"Fetching data from a server" matching MCP servers:

A read-only MCP server that helps customers discover products, select flavors, check inventory and food info, and access official purchase links for Sifang Nuo Mi.

Provides comprehensive data analysis utilities including statistical functions, probability distributions, and data processing tools through natural language.

Enables natural-language control of DK-META2 devices through local BLE for vibration, linear extension, and rotation. It also supports scanning, connecting, status checks, and safe stop/disconnect operations without cloud access.

Enables autonomous data exploration on .csv-based datasets, providing intelligent insights with minimal effort.

Enables AI clients to investigate data engineering workflows by exposing tools for job status, logs, schema lookup, read-only SQL, and searching documentation/incidents, along with resources and prompts for ETL failure analysis.

This read-only MCP Server allows you to connect to SAS Data Sets data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out our MCP Server for SAS Data Sets (https://www.cdata.com/drivers/sasdatasets/download/mcp).

This read-only MCP Server allows you to connect to Azure Data Lake Storage data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

This read-only MCP Server allows you to connect to OData data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

Enables AI clients to access Chinese and global trademark data, including search, announcements, classification, review documents, transfer records, and applicant risk clues through the Quandashi platform.

基于 MCP 协议的专业医学信息查询工具，集成 MSD 手册、MeSH 主题词、医学编码、术语和药品查询等多个权威数据源，支持 Claude Desktop、Cursor 等 AI 应用。

Lets an AI agent pull the user's own Douyin creator-backend work data — plays, likes, comments, shares, saves, 5-second completion rate and more — into a locally accumulating CSV plus a daily overview, with tools for status checks, fetching, merging, and retrospective analysis. Access is read-only to the user's own account, needs no third-party dependencies, and keeps all data on the local machine.

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Azure Data Catalog (beta): https://www.cdata.com/download/download.aspx?sku=GNZK-V&type=beta

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Salesforce Data Cloud (beta): https://www.cdata.com/download/download.aspx?sku=LRZK-V&type=beta

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Google Data Catalog (beta): https://www.cdata.com/download/download.aspx?sku=HGZK-V&type=beta

A local, fully vectorized computational engine for stock market analysis that enables AI to perform factor calculation, strategy backtesting, IC analysis, and GPU-based multi-dimensional visualization using local DuckDB data.

This read-only MCP Server allows you to connect to Google Ad Manager data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at https://www.cdata.com/solutions/mcp

Enables LLMs to search, preview, and query data assets from ICRISAT's federation-first data hub, supporting CSV, Excel, and Word files with SQL access via DuckDB.

提供热点获取、图片分析和成品文案生成等MCP工具，帮助AI Agent直接生成小红书、抖音等平台的可复制粘贴文案。

Enables LLMs to query a fintech database through predefined tools, returning structured customer credit, limit, and risk data while enforcing read-only access.

A custom MCP server that gives Claude Desktop direct access to a SQLite database, enabling natural language questions to be answered through real SQL execution.