"excel" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Every spreadsheet is a table: Excel, CSV, Parquet and JSON as SQL tables for AI agents.
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.
Messy CSV, JSON, Excel, SPSS/Stata/SAS and PDF tables to typed Parquet; inspect, query, join.
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.
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.
Standardize, reshape, and normalize messy data — CSV, Excel, Parquet, S3, databases.
AI data analyst: ask about your Excel, CSV, GA4 or database data and get charts and dashboards back