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Secure access to DBHawk datasources: browse schemas, run governed queries, HawkAI text-to-SQL.
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Secure access to DBHawk datasources: browse schemas, run governed queries, HawkAI text-to-SQL.
Security Report
13 tools verified · Open access · No issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Remote servers are capped at 8.0 because source code is not available for review. The score reflects endpoint verification only.
What You'll Need
Set these up before or after installing:
Environment variable: DBHAWK_BASE_URL
Environment variable: DBHAWK_TOKEN
Environment variable: DBHAWK_DEFAULT_DATASOURCE
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"com-datasparc-dbhawk": {
"env": {
"DBHAWK_TOKEN": "your-dbhawk-token-here",
"DBHAWK_BASE_URL": "your-dbhawk-base-url-here",
"DBHAWK_DEFAULT_DATASOURCE": "your-dbhawk-default-datasource-here"
},
"args": [
"-y",
"@dbhawk/mcp"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
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 HawkAI 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.
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. When the JWT expires the next
call gets a 401, and the server 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 (extension, .mcpb) — recommended
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.
- Download
dbhawk-<version>.mcpbfrom the Releases page. - In Claude Desktop: Settings → Extensions → Advanced settings → Install and pick the file
(or just drag the
.mcpbonto the Extensions window). - Fill in the form — DBHawk Base URL, API Token (masked; stored in your OS keychain), Default Datasource (optional) — and save.
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):
| 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) | yes | 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 |
Claude Code — guided setup dialog (recommended)
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
| 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) |
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 |
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
gh release create v<version> dbhawk-<version>.mcpb \
--title "DBHawk <version>" --notes "DBHawk MCP desktop extension"
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 personalDBHAWK_TOKENis 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 lacksACCESS_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 throughrun_query; the model has to useexecute_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, callexecute_statementagain withconfirm: true.Missing configurationon startup —DBHAWK_BASE_URL/DBHAWK_TOKENnot set.- Server not listed in
/mcp— confirm Node ≥ 18 and thatdist/dbhawk-mcp.mjsexists in the installed plugin. In Claude Desktop, use the full path tonode(Desktop has a minimal PATH).
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