Aifordatabase MCP vs Tabularis
A side-by-side look at the Aifordatabase MCP and Tabularis MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Aifordatabase MCP for databases work as a local process; choose Tabularis for databases. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Aifordatabase MCP when
- You need dedicated capabilities in the Databases domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
AFD_API_KEY. - You want tools like
list_connections, get_schema, run_query.
Choose Tabularis when
- You need dedicated capabilities in the Databases domain.
- Its auth model fits you: No auth required.
- You want tools like
list_connections, list_databases, list_tables.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Databases | Databases |
| Quality signal | 40/100 · Fair | 59/100 · Good |
| Install command | Confirmed | Not confirmed yet |
| Transport | Local subprocess (stdio) | — |
| Auth | Not declared | No auth required |
| Pricing | Not declared | Free |
| Required env vars | AFD_API_KEY | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 5,268 |
| Directory activity | 1 views 0 installs 0 upvotes | 1 views 0 installs 0 upvotes |
| Tools | 9 | 5 |
| Full listing | View Aifordatabase MCP | View Tabularis |
Tools & capabilities
Aifordatabase MCP tools 9
list_connectionsList the database connections available to this API key. Returns id, name, type (POSTGRES/MYSQL/MARIADB/MSSQL/MONGODB/SQLITE), host, database, isActive. Use the returned id as connectionId in other tools.get_schemaGet the cached schema (tables, columns, relationships) of a database connection. Call this once before writing SQL — no discovery queries needed.run_queryRun a SQL query directly against a database connection. Deterministic, no AI in the loop, no credits consumed. Returns columns, rows, rowCount, executionTime. On a SQL error the database's own message is returned — fix the SQL and retry. Rows cap at 500, so aggregate in SQL rather than pulling raw tables.askAsk a question about a database in plain English. The API's own agent translates it to SQL, runs it, and returns the answer (content), the SQL used (sqlQuery), and the results (queryResult). For follow-up questions, pass the conversationId from the previous response. Consumes AI credits — for repeated/known queries prefer run_query.list_workflowsList workflows (scheduled database alerts / reports). Returns each workflow with its trigger type and step/action counts.create_workflowCreate a workflow: SQL steps + EMAIL/WEBHOOK actions, run manually or on a cron schedule. To make an alert, write a step query that only returns rows when the condition fires and set stopIfEmpty=true — actions then run only when rows come back. Step results are auto-appended to the email/webhook payload. Point a WEBHOOK at a Slack incoming-webhook URL for Slack alerts. Free plan allows 3 workflows.run_workflowRun a workflow immediately (regardless of its schedule) and return the run record with its status.list_dashboardsList dashboards. Dashboards re-run their widget queries on schedule server-side. To create one, the fastest path is the ask tool: 'create a dashboard showing revenue by month' with a connectionId.get_usageGet the current AI-credit budget: included, topUp, used, and remaining (in cents) for the current billing period. Check this to self-throttle ask calls before hitting a 402.
Tabularis tools 5
list_connectionsList all saved database connectionslist_databasesList all databases available for a connectionlist_tablesList tables in a connection (with optional schema filter)describe_tableGet full schema: columns, indexes, foreign keysrun_queryExecute any SQL query and return results
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Aifordatabase MCP
{
"mcpServers": {
"aifordatabase-mcp": {
"command": "npx",
"args": [
"-y",
"aifordatabase-mcp"
],
"env": {
"AFD_API_KEY": "YOUR_AFD_API_KEY_HERE"
}
}
}
}
Tabularis
No confirmed install command for Tabularis yet — follow the setup steps linked from its listing page rather than a guessed package name.
Frequently asked questions
Aifordatabase MCP is categorized under Databases and uses a local stdio subprocess. Tabularis belongs to Databases and uses an install path we have not confirmed yet. Pick Aifordatabase MCP for databases work and Tabularis for databases.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client. Tabularis has no confirmed install command yet — follow its own setup instructions.
Aifordatabase MCP has no declared pricing — check the project's own site. Tabularis is listed as free. Auth: no auth required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add aifordatabase-mcp and tabularis as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Aifordatabase MCP has a quality signal of 40/100 (Fair) with 1 views, 0 installs and 0 GitHub stars. Tabularis has 59/100 (Good) with 1 views, 0 installs and 5,268 GitHub stars.