Supabase
MCP server for interacting with the Supabase platform
作者提供的说明(英文原文)
SQL validation, formatting, parsing, metadata extraction, linting, and security analysis.
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 …”。
适用于网页版、桌面版和手机版 Claude:
https://mcp.gosqlx.dev/mcp在终端中运行这条命令
claude mcp add --transport http gosqlx https://mcp.gosqlx.dev/mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"gosqlx": {
"url": "https://mcp.gosqlx.dev/mcp"
}
}
}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": {
"gosqlx": {
"type": "http",
"url": "https://mcp.gosqlx.dev/mcp"
}
}
}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。
ChatGPT 只能连接互联网上的服务器:
https://mcp.gosqlx.dev/mcp菜单名称可能因套餐和版本不同而略有差异。
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。
工具名称和描述与服务器在 2026年11月6日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。
analyze_sqlUse this when the user wants a complete review of a SQL query. Runs validate, parse, metadata, security, lint, and format concurrently and returns one composite report; hosts that support MCP Apps render it as an interactive report.
extract_metadataUse this when the user wants the tables, columns, and functions a SQL query references (e.g. for lineage or impact analysis). Returns {tables, columns, functions}.
format_sqlUse this when the user wants SQL pretty-printed or reformatted: one clause per line, optional upper-case keywords and trailing semicolon. Comments are preserved; unplaceable optimizer hints are refused. Returns {formatted_sql, options}.
lint_sqlUse this when the user wants SQL style feedback. Applies the same 10 rules as `gosqlx lint`: L001 trailing whitespace, L002 mixed indentation, L003 consecutive blank lines, L004 indentation depth, L005 line length (>100), L006 column alignment, L007 keyword case (upper), L008 com
parse_sqlUse this when the user wants to know how SQL parses: returns an AST summary with the statement count and the type of each statement, optionally for a specific dialect. GO batch separators are excluded from the count.
security_scanUse this when the user wants SQL checked for injection patterns: tautologies, UNION attacks, stacked queries, comment bypasses, and more. Returns findings with severity counts.
validate_sqlUse this when the user wants to know whether a SQL statement is syntactically valid, optionally for a specific dialect. Returns {valid: bool, error?: string, dialect?: string}.
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7日
注册名称已通过 GitHub 账户 ajitpratap0 验证,该账户拥有此仓库
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
在 291 毫秒内响应(HTTP 200)
无需登录
已读取 7 个工具描述,未发现针对 AI 的隐藏指令
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 3 项适用的基础检查中通过了 3 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。
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(1.17.0)于7天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
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。
Pure-Go SQL parser, formatter, linter and security scanner for 8 dialects.
[Playground](https://gosqlx.dev/playground/) · [Docs](https://gosqlx.dev/docs/) · [Benchmarks](https://gosqlx.dev/benchmarks/) · [VS Code](https://marketplace.visualstudio.com/items?itemName=ajitpratap0.gosqlx) · [MCP server](#mcp-server)
| ~2.8M parses/sec† | 363 ns parse latency† | ~80–85% SQL-99 (est.) | 8 dialects | 0 race conditions |
|---|
† Parse stage only (pre-tokenized input to AST), SELECT id, name FROM users, Apple M4, Go 1.27, median of 20 runs of BenchmarkPerformanceBaseline. Complex queries take longer (see performance_baselines.json). Reproduce: go test -run ^$ -bench BenchmarkPerformanceBaseline -benchmem -count=20 ./pkg/sql/parser/.
GoSQLX is a production-ready SQL parsing SDK for Go. It tokenizes, parses, and generates ASTs from SQL with zero-copy optimizations and intelligent object pooling - parsing a simple SELECT in about 363 ns (~2.8M parses/sec) .
go get github.com/ajitpratap0/GoSQLX
go install github.com/ajitpratap0/GoSQLX/cmd/gosqlx@latest
code --install-extension ajitpratap0.gosqlx
The extension bundles the binary, so there is no extra setup. Learn more.
claude mcp add --transport http gosqlx https://mcp.gosqlx.dev/mcp
7 SQL tools in Claude, Cursor, or any MCP client. MCP guide.
Claude Code plugin (skills, slash commands, SQL reviewer agent): /plugin marketplace add ajitpratap0/GoSQLX then /plugin install gosqlx@gosqlx - details.
ChatGPT app: add https://mcp.gosqlx.dev/mcp as a connector in developer mode for an interactive analysis widget - details.
- uses: ajitpratap0/GoSQLX@v1
with: files: '**/*.sql' validate: true
Source: examples/readme_quickstart/main.go, compiled in CI against HEAD and the latest release.
package main
import ( "context" "errors" "fmt" "log"
"github.com/ajitpratap0/GoSQLX/pkg/gosqlx" "github.com/ajitpratap0/GoSQLX/pkg/sql/ast" )
func main() { ctx := context.Background()
// ParseTree is the recommended entry point. It returns an // opaque handle with built-in helpers. tree, err := gosqlx.ParseTree(ctx, "SELECT id, name FROM users WHERE active = true", gosqlx.WithDialect("postgresql")) if err != nil { // Sentinel errors work with errors.Is if errors.Is(err, gosqlx.ErrSyntax) { log.Fatalf("syntax error: %v", err) } log.Fatal(err) } fmt.Println("Tables:", tree.Tables()) fmt.Println(tree.Format(gosqlx.WithIndent(2), gosqlx.WithUppercaseKeywords(true)))
// Walk the AST - typed walkers avoid the type-assertion dance: tree.WalkSelects(func(s *ast.SelectStatement) bool { fmt.Printf(" SELECT with %d columns\n", len(s.Columns)) return true })
// The legacy Parse/Format/Validate API still works for v1.x code. // See docs/MIGRATION.md for the Tree migration guide. }
Output:
Tables: [users]
SELECT id, name FROM users WHERE active = true SELECT with 2 columns
Formatting turns one-line SQL into a readable query:
gosqlx highlight query.sql or gosqlx.HighlightANSI(sql).--dialect flag and WithDialect accept 11 names: those 8 (postgresql, mysql, mariadb, sqlserver, oracle, sqlite, snowflake, clickhouse) plus generic, bigquery and redshift. BigQuery and Redshift have no dialect-specific keyword set (they use the generic keywords) and only capability-gated grammar, such as BigQuery's QUALIFY, PIVOT/UNPIVOT, UNNEST in FROM and (struct).field access.GoSQLX is built by contributors like you. Whether it's a bug fix, new feature, documentation improvement, or just a typo - every contribution matters.
git clone https://github.com/ajitpratap0/GoSQLX.git && cd GoSQLX
task check # fmt → vet → lint → test (with race detection)
mainContributing Guide · Code of Conduct · Governance
Questions or ideas: Discussions. Found a bug or want a feature: Issues.
Apache License 2.0 - see LICENSE for details.
[gosqlx.dev](https://gosqlx.dev) · [Playground](https://gosqlx.dev/playground/) · [Docs](https://gosqlx.dev/docs/) · [MCP Server](https://gosqlx.dev/docs/integrations/mcp/) · [VS Code](https://marketplace.visualstudio.com/items?itemName=ajitpratap0.gosqlx)