"Using the Browser-use library" 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

PeeringDB MCP — the peering ecosystem database.

Airtable MCP Pack — wraps the Airtable REST API v0

Interact with your Google Bigtable resources using natural language commands.

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

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.

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

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.

Access comprehensive company data including financial records, ownership structures, and contact information. Search for businesses using domains, registration numbers, or LinkedIn profiles to streamline due diligence and lead generation. Retrieve historical financial performance and complex corporate group structures to support informed business analysis.

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

List datasets, schemas, run APL queries, and use prompts for exploration, anomalies, and monitoring.

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

Kotlin compile-time SQL library. Docs, code validation, and SQLite execution tools.