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tailor-platform

Tailor MCP Server

MCP Server

Automated MCP server for Tailor Platform low‑code ERP

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Updated Apr 16, 2025

About

The @tailor-platform/tailor-mcp package installs the tailorctl CLI and provides a ready‑to‑use MCP server for configuring Tailor Platform applications, enabling resource management, GraphQL access, and LLM integration.

Capabilities

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

Tailor Platform Logo

The Tailor Mcp server is a specialized MCP (Model Context Protocol) endpoint that bridges headless ERP capabilities with large‑language models. It solves the pain point of managing complex business resources—such as products, customers, and workflows—directly from conversational AI tools. By exposing a rich set of MCP tools that mirror the Tailor Platform’s API surface, developers can let LLMs create, update, or delete resources without writing boilerplate code, thereby accelerating prototyping and reducing the cognitive load on data engineers.

At its core, Tailor Mcp packages the command‑line utility into an MCP server. When invoked, it automatically downloads the correct binary for the host platform (macOS, Linux, or Windows) and presents a collection of tools: , , , , , and GraphQL‑specific helpers such as and . Each tool accepts a JSON payload that maps directly to Tailor’s GraphQL schema, allowing an LLM to issue high‑level intents like “add a new customer with email X” and have the server translate that into the appropriate GraphQL mutation.

Developers can integrate Tailor Mcp into their AI workflows in several ways. For LLM clients such as Claude or Cline, a simple JSON configuration points the client to the command, optionally passing a . This setup gives the assistant full CRUD access to Tailor resources, while keeping authentication secure via a personal access token. For HTTP‑based clients, the server can be started with , exposing a RESTful endpoint that can be called from any language or toolchain.

Real‑world scenarios include auto‑generating inventory lists, onboarding new employees through conversational prompts, or dynamically adjusting pricing models based on user input. Because Tailor Mcp leverages the platform’s low‑code GraphQL layer, changes to business logic or data models propagate instantly to all connected LLMs without redeploying the assistant. This tight coupling between business data and language models is a standout feature that sets Tailor Mcp apart from generic MCP servers.