Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Beschreibung vom Entwickler (englisches Original)
Local Go MCP server: DuckDuckGo/Bing web + image search, readability scraping to Markdown.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
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_PASSWORDAls geheim markierte Werte sind Schlüssel zu deinem Konto. Gib sie nie weiter und füge sie nie in einen Chat ein.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Die .mcpb-Datei des Entwicklers herunterladen
Der Link führt zur Datei des Entwicklers selbst; wir hosten sie nicht und verpacken sie nicht neu. Öffne die Datei, dann installiert Claude Desktop sie.
Führe das in deinem Terminal aus
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:0.1.10Trag die leeren Werte ein, bevor du ihn startest.
In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"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"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"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"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
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 envDiese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 7. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto Role1776 bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Das musst du eintragen: PROXY_LOGIN, PROXY_PASSWORD
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.1.10) kam vor 13 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Docker, MCPB auf deinem Computer.
In derselben Kategorie: Figma Context MCP, Claude Real Video, Figma MCP Server
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
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.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
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
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