Integrates with Cloudflare AI Playground, allowing users to access and test MCP tools through Cloudflare's interface
Deploys the MCP server as a Cloudflare Worker, providing a serverless platform for hosting the MCP tools
Click on "Install 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., "@Remote MCP Server (Authless) deploy a calculator MCP server on Cloudflare Workers"
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.
https://remote-mcp-server-authless.feraranas.workers.dev/
This example allows you to deploy a remote MCP server that doesn't require authentication on Cloudflare Workers.
This will deploy your MCP server to a URL like: remote-mcp-server-authless.<your-account>.workers.dev/sse
Alternatively, you can use the command line below to get the remote MCP Server created on your local machine:
npm create cloudflare@latest -- my-mcp-server --template=cloudflare/ai/demos/remote-mcp-authlessRelated MCP server: Remote MCP Server Authless
To add your own tools to the MCP server, define each tool inside the init() method of src/index.ts using this.server.tool(...).
You can connect to your MCP server from the Cloudflare AI Playground, which is a remote MCP client:
Enter your deployed MCP server URL (remote-mcp-server-authless.<your-account>.workers.dev/sse)
You can now use your MCP tools directly from the playground!
You can also connect to your remote MCP server from local MCP clients, by using the mcp-remote proxy.
To connect to your MCP server from Claude Desktop, follow Anthropic's Quickstart and within Claude Desktop go to Settings > Developer > Edit Config.
Update with this configuration:
{
"mcpServers": {
"calculator": {
"command": "npx",
"args": [
"mcp-remote",
"http://localhost:8787/sse" // or remote-mcp-server-authless.your-account.workers.dev/sse
]
}
}
}Restart Claude and you should see the tools become available.
| Name | Required | Description | Default |
|---|---|---|---|
| a | Yes | ||
| b | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
| Name | Required | Description | Default |
|---|---|---|---|
| operation | Yes | ||
| a | Yes | ||
| b | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
addcalculateThe two tools 'add' and 'calculate' are highly ambiguous without descriptions, as 'add' could be a subset of 'calculate' or vice versa, making it impossible to distinguish their purposes. This overlap creates a high risk of misselection, as agents cannot determine when to use one over the other based on the limited information provided.
The tool names 'add' and 'calculate' are both simple verbs, which provides some readability, but they lack a consistent pattern such as verb_noun or clear domain-specific conventions. The naming is mixed in style, with 'add' being a basic operation and 'calculate' being more general, but without descriptions, it's unclear if this reflects intentional design or inconsistency.
With only 2 tools, the server feels thin and under-scoped for most practical purposes, suggesting it may not cover a meaningful domain adequately. This low count is borderline inappropriate unless the server's purpose is extremely narrow, but without descriptions, it's hard to justify such minimalism, leaning toward too few tools for effective agent use.
The server is severely incomplete, as the lack of descriptions makes it impossible to infer a domain or assess coverage. With only vague tool names like 'add' and 'calculate', there are obvious gaps in any potential workflow, and agents will likely fail due to missing operations or unclear scope, rendering the tool surface non-functional for typical tasks.
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
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curl -X GET 'https://glama.ai/api/mcp/v1/servers/feraranas/remote-mcp-server-authless'
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