VTEX Headless CMS MCP Server
Provides integration with the VTEX Headless CMS API, allowing management and interaction with content in VTEX's content management system through the OpenAPI specification at https://api.apis.guru/v2/specs/vtex.local/Headless-CMS-API/0.31.2/openapi.json.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@VTEX Headless CMS MCP Serverlist all content types in the CMS"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP Server
This project is an MCP (Model Context Protocol) Server for the given OpenAPI URL - https://api.apis.guru/v2/specs/vtex.local/Headless-CMS-API/0.31.2/openapi.json, auto-generated using AG2's MCP builder.
Prerequisites
Python 3.9+
pip and uv
Related MCP server: Subscriptions API MCP Server
Installation
Clone the repository:
git clone <repository-url> cd mcp-serverInstall dependencies: The .devcontainer/setup.sh script handles installing dependencies using
pip install -e ".[dev]". If you are not using the dev container, you can run this command manually.pip install -e ".[dev]"Alternatively, you can use
uv:uv pip install --editable ".[dev]"
Development
This project uses ruff for linting and formatting, mypy for static type checking, and pytest for testing.
Linting and Formatting
To check for linting issues:
ruff checkTo format the code:
ruff formatThese commands are also available via the scripts/lint.sh script.
Static Analysis
To run static analysis (mypy, bandit, semgrep):
./scripts/static-analysis.shThis script is also configured as a pre-commit hook in .pre-commit-config.yaml.
Running Tests
To run tests with coverage:
./scripts/test.shThis will run pytest and generate a coverage report. For a combined report and cleanup, you can use:
./scripts/test-cov.shPre-commit Hooks
This project uses pre-commit hooks defined in .pre-commit-config.yaml. To install the hooks:
pre-commit installThe hooks will run automatically before each commit.
Running the Server
The MCP server can be started using the mcp_server/main.py script. It supports different transport modes (e.g., stdio, sse, streamable-http).
To start the server (e.g., in stdio mode):
python mcp_server/main.py stdioThe server can be configured using environment variables:
CONFIG_PATH: Path to a JSON configuration file (e.g., mcp_server/mcp_config.json).CONFIG: A JSON string containing the configuration.SECURITY: Environment variables for security parameters (e.g., API keys).
Refer to the if __name__ == "__main__": block in mcp_server/main.py for details on how these are loaded.
The tests/test_mcp_server.py file demonstrates how to start and interact with the server programmatically for testing.
Building and Publishing
This project uses Hatch for building and publishing. To build the project:
hatch buildTo publish the project:
hatch publishThese commands are also available via the scripts/publish.sh script.
This server cannot be deployed
Maintenance
Related MCP Connectors
An MCP server that provides access to Agility CMS. See https://mcp.agilitycms.com for more details.
An MCP server that provides an API to LLMs to manage their JumpCloud resources.
The Mercado Pago MCP Server implements the Model Context Protocol to provide AI agents and LLMs with access to Mercado Pago's APIs and tools within compatible development environments. It acts as an intermediary that translates Mercado Pago resources into executable functions (tools) that AI applications can invoke to perform actions and automate flows. The server simplifies integration, enables using documentation to implement or improve code, and optimizes operations through natural language interactions without manual implementations.
MCP server unifying ERPs, CRMs, APIs and knowledge base for Claude, ChatGPT and Gemini.
Related MCP Servers
- FlicenseNot gradedqualityDmaintenanceAn MCP server that enables natural language interaction with Google's Discovery Engine API, allowing users to search, recommend, and manage data through conversational interfaces.-
- FlicenseNot gradedqualityDmaintenanceAn MCP server for the VTEX Subscriptions API (v3) that enables managing subscription services through natural language interactions, auto-generated using AG2's MCP builder.-
- FlicenseCqualityNot gradedmaintenanceAn MCP server that enables AI assistants like Cursor and Claude to interact with the Storyblok Management API. It allows users to manage stories, tags, components, assets, and workflows through natural language commands.7432-

Cosmic MCP Serverofficial
AlicenseAqualityBmaintenanceAn MCP server that enables AI assistants to manage content, media, and schemas within Cosmic CMS buckets. It allows users to perform CRUD operations on objects and types while providing tools for AI-driven text, image, and video generation.17451MIT