (server-side extraction, resumable up to 4GB, URL download up to 64 MiB, private hosts blocked), media handling behavior (animated images converted to keyframes, frames/transcription on the same timeline), and how to report incomplete results ('si faltan fotogramas/transcripción, dígalo').
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is long, but it is well structured with scannable headers ('Cuándo usarla', 'Reglas', 'Depuración de capturas de UI') and bullet points, and it front-loads the core purpose and selection criteria. The UI-debugging block is detailed and somewhat niche, but every section serves a distinct use case, so it earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a 14-parameter tool with no output schema, the description thoroughly covers prerequisites, input types, size limits, auth, multipass modes, and response expectations. It references 'elements' as part of the output, but because no output schema exists, the exact return structure is not fully spelled out—the main remaining gap for an agent trying to use the tool's results.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema already documents all 14 parameters at 100% coverage, so the baseline is 3. The description adds real semantic value by explaining when to use `path` vs `paths`, URL vs local paths, how `video.clip_start_seconds` and `clip_duration_seconds` target timestamped questions, and that `region` coordinates must come from previous 'elements' output rather than being invented.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The opening sentence states precisely what the tool does: 'Sube y analiza un archivo local mediante EnriProxy (extracción del lado servidor + análisis con modelo).' It identifies the action, resource, and mechanism, and the 'Cuándo usarla' section distinguishes it from the client's native Read by enumerating the specific file types and scenarios for which this tool is the better choice.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage guidance is explicit and actionable: a dedicated 'Cuándo usarla' list gives concrete conditions (large PDFs, audio/video formats, Office docs, up to 4GB), and the rule 'Prefiera el Read nativo del cliente sólo para texto/PDF/imágenes comunes pequeños y simples cuando funcione; prefiera esta herramienta para PDFs grandes' directly names the alternative and when to choose which. Multipass and timestamped video guidance further clarify variant usage.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
1 tool update
v0.1.5- Changed
analyze_media29 fields changed- changed
Input schema / properties / analysis_mode / descriptionPrevious value: -"Optional analysis mode selector: auto, single, or multipass."New value: +"Selector opcional de modo de análisis: auto, single o multipass." - changed
Input schema / properties / audio / descriptionPrevious value: -"Optional audio multipass tuning (used only when analyzing audio files)."New value: +"Ajuste opcional de multipass para audio (se usa sólo al analizar archivos de audio)." - changed
Input schema / properties / audio / properties / max_segments / descriptionPrevious value: -"Maximum number of audio segments to analyze."New value: +"Número máximo de segmentos de audio a analizar." - changed
Input schema / properties / audio / properties / segment_seconds / descriptionPrevious value: -"Segment duration in seconds for audio multipass."New value: +"Duración del segmento en segundos para multipass de audio." - changed
Input schema / properties / audio / properties / timestamps / descriptionPrevious value: -"Whether to include timestamped segments in audio extraction."New value: +"Si incluir segmentos con marca de tiempo en la extracción de audio." - changed
Input schema / properties / context / descriptionPrevious value: -"Optional analysis hint: ui, diagram, chart, error, code, meeting, tutorial, photo. Leave empty for auto-detection."New value: +"Pista opcional de análisis: ui, diagram, chart, error, code, meeting, tutorial, photo. Déjelo vacío para detección automática." - changed
Input schema / properties / document / descriptionPrevious value: -"Optional document multipass tuning (PDF)."New value: +"Ajuste opcional de multipass para documentos (PDF)." - changed
Input schema / properties / document / properties / max_images_per_batch / descriptionPrevious value: -"Maximum rendered pages (images) per batch."New value: +"Máximo de páginas renderizadas (imágenes) por lote." - changed
Input schema / properties / document / properties / max_pages_total / descriptionPrevious value: -"Maximum number of pages to analyze in total."New value: +"Número máximo de páginas a analizar en total." - changed
Input schema / properties / document / properties / pages_per_batch / descriptionPrevious value: -"Pages per batch for multipass map calls."New value: +"Páginas por lote para las llamadas map de multipass." - changed
Input schema / properties / document / properties / scanned_text_threshold_chars / descriptionPrevious value: -"Minimum extracted text length to treat a page as textual."New value: +"Longitud mínima de texto extraído para tratar una página como textual." - changed
Input schema / properties / images / descriptionPrevious value: -"Optional image-set multipass tuning (used only with `paths`)."New value: +"Ajuste opcional de multipass para conjuntos de imágenes (se usa sólo con `paths`)." - changed
Input schema / properties / images / properties / images_per_batch / descriptionPrevious value: -"Images per batch for multipass map calls."New value: +"Imágenes por lote para las llamadas map de multipass." - changed
Input schema / properties / images / properties / max_dimension / descriptionPrevious value: -"Maximum dimension for images (width/height)."New value: +"Dimensión máxima para las imágenes (ancho/alto)." - changed
Input schema / properties / images / properties / max_images_total / descriptionPrevious value: -"Maximum number of images to analyze in total."New value: +"Número máximo de imágenes a analizar en total." - changed
Input schema / properties / language / descriptionPrevious value: -"Preferred response language code (ISO 639-1), e.g. 'es', 'en'."New value: +"Código de idioma preferido de respuesta (ISO 639-1), por ejemplo 'es', 'en'." - changed
Input schema / properties / max_frames / descriptionPrevious value: -"Optional max frames for videos (1-20) in single-pass mode. For targeted timestamps, prefer video.clip_start_seconds + video.clip_duration_seconds. For multipass, use video.max_frames_per_segment."New value: +"Máximo opcional de fotogramas para videos (1-20) en modo single-pass. Para tiempos específicos, prefiera video.clip_start_seconds + video.clip_duration_seconds. Para multipass, use video.max_frames_per_segment." - changed
Input schema / properties / path / descriptionPrevious value: -"Absolute path to a local file on the machine running the MCP server (e.g., C:\\\\Users\\\\User\\\\Downloads\\\\video.mp4)."New value: +"Ruta absoluta a un archivo local en la máquina donde corre el servidor MCP (por ejemplo, C:\\\\Users\\\\User\\\\Downloads\\\\video.mp4), o una URL http(s) de imagen/video/audio/PDF para descargar y analizar (hasta 64 MiB; hosts locales y redes privadas bloqueados)." - changed
Input schema / properties / paths / descriptionPrevious value: -"Absolute paths to multiple local image files (UI screenshots/photo sets). When provided, EnriVision uploads a single media-set archive for server-side batching + reduce."New value: +"Rutas absolutas a varios archivos de imagen locales o URLs http(s) (capturas de UI/sets de fotos; cada URL hasta 64 MiB). Cuando se proporcionan, EnriVision sube un único archivo de conjunto para procesamiento por lotes y reducción del lado servidor." - changed
Input schema / properties / question / descriptionPrevious value: -"Optional explicit question to answer about the file."New value: +"Pregunta explícita opcional que responder sobre el archivo." - added
Input schema / properties / regionAdded value: +{ + "description": "Región relativa de la IMAGEN original para analizar a resolución nativa (zoom). Coordenadas entre 0 y 1; (0,0) es la esquina superior izquierda. Use las cajas devueltas en 'elements' de un análisis previo de la misma imagen: NUNCA invente coordenadas. Ideal para leer texto pequeño (labels, código) que en la imagen completa comprimida resulta ilegible. Sólo imágenes (path, no paths).", + "properties": { + "height": { + "description": "Alto relativo (1 = alto completo).", + "type": "number" + }, + "width": { + "description": "Ancho relativo (1 = ancho completo).", + "type": "number" + }, + "x": { + "description": "Coordenada horizontal relativa de la esquina superior izquierda (0 = borde izquierdo).", + "type": "number" + }, + "y": { + "description": "Coordenada vertical relativa de la esquina superior izquierda (0 = borde superior).", + "type": "number" + } + }, + "required": [ + "x", + "y", + "width", + "height" + ], + "type": "object" +} - changed
Input schema / properties / transcribe / descriptionPrevious value: -"Optional override to enable/disable audio transcription for videos."New value: +"Sobreescritura opcional para activar/desactivar la transcripción de audio en videos." - changed
Input schema / properties / transcription_language / descriptionPrevious value: -"Optional Whisper language hint for audio/video transcription (e.g., 'auto', 'es', 'en')."New value: +"Pista opcional de idioma para la transcripción de audio/video (por ejemplo, 'auto', 'es', 'en')." - changed
Input schema / properties / video / descriptionPrevious value: -"Optional video multipass tuning. Used only when analyzing videos."New value: +"Ajuste opcional de multipass para video. Se usa sólo al analizar videos." - changed
Input schema / properties / video / properties / clip_duration_seconds / descriptionPrevious value: -"Optional clip duration in seconds for time-targeted video analysis."New value: +"Duración opcional del clip en segundos para análisis de video dirigido a un tiempo." - changed
Input schema / properties / video / properties / clip_start_seconds / descriptionPrevious value: -"Optional clip start offset in seconds for time-targeted video analysis."New value: +"Offset opcional de inicio del clip en segundos para análisis de video dirigido a un tiempo." - changed
Input schema / properties / video / properties / max_frames_per_segment / descriptionPrevious value: -"Maximum frames to extract per segment."New value: +"Máximo de fotogramas a extraer por segmento." - changed
Input schema / properties / video / properties / max_segments / descriptionPrevious value: -"Maximum number of segments to analyze."New value: +"Número máximo de segmentos a analizar." - changed
Input schema / properties / video / properties / segment_seconds / descriptionPrevious value: -"Segment duration in seconds."New value: +"Duración del segmento en segundos."
1 tool update
v0.1.1- Changed
analyze_media1 field changed- added
Input schema / properties / analysis_mode / enumAdded value: +[ + "auto", + "single", + "multipass" +]
1 tool update
v0.1.0- First observed
analyze_media
TDQS
With only one tool, there is no possibility of confusing it with other tools. The tool's purpose is clearly defined and self-contained.
The single tool name 'analyze_media' follows a clear verb_noun pattern. There are no other names to create inconsistency.
The server has only one tool, which feels thin for a media analysis service. However, the tool is extremely comprehensive, handling many file types and modes, making the minimal count reasonable but still borderline.
The tool covers a complete analysis workflow for the server's stated purpose: upload, extraction, analysis, and support for many media types. No obvious gaps are present.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Connectors
OCR, transcription, file extraction, and image generation for AI agents via MCP.
Media intelligence analysis for audio, video, and images via the Echosaw MCP server.
The Listenetic MCP server is a remote, cloud-hosted server that enables AI assistants like ChatGPT and Claude to convert articles, documents, websites, and videos into high-quality AI-generated audio. It provides multi-format support for text and binary files, natural-sounding text-to-audio conversion using AI, and specialized processing for SSML, markup, markdown, and various media formats through three core tools: listentic_supported_mimetypes, listentic_add_content_text, and listentic_add_content_binary.
The CustomGPT.ai MCP server is a fully managed, RAG-powered endpoint that connects large language models with private knowledge bases and external data sources. It provides tools for retrieval-augmented generation queries (send_message), data ingestion (upload_file), and source listing, enabling AI agents to query private documents like PDFs with high accuracy and real-time citations.
Related MCP Servers
- AlicenseBqualityDmaintenanceAn MCP server that lets AI assistants read and visually analyze local documents — PDFs, Excel spreadsheets, CSV files, Word documents, PowerPoint presentations, and images.466MIT
- FlicenseBqualityDmaintenanceMCP server for analyzing local audio and video files with Google Gen AI, returning structured summaries, timelines, transcripts, and observations.11-

Augentofficial
AlicenseBqualityCmaintenanceMCP server that turns any audio or video source into structured, searchable intelligence for agents, enabling download, transcription, semantic search, speaker identification, and more.225MIT- AlicenseNot gradedqualityDmaintenanceAn MCP server for comprehensive video analysis — AI-powered transcription, visual frame analysis, and metadata extraction from 1000+ platforms.1MIT
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/Bedolla/EnriVision'
If you have feedback or need assistance with the MCP directory API, please join our Discord server