"Running queries in Apache Superset" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Chartbrew connects databases and APIs to dashboards and reports. Its official MCP server lets AI assistants find dashboards and datasets, read chart results, explore supported data sources, and create datasets and chart previews. Connect directly to the hosted server with OAuth or a Chartbrew API key. Access follows your Chartbrew team, role, and approved permissions. Review chart previews in Chartbrew before adding them to a dashboard. No local installation is required.
Ask your PostgreSQL, MySQL or Odoo data in plain words from Claude, ChatGPT or any MCP app. Read-only: STYD runs safe queries and answers with the real number, the period and the definition it used. No SQL needed. OAuth sign-in, sample data to try right away, and every answer names its workspace so data from different companies is never mixed.
Odoo MCP connector for ChatGPT and Claude: ask sales, invoices and stock in plain words. Read-only.
Draw, shape, and edit Neo4j graph data models in toro4n with your AI assistant.
Every spreadsheet is a table: upload Excel, CSV, Parquet or JSON files and query them in SQL (Apache DataFusion), with joins across formats, schema and column statistics. Hosted tableski server; connect with your tableski.io access token. Open source: github.com/yarenty/tableski
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.
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
Build and publish web, Android and iPhone apps from your AI client, in Arabic, English and 60+ more.
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).
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.
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.
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.
Is this US provider in this health plan? Network checks by NPI and plan ID, with dated sources.
English manga release dates, volumes, ISBNs and new licenses. Read only, no sign in.
A read-only MCP server for stored travel prices in Southeast Asia. Query lodging and restaurant prices, compare covered cities and months, and check dataset coverage and freshness. Cost estimates state their assumptions and exclusions.
Find novel, statistically validated patterns in tabular data — hypothesis-free.
Is a food, country or company in Japan MHLW imported food inspection orders? Rows as published.
Whisky & bourbon collection in AI: search the catalog, read and manage your shelf (OAuth).
Hosted backend for AI agents: create projects with persistent collections and keys, no signup.
Is this drug's shipment normal, limited or suspended in Japan (MHLW)? Hosted, history kept.
Deploy production REST and Neo4j Graph APIs from JSON schemas in seconds.
Sourced, dated records of family offices in Switzerland, Liechtenstein, Austria, Germany and Dubai.
Businesses in every country, each with dated facts and no ratings. Read-only.
Executes SQL in a real ephemeral database: rows, typed errors with suggestions, plans, diffs.
Your Supabase account in natural language: run SQL, apply migrations, manage tables, storage, edge f
Your Databricks Lakehouse in natural language: run SQL on your SQL warehouses, track long-running qu
Reporting and queries over Astrea (Aurum), Brazilian legal-practice software: cases per client, cale
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.
