Schematic MCP
S

Schematic MCP

This is an MCP server that connects AI assistants to the Schematic platform, used to manage the company's billing, packages, feature permissions, and override settings through natural language.
2 points
4.5K

What is the Schematic MCP Server?

The Schematic MCP Server is a bridge that connects AI assistants to the Schematic platform. Schematic is a platform specifically designed to manage the billing, plans, features, and user rights of SaaS products. Through this MCP server, you can allow AI assistants (such as Claude, Cursor, etc.) to directly query company information, manage plan permissions, set feature overrides, and perform other operations, all through natural language conversations.

How to use the Schematic MCP Server?

It's very simple to use: First, obtain the Schematic API key, then configure the MCP server in your AI assistant (Claude Desktop, Cursor, etc.). After the configuration is complete, you can directly ask the AI assistant questions, such as 'What plan is Acme currently on?' or 'Enable advanced analytics for Beta users.' The AI assistant will automatically call the Schematic API to perform the corresponding operations.

Applicable scenarios

Suitable for scenarios where SaaS product teams, customer success teams, technical support teams, etc. need to frequently query and manage customer plans and feature permissions. Particularly suitable for: 1. Technical support staff to quickly view customer plan details 2. Sales teams to set temporary feature permissions for customers 3. Product teams to manage feature releases and plan configurations 4. Customer success teams to monitor trial status

Main features

Company lookup
Find company information by company ID, name, Stripe customer ID, or custom key-value, including plan details, trial status, and related links
Company permission overrides
Set feature overrides for specific companies, supporting boolean (on/off), numeric, and unlimited value types to override the default plan permissions
Plan management
Create and manage billing plans, add feature entitlements to plans, automatically detect feature types and set appropriate value types
Feature management
Create and manage feature flags, supporting boolean, event-based (metered), and trait-based features, and automatically create associated flags
Stripe integration
Connect Schematic companies with Stripe customers, perform two-way lookups of the association relationship, and unify billing and permission management
Trial management
View the trial status of companies, including the trial end time, to help manage trial customers
Advantages
Natural language operation: No need to learn complex APIs, manage permissions through conversations
Seamless integration: Perfectly compatible with mainstream AI assistants such as Claude and Cursor
Real-time synchronization: All operations are synchronized to the Schematic platform in real-time
Flexible overrides: Support permission overrides of various value types to meet the needs of different scenarios
Simplified workflow: Unified operation interface for technical support, sales, and product teams
Limitations
Dependent on the Schematic platform: Requires an existing Schematic account and API key
Network requirements: Requires a stable network connection to access the Schematic API
Permission restrictions: Limited by the API permission settings of the Schematic account
Learning curve: Need to understand basic Schematic concepts (companies, plans, features, etc.)

How to use

Get the API key
Register a Schematic account and log in to the console. Obtain your API key in the settings.
Install the MCP server
Install the Schematic MCP server package via npm
Configure Claude Desktop
Add the MCP server configuration to the Claude Desktop configuration file (macOS path)
Add server configuration
Add the Schematic MCP server configuration to the configuration file and set the API key
Restart and start using
Restart Claude Desktop or Cursor, and then you can manage Schematic through natural language

Usage examples

Technical support queries customer plans
Technical support staff receive a customer's inquiry about feature permissions and need to quickly view the customer's current plan and permission settings
Sales team sets temporary permissions
The sales team needs to enable advanced features for potential customers for demonstration purposes and set temporary permission overrides
Product team manages feature releases
The product team releases a new feature and needs to create a feature flag and add it to the corresponding plan
Customer success monitors trials
The customer success team needs to view customers whose trials are about to end to remind them of renewal
Finance team verifies Stripe associations
The finance team needs to verify the association between Schematic companies and Stripe customers

Frequently Asked Questions

Do I need to have a Schematic account to use this MCP server?
Which AI assistants are supported?
Is the API key secure? How to protect it?
Can I manage multiple Schematic accounts simultaneously?
Are the operations real-time?
What if the AI assistant misunderstands?
Which types of permission overrides are supported?
How to undo or modify an operation?

Related resources

Schematic official website
The official website of the Schematic platform to learn about the platform's functions
Schematic console
Log in to the Schematic console to manage your account and API key
MCP protocol documentation
The official documentation of the Model Context Protocol
GitHub repository
The source code of the Schematic MCP server
npm package page
The npm package of the Schematic MCP server
Schematic API documentation
The complete documentation of the Schematic API
Claude Desktop configuration guide
The guide for using and configuring Claude Desktop
Cursor configuration guide
The guide for configuring the MCP server in Cursor

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "schematic": {
      "command": "npx",
      "args": ["-y", "@schematichq/schematic-mcp"],
      "env": {
        "SCHEMATIC_API_KEY": "your-api-key-here"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
4.9K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
5.5K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
3.9K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
6.3K
4 points
P
Paperbanana
Python
7.5K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
6.1K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
7.6K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
7.4K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
24.7K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
34.6K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
72.6K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
20.5K
4.5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
63.8K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
31.5K
5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
21.1K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
49.5K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase