"Connecting Cursor to Oracle Database for Data Learning" matching MCP connectors:
Matching Connector Tools:
Entity resolution — data mapping, SDK code generation, docs search, and error troubleshooting
The agent-native cloud: database, functions, AI, storage, auth and more. 50 tools, one API key.
Ask Lever the messy recruiting-ops questions dashboards miss by connecting opportunities, applications, stages, notes, feedback, interviews, referrals, postings, requisitions, offers, users, sources, tags, files, resumes, and archive reasons. Find referral SLA misses, stale opportunities by owner, feedback debt by interviewer and hiring team, funnel leakage by recruiter/source/team, requisition fill-risk, offer hygiene gaps, archive-reason drift, and bottleneck owners. No dashboard build. No SQL
Deploy a multi-user web app from your agent: hosting, auth, database, and permissions.
x402 pay-per-call infra for agents: $0.03 image generation, Postgres, auth, storage, functions.
Search, compare & filter 102,191 European car variants — 180 specs, 19 languages, EV data.
Find novel, statistically validated patterns in tabular data — hypothesis-free.
Read, create, update and delete records; inspect objects, fields and schema in your Knack database.
Auto-discover validation rules from data — scan, profile, health-score. No rules to write.
Generate realistic, FK-consistent synthetic test data for your databases from your AI assistant.
Executes SQL in a real ephemeral database: rows, typed errors with suggestions, plans, diffs.
Query, join, profile, clean and convert CSV/JSON/Parquet with server-side DuckDB over MCP.
Zero-key temporary JSON database for agents: one tool call, no signup, no OAuth, no API keys.
Vérification B2B française : SIRET, SIRENE, dirigeants RNE, santé d'entreprise. Hébergé en France.
Resolve Japanese food names to nutrition facts. All 2,538 foods from Japan's official tables.
Deterministic safety, correctness & cost gate that vets Postgres SQL before your AI agent runs it.
AI access to Quadratic spreadsheets: open files, run Python/SQL, query connected databases.