Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Descripción del creador (original en inglés)
Local Go MCP server: DuckDuckGo/Bing web + image search, readability scraping to Markdown.
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.
MCP_TRANSPORT, MCP_NAME, MCP_PATH, SERVER_PORT, SERVER_READ_TIMEOUT, SERVER_WRITE_TIMEOUT, LOG_MODE, MAX_IDLE_CONNS_PER_HOST, MAX_QUERIES, DEFAULT_RESULTS, MAX_RESULTS, DEFAULT_IMAGES, MAX_IMAGES, DEFAULT_TIMEOUT_MS, MIN_TIMEOUT_MS, MAX_TIMEOUT_MS, DEFAULT_DOCUMENT_CHARS, MAX_DOCUMENT_CHARS, PROXY_SCHEME, PROXY_HOST, PROXY_PORT, PROXY_LOGIN, PROXY_PASSWORDLos 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 …”.
Descargar el archivo .mcpb del creador
El enlace lleva al archivo del propio creador; no lo alojamos ni lo reempaquetamos. Abre el archivo y Claude Desktop lo instalará.
Ejecuta esto en tu terminal
claude mcp add retrieval --env MCP_TRANSPORT=your-value --env MCP_NAME=your-value --env MCP_PATH=your-value --env SERVER_PORT=your-value --env SERVER_READ_TIMEOUT=your-value --env SERVER_WRITE_TIMEOUT=your-value --env LOG_MODE=your-value --env MAX_IDLE_CONNS_PER_HOST=your-value --env MAX_QUERIES=your-value --env DEFAULT_RESULTS=your-value --env MAX_RESULTS=your-value --env DEFAULT_IMAGES=your-value --env MAX_IMAGES=your-value --env DEFAULT_TIMEOUT_MS=your-value --env MIN_TIMEOUT_MS=your-value --env MAX_TIMEOUT_MS=your-value --env DEFAULT_DOCUMENT_CHARS=your-value --env MAX_DOCUMENT_CHARS=your-value --env PROXY_SCHEME=your-value --env PROXY_HOST=your-value --env PROXY_PORT=your-value --env PROXY_LOGIN=your-value --env PROXY_PASSWORD=your-value -- docker run -i --rm -e MCP_TRANSPORT -e MCP_NAME -e MCP_PATH -e SERVER_PORT -e SERVER_READ_TIMEOUT -e SERVER_WRITE_TIMEOUT -e LOG_MODE -e MAX_IDLE_CONNS_PER_HOST -e MAX_QUERIES -e DEFAULT_RESULTS -e MAX_RESULTS -e DEFAULT_IMAGES -e MAX_IMAGES -e DEFAULT_TIMEOUT_MS -e MIN_TIMEOUT_MS -e MAX_TIMEOUT_MS -e DEFAULT_DOCUMENT_CHARS -e MAX_DOCUMENT_CHARS -e PROXY_SCHEME -e PROXY_HOST -e PROXY_PORT -e PROXY_LOGIN -e PROXY_PASSWORD ghcr.io/role1776/mcp-retrieval:0.1.10Completa los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"retrieval": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"MCP_TRANSPORT",
"-e",
"MCP_NAME",
"-e",
"MCP_PATH",
"-e",
"SERVER_PORT",
"-e",
"SERVER_READ_TIMEOUT",
"-e",
"SERVER_WRITE_TIMEOUT",
"-e",
"LOG_MODE",
"-e",
"MAX_IDLE_CONNS_PER_HOST",
"-e",
"MAX_QUERIES",
"-e",
"DEFAULT_RESULTS",
"-e",
"MAX_RESULTS",
"-e",
"DEFAULT_IMAGES",
"-e",
"MAX_IMAGES",
"-e",
"DEFAULT_TIMEOUT_MS",
"-e",
"MIN_TIMEOUT_MS",
"-e",
"MAX_TIMEOUT_MS",
"-e",
"DEFAULT_DOCUMENT_CHARS",
"-e",
"MAX_DOCUMENT_CHARS",
"-e",
"PROXY_SCHEME",
"-e",
"PROXY_HOST",
"-e",
"PROXY_PORT",
"-e",
"PROXY_LOGIN",
"-e",
"PROXY_PASSWORD",
"ghcr.io/role1776/mcp-retrieval:0.1.10"
],
"env": {
"MCP_TRANSPORT": "your-value",
"MCP_NAME": "your-value",
"MCP_PATH": "your-value",
"SERVER_PORT": "your-value",
"SERVER_READ_TIMEOUT": "your-value",
"SERVER_WRITE_TIMEOUT": "your-value",
"LOG_MODE": "your-value",
"MAX_IDLE_CONNS_PER_HOST": "your-value",
"MAX_QUERIES": "your-value",
"DEFAULT_RESULTS": "your-value",
"MAX_RESULTS": "your-value",
"DEFAULT_IMAGES": "your-value",
"MAX_IMAGES": "your-value",
"DEFAULT_TIMEOUT_MS": "your-value",
"MIN_TIMEOUT_MS": "your-value",
"MAX_TIMEOUT_MS": "your-value",
"DEFAULT_DOCUMENT_CHARS": "your-value",
"MAX_DOCUMENT_CHARS": "your-value",
"PROXY_SCHEME": "your-value",
"PROXY_HOST": "your-value",
"PROXY_PORT": "your-value",
"PROXY_LOGIN": "your-value",
"PROXY_PASSWORD": "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": {
"retrieval": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"MCP_TRANSPORT",
"-e",
"MCP_NAME",
"-e",
"MCP_PATH",
"-e",
"SERVER_PORT",
"-e",
"SERVER_READ_TIMEOUT",
"-e",
"SERVER_WRITE_TIMEOUT",
"-e",
"LOG_MODE",
"-e",
"MAX_IDLE_CONNS_PER_HOST",
"-e",
"MAX_QUERIES",
"-e",
"DEFAULT_RESULTS",
"-e",
"MAX_RESULTS",
"-e",
"DEFAULT_IMAGES",
"-e",
"MAX_IMAGES",
"-e",
"DEFAULT_TIMEOUT_MS",
"-e",
"MIN_TIMEOUT_MS",
"-e",
"MAX_TIMEOUT_MS",
"-e",
"DEFAULT_DOCUMENT_CHARS",
"-e",
"MAX_DOCUMENT_CHARS",
"-e",
"PROXY_SCHEME",
"-e",
"PROXY_HOST",
"-e",
"PROXY_PORT",
"-e",
"PROXY_LOGIN",
"-e",
"PROXY_PASSWORD",
"ghcr.io/role1776/mcp-retrieval:0.1.10"
],
"env": {
"MCP_TRANSPORT": "your-value",
"MCP_NAME": "your-value",
"MCP_PATH": "your-value",
"SERVER_PORT": "your-value",
"SERVER_READ_TIMEOUT": "your-value",
"SERVER_WRITE_TIMEOUT": "your-value",
"LOG_MODE": "your-value",
"MAX_IDLE_CONNS_PER_HOST": "your-value",
"MAX_QUERIES": "your-value",
"DEFAULT_RESULTS": "your-value",
"MAX_RESULTS": "your-value",
"DEFAULT_IMAGES": "your-value",
"MAX_IMAGES": "your-value",
"DEFAULT_TIMEOUT_MS": "your-value",
"MIN_TIMEOUT_MS": "your-value",
"MAX_TIMEOUT_MS": "your-value",
"DEFAULT_DOCUMENT_CHARS": "your-value",
"MAX_DOCUMENT_CHARS": "your-value",
"PROXY_SCHEME": "your-value",
"PROXY_HOST": "your-value",
"PROXY_PORT": "your-value",
"PROXY_LOGIN": "your-value",
"PROXY_PASSWORD": "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.
MCP_TRANSPORT envMCP_NAME envMCP_PATH envSERVER_PORT envSERVER_READ_TIMEOUT envSERVER_WRITE_TIMEOUT envLOG_MODE envMAX_IDLE_CONNS_PER_HOST envMAX_QUERIES envDEFAULT_RESULTS envMAX_RESULTS envDEFAULT_IMAGES envMAX_IMAGES envDEFAULT_TIMEOUT_MS envMIN_TIMEOUT_MS envMAX_TIMEOUT_MS envDEFAULT_DOCUMENT_CHARS envMAX_DOCUMENT_CHARS envPROXY_SCHEME envPROXY_HOST envPROXY_PORT 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 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub Role1776, 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: PROXY_LOGIN, PROXY_PASSWORD
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 (0.1.10) llegó al registro hace 14 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Docker, MCPB en tu computadora.
En la misma categoría: Figma Context MCP, Claude Real Video, Figma MCP Server
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Let any LLM watch a video locally — and search everything it has ever watched.
The Figma MCP server brings Figma design context directly into your AI workflow.
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.
mcp-retrieval
An MCP server that gives an LLM three web tools: search, image search, and page scraping — no API keys required.
Tools · Quick start · Configuration · Retrieval engine · Architecture · Contributing
mcp-retrieval is a Model Context Protocol server written in Go. It exposes web retrieval capabilities to any MCP-compatible client (Claude Desktop, IDE agents, custom LLM apps) as three read-only tools. Under the hood it uses the retrieval-go library to search the web and fetch pages, returning results as clean Markdown ready to hand to a model.
The library needs no API keys: web search goes through DuckDuckGo Lite, image search through Bing Images, and page fetching runs the HTML through a readability extractor before converting it to Markdown. To stay reliable against bot protection it impersonates real browsers at the TLS level and can rotate both browser fingerprints and proxies — see Retrieval engine.
Both transports the MCP SDK supports are available and expose the identical tool set:
| Tool | Description |
|---|---|
| `web_search` | Runs one or more queries in parallel and returns per-query deduplicated, reranked snippets with links. |
| `web_search_images` | Runs one or more image queries in parallel and returns per-query deduplicated image results. |
| `web_scrape` | Downloads one or more pages in parallel and returns the main article text as Markdown. |
All three are annotated as read-only. Each tool returns a structured JSON payload that matches its output schema; the SDK mirrors the same JSON into the text content block for clients that do not read structuredContent.
web_search| Parameter | Type | Default | Notes |
|---|---|---|---|
queries | []string | — | Required. Executed in parallel. |
max_results | int | 5 | Snippets per query, capped at max_results config (20). |
timeout_ms | int64 | 5000 | Whole-call timeout; clamped to [min, max] from config. |
date | string | — | Freshness filter: d (day), w (week), m (month), y (year). |
web_search_images| Parameter | Type | Default | Notes |
|---|---|---|---|
queries | []string | — | Required. Executed in parallel. |
max_images | int | 5 | Images per query, capped at max_images config (10). |
timeout_ms | int64 | 5000 | Whole-call timeout; clamped to [min, max] from config. |
date | string | — | Freshness filter: d / w / m / y. |
web_scrape| Parameter | Type | Default | Notes |
|---|---|---|---|
urls | []string | — | Required. Downloaded in parallel. |
robots_txt | bool | false | Respect the page's robots.txt. |
timeout_ms | int64 | 5000 | Whole-call timeout; clamped to [min, max] from config. |
remove_links | bool | false | Strip Markdown links from the text. |
max_chars | int | 20000 | Truncate page text to N characters, capped at max_document_chars config (20000). |
Both
queries/urlslists are capped atmax_queries(10) items per call. Queries must be ≤ 512 characters; URLs ≤ 2048 characters andhttp/httpsonly.
Every call fans out across the input list and returns one entry per query/URL, each with its own status — success, failed, or timeout — so a partial failure still returns the items that did work.
count is the number of items actually returned, and it can be lower than the requested `max_results` / `max_images`: duplicates within a single query's results are removed before the limit is applied, and the upstream may simply have fewer items to give. A smaller count is a normal outcome, not an error.
Deduplication is per query, not across queries. Each entry is deduplicated on its own, so a link found by two of the queries in the same call appears in both entries — dedupe the union yourself if you need it.
Request-level failures are returned as a tool result with isError: true and a plain-text message, not as a JSON-RPC error — the model reads the message and can correct the call itself. Per-item failures never do this; they stay inside the payload as status: "failed" / "timeout".
A call fails outright only when the input is rejected before any work starts, or when every item in it fails:
| Message | Meaning |
|---|---|
invalid request | The arguments did not pass validation. |
too many queries / too many urls | The list exceeds MAX_QUERIES. Lists this long are normally rejected earlier by input-schema validation (the schema carries maxItems), so the client sees validating "arguments": maxItems: ... instead; this message is a fallback. |
query must not be empty | An empty query, or an empty queries list. |
query is too long | A query exceeds 512 characters. |
invalid url | A URL is malformed, over 2048 characters, or not http/https. |
robots.txt denied | robots_txt: true and the page disallows fetching. |
every url failed to be scraped; the pages may be unreachable or hold no extractable text | Every URL failed with an error other than a timeout. Individual causes are logged to stderr, not returned. |
every query failed; the search upstream may be unreachable | Every query failed with an error other than a timeout, including the upstream rejecting the requests (any non-200 answer, such as DuckDuckGo's HTTP 202 bot challenge under a burst of requests). The per-query cause is logged to stderr. |
request canceled | The client canceled the call before it finished; nothing about the upstream is implied. |
internal server error | Anything unclassified. |
A timeout is never a call-level error: an item that runs out of time gets status: "timeout", and a call where every item timed out still returns all of them with that status. The all-failed messages only fire when no item succeeded or timed out.
text/plain responses yield nothing and come back as status: "failed". Raw-file hosts are the common case: raw.githubusercontent.com, github.com/.../raw/..., cdn.jsdelivr.net. Scrape the rendered page instead of the raw file.status: "success". Treat image results as best-effort and verify them before showing them to a user.Pick whichever fits — all of them give the identical server.
Container (no Go toolchain needed):
docker pull ghcr.io/role1776/mcp-retrieval:latest
Prebuilt binary — grab the archive for your platform from the latest release, unpack it, and put mcp-retrieval on your PATH.
MCP Bundle — for clients that install .mcpb files, download mcp-retrieval_ _ _ .mcpb from the latest release and open it with your client. The bundle carries the compiled binary, so it needs neither Docker nor Go. Pick the file matching your OS *and* CPU architecture: a bundle holds one native binary.
From source:
go install github.com/Role1776/mcp-retrieval/app/cmd/mcp-retrieval@latest # needs Go 1.25.5+
Or build the binary in place (the Go module lives in app/):
make build # -> bin/mcp-retrieval
# defaults: stdio transport, no configuration needed
./bin/mcp-retrieval
./bin/mcp-retrieval -env /absolute/path/to/.env
The one flag is optional:
| Flag | Meaning |
|---|---|
-env | Path to a .env file. If omitted — or if the file does not exist — the server starts on defaults and whatever is already in the environment. There is no implicit lookup: under stdio the working directory is chosen by the MCP client, so a relative default would be unpredictable. |
Point your client at the built binary. Example Claude Desktop config:
{
"mcpServers": { "retrieval": { "command": "/absolute/path/to/mcp-retrieval", "env": { "MAX_RESULTS": "20" } } } }
The env block is optional — "command" alone is enough.
Run the image on stdio. Configuration still travels through the env block, but Docker needs each variable named on the command line with -e for it to reach the process:
{
"mcpServers": { "retrieval": { "command": "docker", "args": [ "run", "-i", "--rm", "-e", "MAX_RESULTS", "-e", "DEFAULT_TIMEOUT_MS", "ghcr.io/role1776/mcp-retrieval:latest" ], "env": { "MAX_RESULTS": "20", "DEFAULT_TIMEOUT_MS": "5000" } } } }
-i is required — without it the container gets no stdin and the client sees the server die immediately. Clients that install from the MCP Registry build this invocation themselves and prompt for the variables declared in server.json.
Set MCP_TRANSPORT=http and the server listens on SERVER_PORT at MCP_PATH (default http://localhost:8080/mcp).
Everything is configured through environment variables, and each value is validated before startup: a non-numeric or non-positive value is a startup error (the *_IN_FLIGHT caps also accept 0). Relationships *between* limits are not checked at startup — see Limits. Variables already present in the environment win over a .env file, so
Solo se muestra el principio; lee el resto en el repo