Remote MCP Server on Cloudflare
Удаленный сервер MCP на Cloudflare
Давайте запустим удаленный сервер MCP на Cloudflare Workers с возможностью входа по протоколу OAuth!
Развивайтесь локально
# clone the repository
git clone git@github.com:cloudflare/ai.git
# install dependencies
cd ai
npm install
# run locally
npx nx dev remote-mcp-server-bearer-authВы должны иметь возможность открыть http://localhost:8787/ в своем браузере.
Related MCP server: Remote MCP Server on Cloudflare
Подключите MCP-инспектор к вашему серверу
Для изучения нового API MCP вы можете использовать MCP Inspector .
Запустите его с помощью
npx @modelcontextprotocol/inspectorВ инспекторе измените тип транспорта на
SSEи введитеhttp://localhost:8787/sseв качестве URL-адреса сервера MCP для подключения.Добавьте токен на предъявителя и нажмите «Подключиться».
Нажмите «Список инструментов».
Запустите инструмент «getToken», который должен вернуть заголовок Authorization, который вы установили в инспекторе.
Подключите Claude Desktop к локальному серверу MCP
{
"mcpServers": {
"remote-mcp-server-bearer-auth": {
"command": "npx",
"args": [
"mcp-remote",
"http://localhost:8787/sse",
"--header",
"Authorization: Bearer ${AUTH_TOKEN}"
]
},
"env": {
"AUTH_TOKEN": "..."
}
}
}Развертывание в Cloudflare
npm run deploy
Вызовите недавно развернутый удаленный сервер MCP с удаленного клиента MCP
Так же, как вы делали выше в разделе «Локальная разработка», запустите инспектор MCP:
npx @modelcontextprotocol/inspector@latest
Затем введите URL-адрес workers.dev (например: worker-name.account-name.workers.dev/sse ) вашего Worker в инспекторе в качестве URL-адреса сервера MCP для подключения и нажмите «Подключиться».
Теперь вы подключились к вашему серверу MCP с удаленного клиента MCP. Вы можете передать токен носителя, как указано выше
Отладка
Если что-то пойдет не так, может быть полезно перезапустить Claude или попробовать подключиться напрямую к вашему серверу MCP через командную строку с помощью следующей команды.
npx mcp-remote http://localhost:8787/sseВ некоторых редких случаях может помочь очистка файлов, добавленных в ~/.mcp-auth
rm -rf ~/.mcp-authAvailable Tools
1 toolget_list_tweetsC
Get tweets from a specific list
| Name | Required | Description | Default |
|---|---|---|---|
| list_id | Yes | ID of the list to get tweets from | |
| max_results | No | Maximum number of tweets to return |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It mentions 'Get tweets' but doesn't disclose behavioral traits like read-only vs. destructive, authentication needs, rate limits, or response format. This leaves the agent with insufficient information for safe invocation.
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?
The description is a single, clear sentence with zero waste, making it highly concise and well-structured. It efficiently conveys the core purpose without unnecessary elaboration.
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?
Given no annotations and no output schema, the description is incomplete. It doesn't cover behavioral aspects, usage context, or return values, making it inadequate for a tool with parameters and potential complexity.
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?
Schema description coverage is 100%, so the schema already documents both parameters (list_id and max_results). The description adds no additional meaning beyond what the schema provides, such as format details or usage tips, meeting the baseline for high coverage.
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?
The description 'Get tweets from a specific list' clearly states the action ('Get') and resource ('tweets from a specific list'), making the purpose understandable. However, it lacks specificity such as mentioning retrieval or listing, and with no sibling tools, it doesn't need to differentiate, so it's not a 5.
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?
The description provides no guidance on when to use this tool, such as prerequisites, alternatives, or context. It simply states what it does without indicating usage scenarios, which is a significant gap.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
v1.0.0- Added
get_list_tweets
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool's purpose is clearly defined and distinct by default.
A single tool inherently has consistent naming, as there are no other tools to compare it against. The name 'get_list_tweets' follows a clear verb_noun pattern.
One tool is generally too few for a server's purpose, as it limits functionality and suggests an incomplete or narrow scope. This is borderline inadequate for typical MCP server operations.
Inferring the domain as Twitter list management, the tool surface is severely incomplete. It only allows getting tweets from a list, with no capabilities for creating, updating, deleting lists, or interacting with tweets beyond retrieval, leading to significant gaps.
Maintenance
Related MCP Connectors
Remote streamable-HTTP MCP server running on a single Cloudflare Worker. Your assistant gets live Airbnb, Amazon, Booking.com, Google Flights, Maps and Reddit data, social search on X, Instagram and TikTok, the Meta Ad Library, and image/video generation without any keys. Connect your own accounts to let it send WhatsApp or Telegram messages, work an IMAP inbox, manage Meta Ads campaigns and publish to X and LinkedIn. OAuth 2.1 with PKCE; stored credentials are AES-256-GCM encrypted.
A comprehensive Model Context Protocol (MCP) server that enables AI assistants to interact with yo…
MCP server for AI agents to plan, verify, and deploy Cloudflare-native apps.
MCP server connecting AI agents to 100+ apps (Gmail, Slack, Notion, GitHub) via one-click OAuth.
Related MCP Servers
- FlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that runs on Cloudflare Workers with OAuth login, allowing AI assistants like Claude to execute tools remotely through HTTP connections.-
- FlicenseNot gradedqualityCmaintenanceA Model Context Protocol server implementation that runs on Cloudflare Workers with OAuth login, allowing Claude and other AI models to access tools via the MCP standard.-
- AlicenseBqualityCmaintenanceA server that enables Model Context Protocol (MCP) functionality on Cloudflare Workers with OAuth login, allowing applications like Claude Desktop to access custom tools through a standardized interface.28 npmMIT
- FlicenseNot gradedqualityCmaintenanceA Model Context Protocol server that runs on Cloudflare Workers, enabling tools integration with Claude AI through OAuth login.-