"Excel Spreadsheet Software or Related Resources" 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.
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.
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.
Is a food, country or company in Japan MHLW imported food inspection orders? Rows as published.
Is this drug's shipment normal, limited or suspended in Japan (MHLW)? Hosted, history kept.
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
Add fast, typo-tolerant search to your site or app, and run the Typesense clusters behind it.
Reporting and queries over Astrea (Aurum), Brazilian legal-practice software: cases per client, cale
Interact with your Google Cloud Datastream resources using natural language commands.
Interact with your Google Bigtable resources using natural language commands.
Create, manage, and query your Google Cloud SQL resources.
Interact with your Google Cloud Firestore resources using natural language commands.
AI data analyst by getdot.ai. Ask your data warehouse in plain English; get SQL, answers and charts.
Save and find clothes you own in a digital closet. Add clothing descriptions or photos, search saved wardrobe text, remove selected garments, and get a private link to continue in Shopbots. Hosted by Tolstoy. Uses OAuth with PKCE and dynamic client registration; no paid account required. Shopbots linking requires separate sign-in and confirmation. Removing a garment deletes its closet record; copied photos are currently retained.
Anomaly AI is an AI data analyst for large datasets and spreadsheets. Its remote MCP server lets Claude Code or another MCP client with OAuth ask Anomaly about your Excel, CSV, GA4, database and warehouse data. Anomaly runs the analysis and replies in plain text with dashboard links, file downloads and chart images. MCP OAuth sign-in, no API key. Needs an Anomaly account.
Connect Karma.Domains to ChatGPT, Claude, Cursor, VS Code, or another MCP client — and find a domain in plain language. The same auctions, expired, backorder, and buy-now data you use in the app, plus saved filters, notes and tags, guest share links, and SEO enrich — all from chat.
An MCP server for converting data between 16 formats including JSON, YAML, TOML, CSV, XML, Markdown, HTML, Excel, PDF, and more. Supports single transforms, batch fan-out to multiple targets in one call, and JSON reshaping with dot-notation path mapping. 240 conversion pairs, zero config.
- ChrysaiOAuthcom.chrysai
Chrysai provides a hosted MCP server for AI-driven data operations. After connecting an MCP client to the endpoint, you can use MCP tools such as create_app, list_apps, read_data, write_data, update_data, delete_data, and update_app, plus schema resources, to manage persistent structured data through natural language.
Access comprehensive company data including financial records, ownership structures, and contact information. Search for businesses using domains, registration numbers, or LinkedIn profiles to streamline due diligence and lead generation. Retrieve historical financial performance and complex corporate group structures to support informed business analysis.
