"Information about PostgreSQL Database" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Your agents' personal cloud database: records and logs every agent you connect can save and read.
Ask your Odoo, PostgreSQL or MySQL data in plain words, from Claude, ChatGPT, Le Chat, VS Code or any MCP app. STYD runs read-only queries and answers with real numbers, the period and the definition it used. OAuth sign-in, sample data to try right away, and every answer names its workspace so data from different companies is never mixed.
Read, create, update and delete records; inspect objects, fields and schema in your Knack database.
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.
ParseHub.dev is a hosted document-to-records service with a remote MCP server. Agents can upload a CSV, PDF, or Word file, summarize and analyze CSV data (filter, sort, group_by, and more), read text from PDF and Word files, extract attendees, agenda items, and action items from meeting notes, ask a question about an uploaded document, and store files as database records to list and read later. Each account sees only its own files and records. **Endpoint:** `https://parsehub.dev/mcp` (Streamable HTTP, stateless) **Auth:** API key in the `X-API-Key` header (keys start with `mcp_`), or `Authorization: Bearer <API key or JWT>`. Every request without credentials returns 401. **Plans:** Free (100 API requests/month, 1 document upload), or 5,000 requests/month on the $9/month or $42/year plan. Every MCP request counts toward the allowance. **Tools:** upload_csv, summarize_csv, analyze_csv, upload_document, read_document, extract_meeting_notes, ask_document, database_status, list_database_documents, get_database_document, store_document, extract_stored_meeting_notes, export_database (administrators only). Not affiliated with ParseHub (parsehub.com), the web-scraping tool. ParseHub.dev does not scrape websites. By Poietes LLC. Docs: https://parsehub.dev/guide#connect-via-mcp
The agent-native cloud: database, functions, AI, storage, computers. 51 tools, one API key.
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 any database — PostgreSQL, MySQL, or SQL Server — in seconds.
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.
Database for your AI agent. Turn its output into data, docs, skills, and apps you can actually use.
PostgreSQL, MySQL, OpenAPI/Swagger, and shared Agent Memory with scoped access.
Comprehensive PostgreSQL documentation and best practices, including ecosystem tools
Deploy a multi-user web app from your agent: hosting, auth, database, and permissions.
Retrieve product specifications and technical details from Icecat's database
Search the Perfume Picks fragrance database: 10,000+ scents with notes, dupes, and wear data.
Search the Pour Picks bourbon & whiskey database: 4,700+ bottles with tasting profiles and prices.
Simulate electric UAV powertrains and search a public motor, propeller and battery database.
Landlord Database Check: the site's own MCP server — checker, enquiry (enquiry = a human...
Read-only MyDankTank catalog, Journal, policy, and machine metadata service for adults 21+.
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.
