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Databridge Kit

by CloudCorpRecordsversion 0.1.0i★ –iRuns on your computer
Registry nameio.github.CloudCorpRecords/databridge-kit

Install

Overview

Description from the maker (original English)

Execute SQL and inspect tables, views, schemas and more on a configured database.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Databases & datasets

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "databridge-kit": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/databridge-kit",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add databridge-kit -- npx -y @reneturcios/databridge-kit mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "databridge-kit": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/databridge-kit",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "databridge-kit": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/databridge-kit",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account CloudCorpRecords, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Databases & datasetsi

  • More stars than 0% of the other 953 servers in this category
  • Published to the registry more recently than 85% of the other 953 servers in this category
  • Basic checks equal to or better than 100% of the other 953 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Databridge Kit safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 6 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker on your computer.

What can I use instead?

In the same category: Supabase, MongoDB MCP Server, Elasticsearch MCP Server

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Supabase

by supabase

Supabase’s official server lets AI create tables, query data and review project settings in your Supabase database.

Computer or cloud★ 2,993Apache-2.0Updated yesterday
Install

MongoDB MCP Server

by mongodb-js

MongoDB Model Context Protocol Server

Runs on your computer★ 1,157Apache-2.0Updated 2 days ago
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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

databridge-kit

databridge-kit is a small bridge between an agent (or a terminal) and one configured PostgreSQL database. It can run a single SQL statement and answer the seven inspection questions that come up constantly while exploring an unfamiliar database: which tables, views, schemas, triggers, indexes, sequences and stored procedures exist.

The toolset mirrors the documented prebuilt Postgres toolset of a config-defined database toolbox: the tools are fixed, the database is whatever the connection string points at. There is no bundled database driver — statements run through the psql command-line client, so a machine that wants live answers needs psql on its PATH. Without it — or without a connection string — the server still starts and lists its tools; only the calls themselves report the problem.

Install

npx @reneturcios/databridge-kit list-tables postgres://user@localhost:5432/mydb

Or run the container image:

docker run -i ghcr.io/cloudcorprecords/databridge-kit

The container defaults to the MCP server (see below). Pass CLI arguments to use it as a CLI instead.

CLI

# Run one SQL statement; rows print as JSON

databridge-kit execute-sql postgres://alice@localhost/shop "SELECT id, name FROM products ORDER BY id"

Inspection commands; each prints its rows as JSON

databridge-kit list-tables postgres://alice@localhost/shop databridge-kit list-views postgres://alice@localhost/shop databridge-kit list-schemas postgres://alice@localhost/shop databridge-kit list-triggers postgres://alice@localhost/shop databridge-kit list-indexes postgres://alice@localhost/shop databridge-kit list-sequences postgres://alice@localhost/shop databridge-kit list-stored-procedures postgres://alice@localhost/shop

Start the MCP server (connection string optional, see below)

databridge-kit mcp postgres://alice@localhost/shop

databridge-kit --version

Exit codes: 0 on success, 1 when the statement, the connection string, or psql itself fails (the error says which), 2 for usage errors.

The connection string is a normal PostgreSQL URL: postgres:// or postgresql://, with host, optional port (default 5432), database name from the path, and optional user and password in the userinfo. For the mcp command the string can be left off the command line and supplied through the DATABRIDGE_DATABASE_URL environment variable instead (plain DATABASE_URL works too).

How statements and inspections work

execute_sql accepts exactly one statement per call. Semicolons inside string literals and comments do not count as statement boundaries, but a second real statement is rejected before anything reaches the database. The statement type is not restricted — this is a general bridge, so a caller who can reach it can write as well as read; point it only at databases where that is intended.

Each inspection tool runs one fixed catalogue query:

ToolCatalogue read
list_tablesinformation_schema.tables (base tables)
list_viewsinformation_schema.views
list_schemasinformation_schema.schemata
list_triggersinformation_schema.triggers
list_indexespg_indexes
list_sequencesinformation_schema.sequences
list_stored_procedureinformation_schema.routines

Statements run as psql -v ON_ERROR_STOP=1 --csv -c and the CSV output is parsed into row objects. Values come back as the strings psql rendered.

MCP server

One bin serves both faces. The mcp subcommand starts a stdio MCP server:

npx -y @reneturcios/databridge-kit mcp postgres://alice@localhost/shop

MCP client configuration:

{

"mcpServers": { "databridge-kit": { "command": "npx", "args": ["-y", "@reneturcios/databridge-kit", "mcp"], "env": { "DATABRIDGE_DATABASE_URL": "postgres://alice@localhost/shop" } } } }

Tools
ToolInputWhat it returns
execute_sqlsql (string, required) — one SQL statementThe result rows as a JSON array of objects keyed by column name.
list_tables—Rows describing the base tables in the configured source.
list_views—Rows describing the views in the configured source.
list_schemas—Rows describing the schemas in the configured source.
list_triggers—Rows describing the triggers in the configured source.
list_indexes—Rows describing the indexes in the configured source.
list_sequences—Rows describing the sequences in the configured source.
list_stored_procedure—Rows describing the stored procedures (routines) in the configured source.

A missing connection, a missing psql, a multi-statement execute_sql, and database errors all come back as tool errors — never as made-up rows.

Development

npm install

npm run build # tsc -> dist/ npm test # node test runner over test/*.test.ts, no network, no live database npm run dev # run the CLI from source via tsx

The core logic sits behind an injectable executor interface, which is what the test suite drives: connection-string parsing, the single-statement check, pass-through execution, error propagation, and the exact catalogue SQL behind every inspection tool are all covered with a fake executor.

License

MIT — see LICENSE.

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