"The number 555" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
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.
Check an Australian vehicle for open safety recalls by VIN. The index mirrors the federal vehicle recall register: 5,587 notices and 8.8 million VINs, refreshed hourly. Look up one VIN, check a batch, search by make and model, or read the full notice. Free, read-only, no authentication.
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 ;)
Single-digit millisecond search across vectors and text. At any scale, for fraction of the cost. https://warpsearch.io/
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
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).
The agent-native cloud: database, functions, AI, storage, computers. 51 tools, one API key.
Airtable MCP Pack — wraps the Airtable REST API v0
Access control for text-to-SQL agents. Before the model sees the schema, schemagate keeps only the tables and columns the caller may read, picks the few a question needs, and refuses hidden ones at query time. This public endpoint serves a sample schema (no real data). Self-hosted it works with Postgres, Oracle, MySQL, SQL Server and SQLite.
Search the Perfume Picks fragrance database: 10,000+ scents with notes, dupes, and wear data.
Live prices and quotes for fresh, filtered phone leads in any country, plus a free 200-number sample
Whisky & bourbon collection in AI: search the catalog, read and manage your shelf (OAuth).
Push CSV, TSV, JSON, JSONL or Parquet from your agent and get a link a human can explore: filters, column charts, SQL, pinned findings and what changed since the last push. Viewing is free, no signup; anonymous datasets live 7 days. Tools: push, pin_finding, get_dataset, list_datasets, delete_dataset, get_limits. Docs: https://rows.page/docs/mcp
Search the Pour Picks bourbon & whiskey database: 4,700+ bottles with tasting profiles and prices.
Read-only access to the Artbook Society published catalog: books, artists, editors and events.
ReceivableLedger: the site's own MCP server — dataset; every answer cites the site.
Answering Service Quotes: the site's own MCP server — dataset, enquiry (enquiry = a human...
Landlord Database Check: the site's own MCP server — checker, enquiry (enquiry = a human...
RemitDeck: the site's own MCP server — dataset; every answer cites the site.
Insurance by Profession: the site's own MCP server — dataset, enquiry (enquiry = a human...
Bank Code Lookup: the site's own MCP server — dataset, enquiry (enquiry = a human handoff, not a...
Roofing Quotes UK: the site's own MCP server — dataset, enquiry, entities (enquiry = a human...
Procedure Cost Checker: the site's own MCP server — dataset, enquiry (enquiry = a human handoff,...
Asbestos Survey Cost: the site's own MCP server — dataset, enquiry, entities (enquiry = a human...
Bags That Pay: the site's own MCP server — dataset, enquiry, entities, listing (enquiry = a...
Every figure re-checked against SQL-computed facts; unsupported questions refused with the reason.
Tribunal TSE: Certificate de Quitação Eleitoral, official-source lookup. Platform-hosted, pay per qu
Resolve part problems, check compatibility and identify only the information still missing.
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.
