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PopNx MCPMCP servers for people who use AI · explained in plain words

Db Access MCP

by Rheopyrinversion 0.1.5i★ 0iRuns on your computer
Registry nameio.github.Rheopyrin/db-access-mcp

Install

Overview

Description from the maker (original English)

MCP server for Postgres/MySQL/Redshift/SQL Server over SSH/SSM tunnels with secret providers.

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: 2 of 2 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

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": {
    "db-access": {
      "command": "npx",
      "args": [
        "-y",
        "@rheopyrin/db-access-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add db-access -- npx -y @rheopyrin/db-access-mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "db-access": {
      "command": "npx",
      "args": [
        "-y",
        "@rheopyrin/db-access-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": {
    "db-access": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@rheopyrin/db-access-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.

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Run on your computer in

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast

All apps, with pros and cons →

Related guides

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 11, 2026

  • ✓ Pass

    Maker matches the repo

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

  • ✓ Pass

    Still maintained

    Code last changed 2 months ago

  • … 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

Discussion

Ask, share a tip or report that it does not work. Sorted by what people marked helpful.

No posts yet. Be the first to ask or share.

Posts here are written by users, not the PopNx team.

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User reviews

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Compared with others in Databases & datasetsi

  • More stars than 0% of the other 1161 servers in this category
  • Published to the registry more recently than 30% of the other 1161 servers in this category
  • Basic checks equal to or better than 100% of the other 1161 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 Db Access MCP safe?

It passed 2 of 2 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 2 months ago, and the latest version (0.1.5) reached the registry 2 months 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 on your computer.

What can I use instead?

In the same category: Dbx, MCP Toolbox for Databases, MCP Toolbox for Databases

Alternatives

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

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

Dbx

Query databases from AI agents using connections configured in DBX.

by t8y2Widely used↓ 9.4K/wk★ 29.9KUpdated 6 months ago

Runs on your computer

MCP Toolbox for Databases

MCP Toolbox for Databases enables your agent to connect to your database.

by googleapisWidely used★ 16.8KUpdated 5 days ago

Runs on your computer

MCP Toolbox for Databases

MCP Toolbox for Databases enables your agent to connect to your database.

by googleapisWidely used★ 16.8KUpdated 8 months ago

Runs on your computer

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.

db-access-mcp

MCP (Model Context Protocol) stdio server that gives AI agents (Claude Code, Claude Desktop, any MCP client) access to configured databases:

  • PostgreSQL (≥ 10)
  • MySQL (≥ 5; read-only sessions require ≥ 5.6)
  • Amazon Redshift
  • Microsoft SQL Server (via tedious)

with SSH / AWS SSM tunnels, pluggable secret providers (env vars, HashiCorp Vault, AWS Secrets Manager) and strict per-instance isolation — many MCP instances can run concurrently on one machine without sharing connections or tunnels, and crashed instances never leave orphaned tunnel processes behind.

Highlights

Tools: connection_list / connection_find / connection_test, query, query_plan (EXPLAIN), query_to_file (streamed CSV/JSONL export that bypasses the model context), up_tunnel / down_tunnel / tunnel_list, config_reload (pick up new connections/tunnels without a restart).

Security-first design:

  • Verified SSH tunnels — the bastion host key is checked against a host_key_sha256 pin or known_hosts, failing closed on mismatch (MITM defence), not blindly trusted.
  • `read_only` seatbelt + single-statement-by-default, which also closes the SET session read-only off; INSERT … bypass.
  • Confined file exports — query_to_file writes only under the export dir or an allow_export_paths root; it cannot clobber ~/.ssh, dotfiles or the config dir.
  • No secrets leak out — tools never return stacks or credentials; logs redact by key name *and* scrub inline user:password@host URIs.
  • Pluggable secret providers — env vars, HashiCorp Vault (dynamic leases with auto-refresh and atomic pool swaps), AWS Secrets Manager, RDS IAM auth tokens and temporary Redshift credentials.

Tunnels & crash-safety: in-process SSH (dies with the process — no orphaned ports) and AWS SSM under a watchdog (killed even on SIGKILL), with AWS SSO bootstrap. Every instance's pools and tunnels are isolated; a crashed instance's tunnels are reaped by the next start.

Quick start

// Claude Code / Claude Desktop MCP config

{ "mcpServers": { "db-access-mcp": { "command": "npx", "args": ["-y", "@rheopyrin/db-access-mcp"] } } }

On first start the server creates the working directory ~/.db_acess_mcp (intentional spelling — it is the product contract) with an empty config.json, an empty conf.d/ directory and a full config.example.json covering every dialect, secret provider and tunnel type. The export directory (default /tmp/db-access-mcp/exports) is not created up front — query_to_file makes it on demand on the first export. Edit ~/.db_acess_mcp/config.json, restart the MCP server, done.

Integrating the MCP

The server speaks MCP over stdio: any client that can spawn npx -y @rheopyrin/db-access-mcp (or node /dist/cli.js for a local build) can use it. Every spawned instance is fully isolated — its own pools, tunnels and idle timers — so it is safe to register it in several clients/sessions at once.

Claude Code
# current project only (writes .mcp.json in the project root)

claude mcp add db-access-mcp -- npx -y @rheopyrin/db-access-mcp

for all your projects

claude mcp add --scope user db-access-mcp -- npx -y @rheopyrin/db-access-mcp

with options (custom config dir, verbose logs, extra env file)

claude mcp add db-access-mcp -- npx -y @rheopyrin/db-access-mcp --workdir ~/.db_acess_mcp --log-level debug --env-file ~/.db_acess_mcp/secrets.env

Check with /mcp inside a session (server status, reconnect). Server stderr logs land in ~/Library/Caches/claude-cli-nodejs/ /mcp-logs-db-access-mcp/ (macOS). After editing config.json, reconnect the server (/mcp) — the config is read at startup only.

Or declare it in the project's .mcp.json directly:

{

"mcpServers": { "db-access-mcp": { "command": "npx", "args": ["-y", "@rheopyrin/db-access-mcp"] } } }

Claude Desktop

Add the same mcpServers block to the config file and restart the app:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
Cursor / other MCP clients

Any stdio-capable client works with the same shape — command npx, args ["-y", "@rheopyrin/db-access-mcp"] (Cursor: ~/.cursor/mcp.json, same mcpServers format). Two things to know:

  • stdout is the protocol — if your client shows a JSON-RPC parse error, make sure nothing wraps the command with extra output; all server logs go to stderr.
  • Pass CLI options via args, e.g. ["-y", "@rheopyrin/db-access-mcp", "--workdir", "/opt/mcp-db", "--log-level", "warn"].
Local build (development)
git clone <repo> && cd db_access_mcp && npm ci && npm run build

claude mcp add db-access-mcp-dev -- node /abs/path/db_access_mcp/dist/cli.js --log-level debug

Trying it without a client
npx -y @modelcontextprotocol/inspector npx -y @rheopyrin/db-access-mcp

opens a web UI listing all tools with call forms and live stderr. A sensible first-session sequence: dialect_list → connection_list → connection_test on one connection → query.

Requirements on the host
  • Node.js ≥ 20.19.
  • For ssm tunnels: AWS CLI + session-manager-plugin on PATH; for the SSO bootstrap a browser (login opens interactively).
  • For ssh tunnels: nothing extra (in-process ssh2 client).
CLI options
db-access-mcp [workdir] [exportdir] [--workdir <dir>] [--exportdir <dir>] [--config <file>] [--env-file <file>]... [--log-level <level>]
OptionEnv varDefault
--workdir (or first positional)DB_ACCESS_MCP_WORKDIR~/.db_acess_mcp
--exportdir (or second positional)DB_ACCESS_MCP_EXPORTDIR/tmp/db-access-mcp/exports
--configDB_ACCESS_MCP_CONFIGdiscovery: /config.json + /conf.d/*.json
--env-file (repeatable)—none
--log-level (debug\info\warn\error\silent)DB_ACCESS_MCP_LOG_LEVELinfo

The workdir holds config.json, conf.d/, config.example.json and the runtime instances/ and sso/ state (unchanged from earlier releases). The exportdir is where query_to_file writes exports (created on demand, not at startup); allow_export_paths adds extra writable roots.

All logs are JSON lines on stderr (stdout belongs to the MCP protocol). Values of keys matching password, token, secret, privateKey etc. are redacted.

MCP tools

ToolWhat it does
dialect_listLists the supported database dialects: name (the type value for connections), default port and the plan format query_plan produces.
connection_listLists configured connections: key, type, description, read_only, host/port/database, tunnel name, metadata. Credentials are never returned (allowlist-based sanitization; connection strings are parsed only for host/port/database).
connection_findFinds connections by host, port, database, type, read_only and/or metadata key-value pairs. All filters are combined with AND. user/password filters are ignored (and noted in the response).
connection_testEnd-to-end health check: secrets → tunnel → pool → one-row server-info query. Returns ok: true with server version/user/database/latency, or ok: false with the failure code and hint (an unreachable DB is a valid result, not a tool error).
queryExecutes SQL on a connection. Accepts connection, query, optional database (see multi-database connections), max_rows and timeout_ms overrides. Results are truncated to the row cap with truncated: true.
query_to_fileExecutes a query and writes the result to a file (csv/jsonl, inferred from the extension) instead of the model context. file_path is relative to the export dir (default /tmp/db-access-mcp/exports, created on demand), or an absolute/~ path under the export dir or a configured allow_export_paths root — writes outside are rejected. Existing files require overwrite: true. postgres/mysql stream rows (no cap by default); redshift/mssql buffer and are capped at 100k rows.
query_planReturns the execution plan without running the query: EXPLAIN (FORMAT JSON) for postgres, EXPLAIN FORMAT=JSON for mysql, text EXPLAIN for redshift, SHOWPLAN_XML for mssql.
up_tunnelOpens (or reuses) the tunnel configured for a connection and returns {host, port, tunnel_id, reused}. Optional local_port binds an exact local port; if the tunnel is already open on a different port or the port is taken, the call fails with the current port in the error.
down_tunnelCloses a tunnel by tunnel_id. By default only the up_tunnel pin is released — if query pools still hold the tunnel it stays open (remaining_holders); force: true drains the holder pools and closes it unconditionally.
tunnel_listLists the tunnels currently open in this MCP instance with a live health probe: tunnel_id, tunnel name/type, local and remote endpoints, healthy, holder pools (connections), up_tunnel pins, external PIDs.
config_reloadRe-reads the config files into the running server so connections/tunnels added or edited on disk become usable without a restart. Never disturbs live state — see below.
config_reload

Edit config.json / conf.d/*.json (or the --config file), call config_reload, and the next connection_list, query, up_tunnel, … sees the new definitions. The files are re-read, re-validated (schema + semantics + dialect check) and the config env_files are re-applied before anything is swapped in — an invalid config changes nothing: the server keeps running on the previous configuration and the tool returns the validation error.

The reload is deliberately non-disruptive: open pools and running tunnels are never closed, drained, recreated or reconfigured, even when their definition changed or was removed from the file. They keep the definition they were created with until they are closed the normal way (idle timeout, down_tunnel, server exit); the next pool/tunnel created after that uses the new definition. Every such case is listed in the response's warnings.

Response: files (what was read), connections and tunnels as {added, removed, changed, unchanged}, the pool_defaults_changed / limits_changed / env_files_changed flags, and warnings. Per-call and per-connection limits are read at call time, so they take effect immediately; pool settings only apply to pools created after the reload.

Security note for query_to_file: writes are confined to the export dir (default /tmp/db-access-mcp/exports) plus any roots listed in allow_export_paths (e.g. ["/tmp", "~/data_files"]) — every subpath below a listed root is allowed, anything else is rejected, so the tool cannot clobber ~/.ssh, dotfiles or the workdir. It only ever creates files (no reads, no appends) and refuses to overwrite without an explicit overwrite: true. Cells are written verbatim; be mindful of CSV-injection when opening exports in Excel.

Configuratio

Only the beginning is shown; read the rest in the repo