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Cloudflare MCP Server
What is Cloudflare MCP Server
Cloudflare MCP Server is a set of standardized servers implementing the Model Context Protocol (MCP), designed to facilitate communication between large language models (LLMs) and Cloudflare services. These servers allow clients to manage configurations, process data, make suggestions, and execute changes within Cloudflare’s various offerings, including application development, security, and performance.
Use cases
MCP servers can be used for a variety of tasks such as building and managing Cloudflare Workers, gaining insights from application logs, optimizing DNS performance, monitoring digital experiences, querying audit logs, and accessing global internet traffic data. This versatility makes them suitable for developers, data analysts, and IT professionals seeking to enhance their Cloudflare capabilities.
How to use
To access the Cloudflare MCP servers, users can connect through an MCP client with first-class support for remote servers or configure their client through a configuration file using mcp-remote
. For specific use cases, like using the Browsers Rendering server with OpenAI’s Responses API, users must create an API token with the necessary permissions in the Cloudflare dashboard.
Key features
Key features of the Cloudflare MCP servers include access to comprehensive documentation, tools for managing Workers applications, observability for logging and analytics, and integration capabilities with other cloud services. The servers also support functionalities like sandbox environments, log push summaries, and global internet traffic insights.
Where to use
These MCP servers can be utilized across various Cloudflare services in applications involving application development, security monitoring, performance optimization, and analytics. They are particularly useful in environments requiring collaboration between AI tools and cloud infrastructure, allowing users to leverage natural language for task management within their Cloudflare accounts.
Overview
What is Cloudflare MCP Server
Cloudflare MCP Server is a set of standardized servers implementing the Model Context Protocol (MCP), designed to facilitate communication between large language models (LLMs) and Cloudflare services. These servers allow clients to manage configurations, process data, make suggestions, and execute changes within Cloudflare’s various offerings, including application development, security, and performance.
Use cases
MCP servers can be used for a variety of tasks such as building and managing Cloudflare Workers, gaining insights from application logs, optimizing DNS performance, monitoring digital experiences, querying audit logs, and accessing global internet traffic data. This versatility makes them suitable for developers, data analysts, and IT professionals seeking to enhance their Cloudflare capabilities.
How to use
To access the Cloudflare MCP servers, users can connect through an MCP client with first-class support for remote servers or configure their client through a configuration file using mcp-remote
. For specific use cases, like using the Browsers Rendering server with OpenAI’s Responses API, users must create an API token with the necessary permissions in the Cloudflare dashboard.
Key features
Key features of the Cloudflare MCP servers include access to comprehensive documentation, tools for managing Workers applications, observability for logging and analytics, and integration capabilities with other cloud services. The servers also support functionalities like sandbox environments, log push summaries, and global internet traffic insights.
Where to use
These MCP servers can be utilized across various Cloudflare services in applications involving application development, security monitoring, performance optimization, and analytics. They are particularly useful in environments requiring collaboration between AI tools and cloud infrastructure, allowing users to leverage natural language for task management within their Cloudflare accounts.
Content
Cloudflare MCP Server
Model Context Protocol (MCP) is a new, standardized protocol for managing context between large language models (LLMs) and external systems. In this repository, you can find several MCP servers allowing you to connect to Cloudflare’s service from an MCP client (e.g. Cursor, Claude) and use natural language to accomplish tasks through your Cloudflare account.
These MCP servers allow your MCP Client to read configurations from your account, process information, make suggestions based on data, and even make those suggested changes for you. All of these actions can happen across Cloudflare’s many services including application development, security and performance.
The following servers are included in this repository:
Server Name | Description | Server URL |
---|---|---|
Documentation server | Get up to date reference information on Cloudflare | https://docs.mcp.cloudflare.com/sse |
Workers Bindings server | Build Workers applications with storage, AI, and compute primitives | https://bindings.mcp.cloudflare.com/sse |
Workers Builds server | Get insights and manage your Cloudflare Workers Builds | https://builds.mcp.cloudflare.com/sse |
Observability server | Debug and get insight into your application’s logs and analytics | https://observability.mcp.cloudflare.com/sse |
Radar server | Get global Internet traffic insights, trends, URL scans, and other utilities | https://radar.mcp.cloudflare.com/sse |
Container server | Spin up a sandbox development environment | https://containers.mcp.cloudflare.com/sse |
Browser rendering server | Fetch web pages, convert them to markdown and take screenshots | https://browser.mcp.cloudflare.com/sse |
Logpush server | Get quick summaries for Logpush job health | https://logs.mcp.cloudflare.com/sse |
AI Gateway server | Search your logs, get details about the prompts and responses | https://ai-gateway.mcp.cloudflare.com/sse |
AutoRAG server | List and search documents on your AutoRAGs | https://autorag.mcp.cloudflare.com/sse |
Audit Logs server | Query audit logs and generate reports for review | https://auditlogs.mcp.cloudflare.com/sse |
DNS Analytics server | Optimize DNS performance and debug issues based on current set up | https://dns-analytics.mcp.cloudflare.com/sse |
Digital Experience Monitoring server | Get quick insight on critical applications for your organization | https://dex.mcp.cloudflare.com/sse |
Cloudflare One CASB server | Quickly identify any security misconfigurations for SaaS applications to safeguard users & data | https://casb.mcp.cloudflare.com/sse |
GraphQL server | Get analytics data using Cloudflare’s GraphQL API | https://graphql.mcp.cloudflare.com/sse |
Access the remote MCP server from any MCP client
If your MCP client has first class support for remote MCP servers, the client will provide a way to accept the server URL directly within its interface (e.g. Cloudflare AI Playground)
If your client does not yet support remote MCP servers, you will need to set up its resepective configuration file using mcp-remote (https://www.npmjs.com/package/mcp-remote) to specify which servers your client can access.
{
"mcpServers": {
"cloudflare-observability": {
"command": "npx",
"args": [
"mcp-remote",
"https://observability.mcp.cloudflare.com/sse"
]
},
"cloudflare-bindings": {
"command": "npx",
"args": [
"mcp-remote",
"https://bindings.mcp.cloudflare.com/sse"
]
}
}
}
Using Cloudflare’s MCP servers from the OpenAI Responses API
To use one of Cloudflare’s MCP servers with OpenAI’s responses API, you will need to provide the Responses API with an API token that has the scopes (permissions) required for that particular MCP server.
For example, to use the Browser Rendering MCP server with OpenAI, create an API token in the Cloudflare dashboard here, with the following permissions:
Need access to more Cloudflare tools?
We’re continuing to add more functionality to this remote MCP server repo. If you’d like to leave feedback, file a bug or provide a feature request, please open an issue on this repository
Troubleshooting
"Claude’s response was interrupted … "
If you see this message, Claude likely hit its context-length limit and stopped mid-reply. This happens most often on servers that trigger many chained tool calls such as the observability server.
To reduce the chance of running in to this issue:
- Try to be specific, keep your queries concise.
- If a single request calls multiple tools, try to to break it into several smaller tool calls to keep the responses short.
Paid Features
Some features may require a paid Cloudflare Workers plan. Ensure your Cloudflare account has the necessary subscription level for the features you intend to use.
Contributing
Interested in contributing, and running this server locally? See CONTRIBUTING.md to get started.