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NocoDB MCP Server

MCP Server

Seamless NocoDB CRUD via natural language

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About

The NocoDB MCP Server enables users to perform CRUD operations on NocoDB tables using the Model Context Protocol, allowing natural language commands for easy database interaction.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

bulk_sample1

The NocoDB MCP Server bridges the gap between conversational AI assistants and structured data stored in NocoDB. By exposing a Model Context Protocol interface, it lets Claude (or any MCP‑compliant client) issue natural language commands that are translated into CRUD operations on NocoDB tables. This eliminates the need for developers to write custom API wrappers or manual SQL queries, enabling rapid iteration and data manipulation directly from a chat interface.

At its core, the server interprets intent‑driven prompts such as “get data from nocodb, table: Shinobi” or “add new row with name: sasuke-2.” Each instruction is mapped to a specific NocoDB API call—reading rows, inserting records, updating fields, or deleting entries. The server also supports schema changes: adding or removing columns, uploading JSON files to create tables, and bulk operations that process thousands of records in a single request. This breadth of functionality makes it an all‑in‑one data access layer for AI workflows, from quick lookups to full data pipeline orchestration.

Key capabilities include:

  • Natural language CRUD: Translate plain text into precise database actions.
  • Schema manipulation: Create, modify, or delete columns and tables on the fly.
  • Bulk processing: Efficiently handle large volumes of records with single commands.
  • File ingestion: Import JSON files to populate tables automatically.
  • Secure integration: Configuration via environment variables keeps API tokens out of source code.

Real‑world scenarios benefit from this server in several ways. A product manager can ask the assistant to pull the latest sales figures, add a new customer record, or update pricing without touching spreadsheets. Data scientists can quickly prototype data pipelines by issuing bulk updates directly from a notebook conversation. Developers integrating AI into internal tools can expose database functionality to end‑users through conversational UI, reducing friction and accelerating delivery.

When integrated into an AI workflow—such as Claude Desktop or a custom CLI—the NocoDB MCP Server acts as a first‑class data provider. The assistant can fetch, modify, and validate data in real time, all while maintaining the declarative nature of natural language. Its TypeScript foundation ensures type safety and modern tooling support, giving developers confidence in stability and maintainability. Overall, the NocoDB MCP Server turns a static database into an interactive conversational partner, streamlining data access and empowering developers to build smarter, faster applications.