Supabase
MCP server for interacting with the Supabase platform
Beschreibung vom Entwickler (englisches Original)
An MCP server for Text2SQL: transforms natural language into SQL using graph schema understanding.
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.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"queryweaver": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"docker.io/falkordb/queryweaver:0.0.11"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add queryweaver -- docker run -i --rm docker.io/falkordb/queryweaver:0.0.11In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"queryweaver": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"docker.io/falkordb/queryweaver:0.0.11"
]
}
}
}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": {
"queryweaver": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"docker.io/falkordb/queryweaver:0.0.11"
]
}
}
}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.
Diese 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 6. Nov. 2026
Der Registry-Name wurde über die Domain falkordb.com bestätigt (die Registry prüft, wem die Domain 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.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
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 (0.0.11) kam vor 14 Monaten in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Docker auf deinem Computer.
In derselben Kategorie: Supabase, MongoDB MCP Server, Elasticsearch 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
MCP server for interacting with the Supabase platform
MongoDB Model Context Protocol Server
MCP server for interacting with Elasticsearch
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.
QueryWeaver (Text2SQL)
REST API · MCP · Graph-powered
QueryWeaver is an open-source Text2SQL tool that converts plain-English questions into SQL using graph-powered schema understanding. It helps you ask databases natural-language questions and returns SQL and results.
Connect and ask questions:
💡 Recommended for evaluation purposes (Local Python or Node are not required)
docker run -p 5000:5000 -it falkordb/queryweaver
Launch: http://localhost:5000
Create a local .env by copying .env.example and passing it to Docker. This is the simplest way to provide all required configuration:
cp .env.example .env
docker run -p 5000:5000 --env-file .env falkordb/queryweaver
If you prefer to pass variables on the command line, use -e flags (less convenient for many variables):
docker run -p 5000:5000 -it \
-e APP_ENV=development \ -e FASTAPI_SECRET_KEY=your_super_secret_key_here \ -e GOOGLE_CLIENT_ID=your_google_client_id \ -e GOOGLE_CLIENT_SECRET=your_google_client_secret \ -e GITHUB_CLIENT_ID=your_github_client_id \ -e GITHUB_CLIENT_SECRET=your_github_client_secret \ -e AZURE_API_KEY=your_azure_api_key \ falkordb/queryweaver
APP_ENV=developmentis what makes the login work on the plain-HTTP
http://localhost:5000this command serves. Drop it (or set anything else)
when you put QueryWeaver behind HTTPS, so the session cookie is marked
Secure. See Application environment.
Note: QueryWeaver supports multiple AI providers. You can use
OPENAI_API_KEY,GEMINI_API_KEY,ANTHROPIC_API_KEY, orAZURE_API_KEY. See the AI/LLM configuration section for details.
For a full list of configuration options, consult
.env.example.
QueryWeaver stores per-user conversation memory in FalkorDB. By default these graphs persist indefinitely. Set MEMORY_TTL_SECONDS to apply a Redis TTL (in seconds) so idle memory graphs are automatically cleaned up.
# Expire memory graphs after 1 week of inactivity
MEMORY_TTL_SECONDS=604800
The TTL is refreshed on every user interaction, so active users keep their memory.
QueryWeaver includes optional support for the Model Context Protocol (MCP). You can either have QueryWeaver expose an MCP-compatible HTTP surface (so other services can call QueryWeaver as an MCP server), or configure QueryWeaver to call an external MCP server for model/context services.
What QueryWeaver provides
list_databasesconnect_databasedatabase_schemaquery_databaseDISABLE_MCP=true in your .env or environment (default: MCP enabled).DISABLE_MCP — disable QueryWeaver's built-in MCP HTTP surface. Set to true to disable. Default: false (MCP enabled).Examples
Disable the built-in MCP when running with Docker:
docker run -p 5000:5000 -it --env DISABLE_MCP=true falkordb/queryweaver
Calling the built-in MCP endpoints (example)
Below is a minimal example mcp.json client configuration that targets a local QueryWeaver instance exposing the MCP HTTP surface at /mcp.
{
"servers": { "queryweaver": { "type": "http", "url": "http://127.0.0.1:5000/mcp", "headers": { "Authorization": "Bearer your_token_here" } } }, "inputs": [] }
Swagger UI: https://app.queryweaver.ai/docs
OpenAPI JSON: https://app.queryweaver.ai/openapi.json
QueryWeaver exposes a small REST API for managing graphs (database schemas) and running Text2SQL queries. All endpoints that modify or access user-scoped data require authentication. In the browser the app uses a signed session cookie established by OAuth or email/password; for CLI and scripts you can use an API token (see tokens routes or the web UI to create one).
Core endpoints
Authentication
Authorization: Bearer QueryWeaver keeps its three kinds of "login" independent of one another, so a failure in one never looks like a failure in another:
| Credential | What it proves | Where it lives | Depends on FalkorDB? |
|---|---|---|---|
| Browser login | Who is using the app | Signed session cookie, established once by OAuth or a password | No, once the process is running |
| API token | A script may act as a user | Token node in the Organizations graph, sent as Authorization: Bearer … | Yes |
| Data-source connection | Access to *your* database | Supplied per request, never stored | No (it is your own database) |
Because the browser login is a signed cookie, staying logged in costs no database round trip and survives a FalkorDB outage in an already-running process — you keep your session and only the operations that genuinely need the graph fail. Requests that supply an API token explicitly are always checked against the database and are answered with 503 (not 401) when it cannot be reached, so clients retry instead of re-authenticating.
Note the scope: this is about staying logged in, not about booting. QueryWeaver still connects to FalkorDB at startup and will not start without it, so a restart during an outage is not covered.
A browser login lasts 24 hours by default; set BROWSER_SESSION_TTL_HOURS to change that. Logging out clears the session cookie. No API token is issued to the browser, so there is none to revoke — tokens are created explicitly from the tokens API and revoked there. (A legacy api_token cookie left over from an older release is cleared and revoked on logout too.)
Signing up with an email address and password does not create an account. The submitted details are parked, a six-digit confirmation code is mailed to the address, and the account — and the session — come into being only when that code is typed back into the signup form. So an address the registrant does not control never becomes an account at all, and there is no half-real user for the rest of the system to reason about.
A code rather than an emailed link, because the code has to come back to the session that submitted the form. A link can be opened by anyone who receives it: a stranger could submit your address with a password of their choosing, and your single click would create an account they knew the password to. Nobody can be signed up by someone else here, because the person who fills in the form is the only one who ever holds both halves.
The code is single-use, expires after 15 minutes and tolerates only a handful of wrong guesses before the pending signup is discarded — a short code is only safe while the number of attempts is small. It is also only redeemable in the browser that submitted the form: each submission mints a ticket that stays in that browser's session, and a code presented without its ticket is refused. Entering it signs the browser in directly: the password was chosen minutes earlier, and asking for it again would prove nothing. A code can be re-sent from the same screen, subject to a per-address rate limit; the send budget is per pending signup, so it starts over once the pending signup expires and an address can always be signed up again later. Typing a code that has expired is not one of the wrong guesses and does not discard anything — the pending signup is left where it is so the same screen can send a fresh code.
In development, a message with no mail server configured is written to the application log instead of being sent, so the flow can be completed by copying the code out of the log. This needs APP_ENV=development — anywhere else an unconfigured process refuses the send rather than logging the code and reporting success. Set MAIL_SERVER (plus MAIL_PORT, MAIL_USERNAME, MAIL_PASSWORD, MAIL_DEFAULT_SENDER) to send for real; any provider with an SMTP endpoint works. EMAIL_VERIFICATION_TTL_MINUTES, EMAIL_VERIFICATION_MAX_ATTEMPTS, EMAIL_VERIFICATION_RESEND_SECONDS and EMAIL_VERIFICATION_MAX_SENDS tune the lifetime and the limits. See .env.example for the full list.
The trade-off of a signed session cookie is that it cannot be revoked from the server before it expires: the TTL bounds the damage, and rotating FASTAPI_SECRET_KEY invalidates every browser login at once. API tokens keep their server-side record and so can still be revoked individually and immediately. Shorten BROWSER_SESSION_TTL_HOURS if you need a tighter window.
Examples
curl example:
curl -s -H "Authorization: Bearer $TOKEN" \
https://app.queryweaver.ai/graphs
Python example:
import requests
resp = requests.get('https://app.queryweaver.ai/graphs', headers={'Authorization': f'Bearer {TOKEN}'}) print(resp.json())
curl example:
curl -s -H "Authorization: Bearer $TOKEN" \
https://app.queryweaver.ai/graphs/my_database/data
Python example:
resp = requests.get('https://app.queryweaver.ai/graphs/my_database/data', headers={'Authorization': f'Bearer {TOKEN}'})
print(resp.json())
curl -H "Authorization: Bearer $TOKEN" -H "Content-Type: application/json" \
-d '{"database": "my_database", "tables": [...]}' \ https://app.queryweaver.ai/graphs
Or upload a file (multipart/form-data):
curl -H "Authorization: Bearer $TOKEN" -F "file=@schema.json" \
https://app.queryweaver.ai/graphs
The POST /graphs/{graph_id} endpoint accepts a JSON body with at least a chat field (an array of messages). The endpoint streams processing steps and the final SQL back as server-sent-message chunks delimited by a special boundary used by the frontend. For simple scripting you can call it and read the final JSON object from the streamed messages.
Example payload:
{
"chat": ["How many users signed up last month?"], "result": [], "instructions": "Prefer PostgreSQL compatible SQL" }
curl example (simple, collects whole response):
curl -s -H "Authorization: Bearer $TOKEN" -H "Content-Type: apNur der Anfang wird gezeigt; den Rest findest du im Repo