"Connecting Feishu (Lark)" matching MCP servers:

Enables interaction with Feishu (Lark) multidimensional tables (Bitable) through MCP tools, supporting operations like creating/updating/querying records, batch operations, and application management with automatic token refresh.

A Model Context Protocol server that provides LLMs with read and write access to Feishu Base (飞书多维表格) databases, enabling them to inspect schemas and manipulate records through natural language.

Enables interacting with Feishu (Lark) multidimensional tables through MCP tools. Supports listing tables, reading records, searching records and apps, and getting views.

Provides enrollment data query, aggregation, and cross-table comparison from Feishu multi-dimensional tables for AstrBot.

Enables LLMs to interact with Feishu Base (Lark) databases by providing comprehensive tools for managing records, tables, and schemas. It supports full CRUD operations on database entries and structural modifications to table fields through the Model Context Protocol.

Enables reading, creating, updating, and appending Feishu documents, as well as querying and updating Bitable fields and records via the MCP protocol.

Provides access to Lark Bitable through the Model Context Protocol, allowing users to interact with Bitable tables using predefined tools.

A Model Context Protocol (MCP) implementation for connecting to and working with various database systems.

Enables Claude Code / Cursor to safely read and write Feishu (Lark) multi-dimensional tables as business ledgers, automatically coercing LLM-supplied values into the exact field formats the platform requires. It adds per-table write serialization, idempotent batch upserts, dry-run previews, guarded deletes, and fail-fast rejection of non-writable system fields.

极轻量、低 Token 消耗的飞书多维表格 MCP 服务，支持链接解析、记录读写和筛选搜索。

飞书多维表格

Universal database MCP server connecting to MySQL, PostgreSQL, SQLite, DuckDB and etc.

Enables connecting to Amazon Redshift and executing SQL queries with read-only safety checks.

askDB is an MCP server that retrieves relevant database schema (DDL) from a Pinecone index and provides it to LLMs to write SQL, without connecting to the database itself.

Enables querying a synthetic patient dataset with tools to look up patients by ID, age, disease, name, and get statistics, connecting Claude Desktop to local data.

MCP server for connecting to SQL Server in readonly mode. Allows any MCP client to explore the schema and run SELECT queries against a SQL Server database.

Enables LLMs to manage a todo list application through the Model Context Protocol, connecting directly to a browser-based Postgres database to add, list, complete, and remove todo items with categories, priorities, and due dates.

Enables connecting to local or remote MS SQL Server instances and provides tools for testing connections, listing databases and tables, describing schemas, and executing T-SQL queries.

Enables connecting to and querying multiple database types (PostgreSQL, MySQL, SQLite) through a unified interface. Supports managing multiple concurrent database connections with connection pooling and SQL query execution through MCP tools.

Enables AI assistants to securely interact with Salesforce CRM data through SOQL queries, CRUD operations, and metadata exploration. Supports connecting to Salesforce objects like Accounts, Contacts, and Opportunities via OAuth 2.0 authentication.

Enables connecting to and querying MySQL databases directly from Cursor IDE, with support for executing SQL queries, listing databases and tables, inspecting schemas, and managing connections with SSL and connection pooling.

Real TypeScript MCP server for connecting Zynx agents to Supabase through safe, allowlisted tools.

Enables AI agents to read and understand local Mendix project structure and logic by connecting directly to the .mpr file via MCP. Allows querying microflows, entities, attributes, and modules in read-only mode without requiring cloud access.

A modular monolith MCP server connecting multiple providers (Redash, PostgreSQL, GitHub) with unified permission, security, and auditing, enabling secure data access and tool execution.

A Model Context Protocol server that enables AI assistants to interact with SQLite databases by connecting to database files, listing tables, describing schemas, and executing queries.

Implements the Model Context Protocol (MCP) to provide AI models with a standardized interface for connecting to external data sources and tools like file systems, databases, or APIs.

Enables connecting to multiple ClickHouse instances via dynamic registration or YAML configuration, supporting SQL queries and data source management through MCP tools.

Enables AI assistants to interact with Saleor Commerce instances to fetch data about products, customers, and orders through a read-only GraphQL API integration. Supports secure authentication and domain validation for connecting to Saleor cloud instances.

MCP server for natural language to SQL conversion, enabling listing databases, connecting, inspecting schemas, and querying databases using plain English.

Enables connecting Postgres databases to MCP clients with built-in query and inspection tools, custom parametrized SQL tools, scoped API keys, group permissions, and audit logging.