Supabase
Supabase’s official server lets AI create tables, query data and review project settings in your Supabase database.
Description from the maker (original English)
Secure access to DBHawk datasources: browse schemas, run governed queries, DBHawk AI text-to-SQL.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
DBHAWK_BASE_URL, DBHAWK_TOKEN, DBHAWK_DEFAULT_DATASOURCEValues marked secret are keys to your account. Never share them or paste them into a chat.
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": {
"dbhawk": {
"command": "npx",
"args": [
"-y",
"@dbhawk/mcp"
],
"env": {
"DBHAWK_BASE_URL": "your-value",
"DBHAWK_TOKEN": "your-value",
"DBHAWK_DEFAULT_DATASOURCE": "your-value"
}
}
}
}Run this in your terminal
claude mcp add dbhawk --env DBHAWK_BASE_URL=your-value --env DBHAWK_TOKEN=your-value --env DBHAWK_DEFAULT_DATASOURCE=your-value -- npx -y @dbhawk/mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"dbhawk": {
"command": "npx",
"args": [
"-y",
"@dbhawk/mcp"
],
"env": {
"DBHAWK_BASE_URL": "your-value",
"DBHAWK_TOKEN": "your-value",
"DBHAWK_DEFAULT_DATASOURCE": "your-value"
}
}
}
}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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"dbhawk": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@dbhawk/mcp"
],
"env": {
"DBHAWK_BASE_URL": "your-value",
"DBHAWK_TOKEN": "your-value",
"DBHAWK_DEFAULT_DATASOURCE": "your-value"
}
}
}
}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.
DBHAWK_DEFAULT_DATASOURCE envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified against the domain datasparc.com (the registry checks domain ownership)
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
You need to fill in: DBHAWK_BASE_URL, DBHAWK_TOKEN
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).
The GitHub repo last changed –, and the latest version (0.4.2) reached the registry 20 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Supabase, MongoDB MCP Server, Elasticsearch MCP Server
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’s official server lets AI create tables, query data and review project settings in your Supabase database.
MongoDB Model Context Protocol Server
MCP server for interacting with Elasticsearch
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.
Gives an AI assistant access to DBHawk: list the datasources a user is assigned, browse schema/tables/columns, run queries (with the user's access control and column masking applied), and use DBHawk AI text-to-SQL / optimize / format. Data or schema changes are possible only when the user's MCP tier allows them — the default tier is read-only (see Reads, writes and MCP tiers).
It's a thin bridge over the existing DBHawk REST surface at /api/v2/mcp/**. DBHawk decides what runs: every statement is classified and checked against the tier of the user's groups, whatever role the token owner has.
Sign in, or a personal token. Leave DBHAWK_TOKEN empty and the server signs in to DBHawk through the browser on the first tool call: the DBHawk login page opens (password, LDAP, 2FA or SSO - whatever your DBHawk offers), you approve the access once, and the server keeps a refresh token in your user profile for the next start (%APPDATA%\dbhawk-mcp on Windows, ~/Library/Application Support/dbhawk-mcp on macOS, ~/.config/dbhawk-mcp on Linux). This needs DBHawk 7.0.1 with the MCP connector; what you may do is decided by your MCP tier, exactly as with a token. See UPGRADE-7.1.0.md.
With a personal token, auth is two steps. DBHAWK_TOKEN is a personal token (dbh_ . ), not a JWT — the MCP endpoints won't accept it directly. On its first call the server exchanges it for a short-lived JWT at POST /api/v2/auth/token/exchange (sending the personal token in the X-API-Token header), caches that JWT, and sends it as the Bearer for every /api/v2/mcp/** call. Shortly before the JWT's exp the server exchanges a fresh one up front; if a call still gets a 401 it re-exchanges and retries once — transparent to you.
dbhawk-mcp-plugin/ <- this folder = a Claude Code "marketplace" (push it to git)
├── .claude-plugin/marketplace.json └── dbhawk/ <- the actual plugin (installed by users) ├── .claude-plugin/plugin.json ├── .mcp.json <- declares the "dbhawk" stdio MCP server └── mcp-server/ ├── index.js <- source ├── package.json <- build tooling (maintainers only) └── dist/dbhawk-mcp.mjs <- COMMITTED self-contained bundle (what users run; no npm install)
The bundle in dist/ inlines every dependency, so a bare `git clone` runs with zero install — that's what makes /plugin install work.
Once this repo is on GitHub (see *Publish* below), point Claude Code at it and install:
/plugin marketplace add datasparc/dbhawk-mcp-plugin
/plugin install dbhawk@dbhawk-marketplace
dbhawk is the plugin name, dbhawk-marketplace is the marketplace name (from marketplace.json). Then set the connection (see *Configure*) and check the tools are live with /mcp.
Prefer to try it without a git host? Load the local folder for one session:
claude --plugin-dir ./dbhawk-mcp-plugin/dbhawk
.mcpb) — recommendedClaude Desktop installs this as a Desktop Extension with a proper GUI settings form (no JSON editing). It's the same MCP server, packaged as an .mcpb bundle.
dbhawk- .mcpb from the Releases page..mcpb onto the Extensions window).Claude Desktop does not auto-update file-installed extensions: to upgrade, download the newer .mcpb and install it again. This is independent of the Claude Code plugin — you don't need the marketplace plugin installed.
Prefer to wire it by hand instead of the .mcpb? Point Desktop at the bundle with an absolute path. Edit claude_desktop_config.json (Windows: %APPDATA%\Claude\claude_desktop_config.json, macOS: ~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": { "dbhawk": { "command": "C:\\Program Files\\nodejs\\node.exe", "args": ["C:\\...\\dbhawk-mcp-plugin\\dbhawk\\mcp-server\\dist\\dbhawk-mcp.mjs"], "env": { "DBHAWK_BASE_URL": "https://demo.dbhawk.example.com", "DBHAWK_TOKEN": "PASTE_MCP_TOKEN_HERE", "DBHAWK_DEFAULT_DATASOURCE": "" } } } }
Restart Claude Desktop fully (including the tray icon).
The server needs three values (the token owner needs ACCESS_TO_DATA):
| Setting | Required | Meaning |
|---|---|---|
Base URL (DBHAWK_BASE_URL) | yes | Base URL of DBHawk, e.g. https://demo.dbhawk.example.com (no trailing /api) |
API Token (DBHAWK_TOKEN) | no | Empty: sign in through the browser on first use (DBHawk 7.0.1+). Otherwise an MCP-scoped personal token (dbh_…): DBHawk → User Profile → API Token. Exchanged for a JWT at runtime — paste the personal token as-is, not a JWT |
Default Datasource (DBHAWK_DEFAULT_DATASOURCE) | no | Datasource used when a tool call omits datasource |
The plugin declares these as userConfig fields in dbhawk/.claude-plugin/plugin.json, so Claude Code prompts for them when you enable the plugin — the token field is sensitive, so it's masked on entry and stored in secure storage (OS keychain / ~/.claude/.credentials.json), never in settings.json or git. dbhawk/.mcp.json wires them in via ${user_config.dbhawk_token} etc.
To re-enter or change them later, re-enable the plugin, or set them non-interactively:
claude plugin install dbhawk@dbhawk-marketplace \
--config dbhawk_base_url=https://demo.dbhawk.example.com \ --config dbhawk_token=dbh_... \ --config dbhawk_default_datasource=
Desktop doesn't understand plugins or userConfig — pass the three values as env in the claude_desktop_config.json block shown above.
| Tool | DBHawk endpoint |
|---|---|
list_datasources | GET /datasources |
get_datasource | GET /datasources/{ds} |
list_catalogs | GET /datasources/{ds}/catalogs (MSSQL / Snowflake; empty for DBs with no catalog level) |
list_schemas | GET /datasources/{ds}/schemas |
list_objects | GET /datasources/{ds}/schemas/{schema}/objects |
list_columns | GET /datasources/{ds}/schemas/{schema}/objects/{object}/columns |
get_permissions | GET /permissions (the user's MCP tier(s), allowed operations, row cap, confirmations) |
run_query | POST /datasources/{ds}/query with readOnly: true (reads only, even if the tier allows writes; row-capped 200/5000) |
explain_plan | POST /datasources/{ds}/explain (execution plan built and read on one connection; the statement is never executed; needs explain_plan in the tier) |
list_sessions | GET /datasources/{ds}/sessions (active database sessions; needs active_sessions) |
kill_session | POST /datasources/{ds}/sessions/{id}/kill (ends one listed session; destructive, confirm flow; needs kill_session) |
execute_statement | POST /datasources/{ds}/query (data / schema change, only if the MCP tier allows it; confirm flow) |
text_to_sql | POST /datasources/{ds}/ai/ask |
optimize_sql | POST /datasources/{ds}/ai/optimize |
format_sql | POST /format-query |
list_jobs | GET /jobs (your own scheduled jobs; needs view_jobs) |
get_job | GET /jobs/{id} (SQL, schedule, output, delivery; needs view_jobs) |
list_job_executions | GET /jobs/{id}/executions (latest runs with the end of their logs; needs view_jobs) |
explain_cron | POST /jobs/cron/explain (validates and describes a Quartz cron expression) |
create_job | POST /jobs (export job of ONE statement, results to your File Manager or by e-mail - delivery, emailTo, recipients in DBHawk's Allowed Domains; needs manage_jobs + the statement's operations; confirm flow, always when it e-mails anyone but you) |
update_job | PUT /jobs/{id} (fields left out keep their value; delivery switches between File Manager and e-mail; confirm flow) |
delete_job | POST /jobs/{id}/delete (confirm flow; needs manage_jobs) |
pause_job / resume_job | POST /jobs/{id}/pause · /resume (resume re-checks the job's SQL against the tier; confirm flow) |
run_job / interrupt_job | POST /jobs/{id}/run · /interrupt (needs run_jobs; run re-checks the job's SQL; confirm flow) |
The job tools need a DBHawk server with the MCP job scheduler (migration 87 adds view_jobs, manage_jobs and run_jobs, granted to the *Destructive / admin* tier only) and the Job Scheduler license.
The job tools are interactive where the client allows it, but always in plain text:
ui://dbhawk/jobs resource, and no tool carries _meta.ui.resourceUri. A client that shows MCP Apps is asked in a form like any other. To bring it back, uncomment the marked blocks in mcp-server/index.js.create_job asks you for whatever the model left out (datasource, name, SQL, schedule, format, delivery). The schedule and the output are never taken from the model unseen: when it brings a valid cron, a format and a delivery, you get one question instead ("Schedule ... Result ... Delivery ... Is that right?"), and clearing the box opens the whole form on what it proposed. update_job with only a job id opens the job in a form, and a call your MCP tier wants confirmed asks you in a form. Declining changes nothing.create_job is filled in with you in the chat, one question at a time - DBHawk answers with the next question (datasource, name, SQL, schedule, format, delivery) instead of an error, and the assistant puts it to you and calls the tool again with your answer. Each is asked only where the model has not been told it; the schedule, the format and the delivery are never taken from it unseen - where it has all three, they go to you as one question ("Is that right?"), and if you want one of them changed the assistant calls again without it and DBHawk asks you for it. A cron DBHawk cannot read is asked again with the reason, and the confirmation your tier wants is still asked before anything is created.mcp-server/ui/jobs.html stays in the repository (a copy of DBHawk's own src/main/resources/mcp/ui/jobs.html) but is no longer bundled or served.
What a user may do is set in DBHawk, per user group, by its MCP tier (Admin → MCP Management → MCP Tiers). The default tier is read-only; higher tiers add EXPLAIN, DML (INSERT / UPDATE / DELETE / MERGE), DDL and admin operations. get_permissions tells the model what its tier allows.
Reads and writes are separate tools on purpose. run_query is annotated read-only (readOnlyHint), and DBHawk refuses a write sent through it even when the tier allows one. execute_statement is annotated destructive (destructiveHint), so MCP clients such as Claude ask the user before each call - keep it that way, do not "always allow" it. When the tier also asks for confirmation, DBHawk answers the first call with `{ confirmationRequir
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