com.datasparc/dbhawk

Official registry Data and databases

Secure access to DBHawk datasources: browse schemas, run governed queries, DBHawk AI text-to-SQL.

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

NPM package @dbhawk/mcp
Claude Code
claude mcp add dbhawk -e 'DBHAWK_BASE_URL=<DBHAWK_BASE_URL>' -e 'DBHAWK_TOKEN=<your dbhawk_token>' -e 'DBHAWK_DEFAULT_DATASOURCE=<DBHAWK_DEFAULT_DATASOURCE>' -- npx -y @dbhawk/mcp@0.4.2
JSON configuration (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "dbhawk": {
            "command": "npx",
            "args": [
                "-y",
                "@dbhawk/mcp@0.4.2"
            ],
            "env": {
                "DBHAWK_BASE_URL": "<DBHAWK_BASE_URL>",
                "DBHAWK_TOKEN": "<your dbhawk_token>",
                "DBHAWK_DEFAULT_DATASOURCE": "<DBHAWK_DEFAULT_DATASOURCE>"
            }
        }
    }
}

Environment variables

  • DBHAWK_BASE_URL required DBHawk base URL, e.g. https://dbhawk.example.com (no trailing /api)
  • DBHAWK_TOKEN required secret MCP-scoped personal token (dbh_...) from DBHawk User Profile > API Token
  • DBHAWK_DEFAULT_DATASOURCE Datasource used when a request doesn't name one

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. DBHawk MCP — Claude Code plugin + demo connector
  2. For users — install
  3. Configure
  4. Tools
  5. For maintainers — publish & rebuild
  6. Troubleshooting

DBHawk MCP — Claude Code plugin + demo connector

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_<id>.<secret>), 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.


For users — install

Claude Code (from the marketplace)

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

Claude 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.

  1. Download dbhawk-<version>.mcpb from the Releases page.
  2. In Claude Desktop: Settings → Extensions → Advanced settings → Install and pick the file (or just drag the .mcpb onto the Extensions window).
  3. Fill in the form — DBHawk Base URL, API Token (optional; masked, stored in your OS keychain - leave it empty to sign in through the browser instead), Default Datasource (optional) — and save.
  4. With no token, the first DBHawk tool call opens the DBHawk sign-in in your browser: sign in, click Allow, and repeat the request if Claude reported that it was waiting for the sign-in.

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.

Claude Desktop (manual config, advanced)

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).


Configure

The server needs three values (the token owner needs ACCESS_TO_DATA):

SettingRequiredMeaning
Base URL (DBHAWK_BASE_URL)yesBase URL of DBHawk, e.g. https://demo.dbhawk.example.com (no trailing /api)
API Token (DBHAWK_TOKEN)noEmpty: 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)noDatasource 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=
Claude Desktop — environment variables

Desktop doesn't understand plugins or userConfig — pass the three values as env in the claude_desktop_config.json block shown above.


Tools

ToolDBHawk endpoint
list_datasourcesGET /datasources
get_datasourceGET /datasources/{ds}
list_catalogsGET /datasources/{ds}/catalogs (MSSQL / Snowflake; empty for DBs with no catalog level)
list_schemasGET /datasources/{ds}/schemas
list_objectsGET /datasources/{ds}/schemas/{schema}/objects
list_columnsGET /datasources/{ds}/schemas/{schema}/objects/{object}/columns
get_permissionsGET /permissions (the user's MCP tier(s), allowed operations, row cap, confirmations)
run_queryPOST /datasources/{ds}/query with readOnly: true (reads only, even if the tier allows writes; row-capped 200/5000)
explain_planPOST /datasources/{ds}/explain (execution plan built and read on one connection; the statement is never executed; needs explain_plan in the tier)
list_sessionsGET /datasources/{ds}/sessions (active database sessions; needs active_sessions)
kill_sessionPOST /datasources/{ds}/sessions/{id}/kill (ends one listed session; destructive, confirm flow; needs kill_session)
execute_statementPOST /datasources/{ds}/query (data / schema change, only if the MCP tier allows it; confirm flow)
text_to_sqlPOST /datasources/{ds}/ai/ask
optimize_sqlPOST /datasources/{ds}/ai/optimize
format_sqlPOST /format-query
Reads, writes and MCP tiers

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 { confirmationRequired: true, executed: false } and runs the statement only when it is repeated with confirm: true. A read-only datasource refuses writes whatever the tier says.

Demo prompts: "Which datasources do I have?" → "Show tables in schema public of Postgres-Demo" → "What columns does customers have?" → "How many orders last month by status?" (text-to-SQL → run).


For maintainers — publish & rebuild

Publish the marketplace
cd dbhawk-mcp-plugin
git init && git add . && git commit -m "DBHawk MCP plugin"
git remote add origin git@github.com:datasparc/dbhawk-mcp-plugin.git
git push -u origin main

Users then run the two /plugin commands above. To list it in Anthropic's curated claude-plugins-official directory, submit it via the plugin directory submission form (separate review); your own marketplace works immediately without that.

Rebuild the bundle (after editing index.js)
cd dbhawk/mcp-server
npm install        # once, pulls the SDK + esbuild (build-time only)
npm run build      # regenerates dist/dbhawk-mcp.mjs
git add dist/dbhawk-mcp.mjs && git commit -m "rebuild bundle"

dist/dbhawk-mcp.mjs is committed on purpose — it is the artifact users run. node_modules/ is not.

Tests
cd dbhawk/mcp-server
npm test           # builds the bundle, then runs test/*.test.js
npm run test:only  # runs the tests against the current bundle, without rebuilding

The tests start the real bundle over stdio, drive it with the official MCP client and point it at a fake DBHawk HTTP server that records every request (test/helpers.js), so no DBHawk instance is needed. They cover the tool catalogue and annotations, the read/write contract (run_query always sends readOnly: true, execute_statement sends confirm only when asked), the tool → endpoint mapping, the token exchange (header, JWT caching, one re-exchange on 401) and error reporting. CI (.github/workflows/mcp-server.yml) runs them on Node 18/20/22 and also fails when the committed dist/ bundle is stale, when the mcpb/server copy differs from it, or when the versions in the manifests, server.json and index.js disagree.

Build & release the desktop extension (.mcpb)

The mcpb/ folder is the extension source: mcpb/manifest.json (declares the user_config fields shown in Desktop's settings form) plus mcpb/server/dbhawk-mcp.mjs (a copy of the same dist/ bundle). After rebuilding the bundle, refresh the copy, then pack and release:

cp dbhawk/mcp-server/dist/dbhawk-mcp.mjs mcpb/server/dbhawk-mcp.mjs   # keep the copy in sync
npx @anthropic-ai/mcpb validate mcpb/manifest.json                   # optional sanity check
npx @anthropic-ai/mcpb pack mcpb dbhawk-<version>.mcpb                # produces the .mcpb

# SBOM of everything inlined into the bundle (all deps are devDependencies, so don't --omit dev)
(cd dbhawk/mcp-server && npm sbom --sbom-format cyclonedx) > dbhawk-mcp-<version>.cdx.json

gh release create v<version> dbhawk-<version>.mcpb dbhawk-mcp-<version>.cdx.json \
  --title "DBHawk <version>" --notes "DBHawk MCP desktop extension"

The .cdx.json is a CycloneDX SBOM listing the exact package versions esbuild inlined into dist/dbhawk-mcp.mjs, so the bundle can be audited without unpacking it. Like the .mcpb, it is git-ignored and ships only as a Release asset.

Bump version in mcpb/manifest.json for every release (Desktop keys upgrades off it). The .mcpb is git-ignored — it ships as a Release asset, not in the tree. Keep mcpb/manifest.json's version in step with dbhawk/.claude-plugin/plugin.json so the plugin and the extension stay aligned.


Troubleshooting

  • token exchange failed: 401/403 — the personal DBHAWK_TOKEN is wrong, revoked or expired, the user isn't in the MCP access group, or (SSO/SAML users) the sign-in re-validation window lapsed — log in to DBHawk once via your identity provider, the same token then works again. Reissue if needed.
  • DBHawk API 401/403 (after exchange) — wrong scope or the user lacks ACCESS_TO_DATA.
  • … needs MCP operation(s) …, which your MCP tier … does not allow — the statement type is not in the user's MCP tier (the default tier is read-only). An admin assigns a higher tier to one of the user's groups (DBHawk → Admin → MCP Management → MCP Tiers, then the User Group dialog → MCP Tier).
  • … cannot run as a read-only query. Use the execute_statement tool instead. — a write was sent through run_query; the model has to use execute_statement, where the client asks the user first.
  • Datasource '…' is read-only … (403) — the datasource is marked read-only in DBHawk, so writes are refused whatever the MCP tier allows; reads still work.
  • confirmationRequired: true, executed: false — not an error: the tier asks for confirmation of writes. Show the statement to the user and, after they approve it, call execute_statement again with confirm: true.
  • Sign in to DBHawk in the browser window that just opened … — no token is configured and the browser sign-in has not finished yet. Sign in, click Allow, then repeat the request (the URL is in the message if no window appeared). To sign in as someone else, delete the oauth-*.json file in the dbhawk-mcp folder above.
  • This DBHawk server does not support signing in from the extension — the DBHawk server predates the MCP connector: configure a personal token.
  • Missing configuration on startup — DBHAWK_BASE_URL not set.
  • Invalid configuration on startup — DBHAWK_BASE_URL is not an https:// / http:// URL, contains credentials, a query or a trailing /api, or DBHAWK_TOKEN is a JWT instead of the personal dbh_… token.
  • Server not listed in /mcp — confirm Node ≥ 18 and that dist/dbhawk-mcp.mjs exists in the installed plugin. In Claude Desktop, use the full path to node (Desktop has a minimal PATH).

Frequently asked questions

What is com.datasparc/dbhawk?

Secure access to DBHawk datasources: browse schemas, run governed queries, DBHawk AI text-to-SQL.

How do I install com.datasparc/dbhawk?

It runs on your machine. In Claude Code: claude mcp add dbhawk -e 'DBHAWK_BASE_URL=<DBHAWK_BASE_URL>' -e 'DBHAWK_TOKEN=<your dbhawk_token>' -e 'DBHAWK_DEFAULT_DATASOURCE=<DBHAWK_DEFAULT_DATASOURCE>' -- npx -y @dbhawk/mcp@0.4.2. For other clients, paste the JSON configuration from this page into their MCP settings.

Does com.datasparc/dbhawk need an API key?

Yes. It expects DBHAWK_BASE_URL, DBHAWK_TOKEN, which you set in its configuration.

Is com.datasparc/dbhawk open source?

Its code is public on GitHub, but the repository does not declare a standard license.

Who maintains com.datasparc/dbhawk?

It is published by Datasparc. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.