"Firebase: Backend Platform for App Development" matching MCP connectors:
Matching Connector Tools:
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.
Read-only MCP server for HolyDB: find Catholic parish Mass times by location and time.
Monetized graph answers via named Cypher queries — Tollbooth DPYC operator
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.
Zero-key temporary JSON database for agents: one tool call, no signup, no OAuth, no API keys.
Resolve Japanese food names to nutrition facts. All 2,538 foods from Japan's official tables.
EU-native PaaS for AI agents — deploy web apps with one sentence, managed Postgres, GDPR by default.
China's apparel supply chain data for AI: 1,000+ suppliers, 350+ fabrics, 170+ clusters.
Read-only analytics for Convex apps, queryable via MCP from Claude, Cursor, and other clients.
Provides tools to manage Memorystore for Valkey instances and backups.
MCP server for the HubSpot Integrations Center HubDB: search and retrieve integration data.
Read-only MCP server for The Quiet Protocol's engines, benchmarks, proof, and business data.
The BigQuery remote MCP server is a fully managed service that uses the Model Context Protocol to connect AI applications and LLMs to BigQuery data sources. It provides secure, standardized tools for AI agents to list datasets and tables, retrieve schemas, generate and execute SQL queries through natural language, and analyze data—enabling direct access to enterprise analytics data without requiring manual SQL coding.
B2B data enrichment for 375M+ companies: legal entities, corporate hierarchies, and contacts.
Analytical memory for AI agents: a real Postgres queried in plain English over MCP. One command.
PostgreSQL, MySQL, OpenAPI/Swagger, and shared Agent Memory with scoped access.
Guardrailed FHIR access for AI agents: PHI redaction, audit trail, step-up auth, tenant isolation