"Using PostgreSQL to Execute Queries" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Odoo MCP connector for ChatGPT and Claude: ask sales, invoices and stock in plain words. Read-only.
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.
Connect LLM tools to your Algolia account with user-scoped access for internal workflows.
Data Oil is a multi-model database built for object storage. It uses a log-structured storage engine, snapshot isolation with optimistic commit, and a change feed from the write-ahead log. Its SQL dialect supports joins, window functions, CTEs, set operations, graph traversal and pattern matching. It has its own HNSW vector index and BM25 full-text index, and a write is searchable by keyword and vector as soon as it commits. Access is over HTTP, the PostgreSQL wire protocol (extended protocol). We have a founder's program available for projects which may be of interest https://dataoil.tech/founders.html if your interested lets chat ;)
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.
Ask your AI assistant to sketch or change a Neo4j graph data model, then open it in toro4n.
PolicyTrak's MCP server lets an assistant read, and with permission update, an organization's location compliance records: locations, compliance fields, tabs and evidence files. Find fields expiring in the next 30 days, summarize missing evidence by location, or mark an inspection complete. Each connection is scoped to one organization; write access is opt-in and admins can require approval for every change.
Query your databases and build dashboards, Streamlit apps and reports your team logs in to.
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
Hosted PostgreSQL MCP server for Claude, ChatGPT and Cursor, with each action switched per account.
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
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
Your Caspio data is MCP-enabled. Bring any dataset and put your AI assistants to work. No coding.
Connect your AI to any database — PostgreSQL, MySQL, or SQL Server — in seconds.
AI-powered life cycle assessment and modelling: connect to LCA databases, build and analyze systems
Persistent knowledge graph for AI-augmented teams. Store decisions, findings, and standing rules across agent sessions with semantic search and typed connections. Includes cross-session memory, audit trail, workspace isolation, and secret detection. Built for teams running agents that need to remember. Free until launch with team tier as default, anon trial available.
Comprehensive PostgreSQL documentation and best practices, including ecosystem tools
Johns Hopkins Turbulence Databases (JHTDB) — point queries on reference direct numerical…
Estimate what your company's operational data is worth to AI labs. Counts only, never content.
Verified robot and AV incidents, first report to court outcome, plus the NHTSA SGO crash file
