"Reading terminal outputs from a Next.js dev server while developing in Cursor" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Exact, shared memory for multiple AI agents. Azquo is a hierarchical database: each fact is stored once in hierarchies that always total correctly, every write is attributed to the agent and person behind it, and any figure can be traced back to the file and cell it came from. There is no schema to design first - agents build and reorganise the structure themselves - and people work with the same data live in Microsoft Excel. Suited to finance and insurance work, where figures must stand up to review.
中国校园招聘（秋招/春招/实习/提前批）在招岗位、企业档案、投递截止与求职攻略数据。免 API Key、免注册、只读。
Query your databases and build dashboards, Streamlit apps and reports your team logs in to.
Runs an eight-stage isolation test against your staging Supabase and issues a signed attestation. Needs a RowAttest API key: Authorization: Bearer rak_... (create one on the API keys page in the app).
Read your Iceberg tables hosted in Europe: find tables, run read-only SQL, view photos.
Query Postgres, MySQL, SQL Server, Oracle, BigQuery, ClickHouse and Redshift from your AI client.
A calorie MCP that looks up calories and macros from a 4M+ food catalog, not model guesses.
Backend brasileiro (Postgres, login, storage): a IA cria tabelas, liga RLS e roda SQL no projeto.
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 and run a JSONPad backend: lists, items, indexes, write rules, schema sync, history, flows.
Connect your AI to any database — PostgreSQL, MySQL, or SQL Server — in seconds.
Ultra-fast (<2ms) persistent memory workspace with strict tenant isolation, cryptographic provenance, and cross-session synchronization for AI agents in Claude, Cursor, and custom agent fleets.
Query your Postgres from ChatGPT or Claude without exposing the database or handing over credentials. Run npx boltschema connect next to your database and it dials out over HTTPS — no inbound firewall rule, no open port, works with localhost and VPC-private databases. Read-only is enforced by a SQL guard, a Postgres READ ONLY transaction, and a scoped role generated for you.
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/
Read and edit DB Planner database schemas (DBML/SQL), Mermaid diagrams and board layouts from any MCP client. 40 tools with annotations and output schemas. OAuth sign-in, with read and write as separate scopes enforced server-side.
Build multi-tenant apps over MCP. Schemas, CRUD, deploys — access control enforced server-side.
DBRE-grade SQL analysis inside any MCP client. No connection. No install. Paste a query.
UN FAOSTAT global food & agriculture statistics over a local SQLite mirror, via MCP.
Deploy a multi-user web app from your agent: hosting, auth, database, and permissions.
A supplier directory that does not rot: contacts, terms, lead times, review dates.
