"Using Cherry Studio Tool on Windows to Connect to MySQL MCP Server" matching MCP servers:

Enables searching and retrieving documentation from crawled documentation sites as an MCP server, allowing coding agents to query real docs instead of relying on training data.

Enables LLMs to query documents using semantic search, supporting PDFs, Word, Excel, and more. Organizes documents by topics from folder structure and provides advanced search features like phrase matching and date filtering.

A Cloudflare Worker that transforms Cloudflare AI Search (AutoRAG) instances into an MCP server for querying documentation. It enables AI models to search and retrieve relevant information from custom document sets stored in R2 buckets.

A secure database query service built on FastMCP framework that allows users to query MySQL databases using natural language, with comprehensive permission management and security controls.

Converts natural language queries into valid GraphQL queries and executes them against GraphQL APIs. Includes schema introspection, query validation, execution with authentication, and query history tracking.

Enables an agent to run ten ready-made research and monitoring workflows — competitor digests, cited reports, paper alerts, market maps, regulatory and due-diligence watches — pulling from Firecrawl, Tavily, GitHub and landing results in Notion, Slack, Google Docs, Sheets and Linear. Fields are filed with the user's own keys held in the operating system keychain, and every action that creates, sends or changes anything is shown and approved first.

MCP server that translates natural-language questions into SQL, validates every query structurally, and executes approved read-only queries against a SQLite database, returning results and rejections.

Enables Claude to translate natural-language business questions into safe, read-only SQL queries by exposing tools for listing tables, inspecting schemas, and executing row-capped SELECT statements against PostgreSQL.

An MCP server that enables AI assistants to access and search Cherry Studio knowledge bases, supporting operations like listing, searching, and retrieving details.

Searches Reddit for answers to questions and saves Q&A sessions to Notion.

Transforms SAP S/4HANA or ECC systems into conversational AI interfaces by exposing all OData services as dynamic MCP tools. Enables natural language interactions with ERP data including querying, creating, updating, and deleting entities through SAP BTP integration.

Enables resolving the likely employer behind Gmail, Outlook, iCloud, Yahoo, and other free-mail signups by checking public Gravatar profiles, signed GitHub commits, and LinkedIn results. It returns the person’s name, employer, employer domain, confidence score, and evidence URLs.

An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.

Enables searching and retrieving documentation for the Rust windows crate API through an MCP server.

Semantic navigator for MCP tools that finds relevant tools by natural language intent, reducing token usage by 95%.

An Obsidian plugin that runs an MCP server, enabling AI agents to read, edit, search notes, and run Dataview queries in your vault.

Enables clients to look up dress-code meanings, generate five-piece outfit formulas for an occasion and weather, explore tested clothing colour combinations, and find relevant style guides through a free read-only MCP endpoint.

Enables cloud AI agents to search and read an organization's Feishu Docs and Wiki through an OAuth-protected, read-only remote MCP connection that uses the signed-in user's own permissions. It exposes four read-only tools for keyword search, original document retrieval, Wiki navigation, and connection status without running a model or mirroring content.

Enables Claude to query a live MySQL database using natural language through read-only tools for listing tables, describing schemas, and running SELECT queries.

Enables management and querying of multiple MySQL databases through natural language, allowing AI assistants to list databases, execute SQL queries, and explore database schemas.