Supabase
MCP server for interacting with the Supabase platform
作者提供的说明(英文原文)
An MCP server for Text2SQL: transforms natural language into SQL using graph schema understanding.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"queryweaver": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"docker.io/falkordb/queryweaver:0.0.11"
]
}
}
}在终端中运行这条命令
claude mcp add queryweaver -- docker run -i --rm docker.io/falkordb/queryweaver:0.0.11粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"queryweaver": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"docker.io/falkordb/queryweaver:0.0.11"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"queryweaver": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"docker.io/falkordb/queryweaver:0.0.11"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日
注册名称已通过域名 falkordb.com 验证(注册中心会核实域名所有权)
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.0.11)于14个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Docker。
同一分类中有:Supabase, MongoDB MCP Server, Elasticsearch MCP Server
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
MCP server for interacting with the Supabase platform
MongoDB Model Context Protocol Server
MCP server for interacting with Elasticsearch
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
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: ap只显示了开头部分;其余内容请在仓库中阅读