"Understanding the concept of perplexity" matching MCP connectors:

The agent-native cloud: database, functions, AI, storage, computers. 50 tools, one API key.

AMZScout Skill + MCP gives AI agents live access to real Amazon marketplace data across 14 Amazon marketplaces. Analyze any ASIN, validate product ideas, research niches, compare competitors, discover profitable keywords, and build data-driven PPC strategies using trusted Amazon insights instead of AI assumptions. Works with Claude, ChatGPT, Cursor, and any other MCP-compatible AI client. To connect, you'll need an AMZScout API plan and authorize your account. Get access and view pricing here: https://learn.amzscout.net/amazon-product-api-for-ai-agents

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

BookBrainz MCP — open book metadata (MetaBrainz / sister of MusicBrainz)

PeeringDB MCP — the peering ecosystem database.

Airtable MCP Pack — wraps the Airtable REST API v0

Registry of companies selling AI agents identity, phone, email, addresses, money, legal, insurance

A unified biomedical graph database that integrates 50+ primary data sources — genes, proteins, compounds, diseases, pathways, and clinical data — into a single queryable graph with billions of cross-reference edges. Its native MCP server gives LLMs direct access to structured, authoritative biomedical data, complementing their reasoning with reliable identifiers and up-to-date database content.

MCP server for the HubSpot Integrations Center HubDB: search and retrieve integration 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.

Read-only MCP server for The Quiet Protocol's engines, benchmarks, proof, and business data.

Chrysai provides a hosted MCP server for AI-driven data operations. After connecting an MCP client to the endpoint, you can use MCP tools such as create_app, list_apps, read_data, write_data, update_data, delete_data, and update_app, plus schema resources, to manage persistent structured data through natural language.

Search and retrieve job postings on Nationale Vacaturebank, the largest Dutch jobs site (read-only).

MCP server for interacting with the Supabase platform

The all-in-one data stack for agents. Upload files, run SQL, evolve tables, and render charts.

Human Lineage MCP server — search and query the public genealogical graph of all humanity

The grounded data layer for any LLM: governed SQL, metrics, lineage and catalog over your data.

Memory infrastructure for teams who will eventually be audited. Database-enforced isolation, atomic audit trail, and secret detection at the handler layer.

Connecting LLMs and AI agents to real-time production data shouldn't mean writing endless boilerplate middleware. BoltSchema automatically converts your PostgreSQL into secure, production-ready, and hosted Model Context Protocol (MCP) servers. Save days of engineering time, handle JSON-RPC schemas automatically, and let your AI securely query the exact data context it needs in under 60 seconds.

Public read-only MCP HTTP gateway for the Solapur software developers registry.