"How to build your own knowledge base" matching MCP connectors:

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

Build, validate, deploy — HTTP APIs, cron jobs, webhooks and MCP tools — from your AI client. Air Pipe MCP token as a bearer credential, e.g. 'Authorization: Bearer <token>'. Create one at https://app.airpipe.io/

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.

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.

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.

Create, manage, and query your Google Cloud SQL resources.

It connects with Smart Data models database with more than 1000 open licensed data models and helps you to create applications and systems interoperable with existing standards or real applications

Connect your AI to your Well financial data - invoices, companies, contacts.

Interact with your Google Cloud Datastream resources using natural language commands.

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.

Interact with your Google Bigtable resources using natural language commands.

Provides tools to manage Memorystore for Valkey instances and backups.

Interact with your Google Cloud Firestore resources using natural language commands.

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.

VaultCrux Memory Core — 32 tools: knowledge, decisions, constraints, signals, coverage