"Using the Linear App" 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

Deploy a multi-user web app from your agent: hosting, auth, database, and permissions.

Monetized graph answers via named Cypher queries — Tollbooth DPYC operator

PeeringDB MCP — the peering ecosystem database.

Airtable MCP Pack — wraps the Airtable REST API v0

Search, compare & filter 102,191 European car variants — 180 specs, 19 languages, EV data.

Auto-discover validation rules from data — scan, profile, health-score. No rules to write.

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.

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

Managed MCP gateway for PostgreSQL. Connect Cursor, Claude Desktop, VS Code, and Windsurf to your database with per-table permissions, encrypted credentials, and a full query audit trail. OAuth 2.0 authentication, free tier available.

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.