Connect your AI

One URL, no key, no sign-in:

https://papertrade-analytics.pages.dev/mcp

It is a remote, read-only MCP server over Streamable HTTP. Every client below takes that URL. Names are examples: use any label you like. Syntax was checked against each vendor's current documentation.

Claude Code#

claude mcp add --transport http papertrade-analytics https://papertrade-analytics.pages.dev/mcp

Add --scope user to make it available in every project, or --scope project to write it to a shared .mcp.json. Run /mcp inside Claude Code to confirm it is connected.

Claude Desktop and claude.ai#

Open Settings, Connectors, Add custom connector, name it Papertrade Analytics, paste the URL and save. Custom connectors sync across claude.ai, Claude Desktop and mobile. Leave any authentication fields empty.

For a Claude Desktop that predates remote connectors, bridge it over stdio with mcp-remote in claude_desktop_config.json:

{
  "mcpServers": {
    "papertrade-analytics": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://papertrade-analytics.pages.dev/mcp"]
    }
  }
}

Claude API (MCP connector)#

The Messages API can call a remote MCP server directly. The connector is a beta: send the anthropic-beta: mcp-client-2025-11-20 header, declare the server in mcp_servers and enable it with an mcp_toolset entry in tools.

curl https://api.anthropic.com/v1/messages \
  -H "content-type: application/json" \
  -H "x-api-key: $ANTHROPIC_API_KEY" \
  -H "anthropic-version: 2023-06-01" \
  -H "anthropic-beta: mcp-client-2025-11-20" \
  -d '{
    "model": "claude-sonnet-5-5",
    "max_tokens": 1000,
    "messages": [{"role": "user", "content": "What is the Papertrade TVL and open interest skew right now?"}],
    "mcp_servers": [
      {"type": "url", "url": "https://papertrade-analytics.pages.dev/mcp", "name": "papertrade-analytics"}
    ],
    "tools": [
      {"type": "mcp_toolset", "mcp_server_name": "papertrade-analytics"}
    ]
  }'

OpenAI Codex CLI and IDE extension#

Add the server from the command line:

codex mcp add papertrade-analytics --url https://papertrade-analytics.pages.dev/mcp

or edit ~/.codex/config.toml (shared by the CLI and the IDE extension):

[mcp_servers.papertrade-analytics]
url = "https://papertrade-analytics.pages.dev/mcp"

Run codex mcp list to confirm it, or /mcp inside Codex.

OpenAI Responses API#

{
  "model": "gpt-5",
  "tools": [
    {
      "type": "mcp",
      "server_label": "papertrade_analytics",
      "server_url": "https://papertrade-analytics.pages.dev/mcp",
      "require_approval": "never"
    }
  ],
  "input": "Summarize Papertrade's open interest skew and PAPER mint rate."
}

Every tool here is read-only, so require_approval: "never" is safe. Use "allowed_tools" to import a subset.

ChatGPT#

Available where ChatGPT supports custom apps over MCP (Plus, Pro, Business, Enterprise and Edu; an admin may need to allow them first).

Settings, Apps, Advanced settings: turn on Developer mode.
Create app. Name: Papertrade Analytics. MCP server URL: https://papertrade-analytics.pages.dev/mcp. Authentication: No authentication.
In a new chat choose Developer mode from the + menu and enable the app.

Gemini CLI#

gemini mcp add --transport http papertrade-analytics https://papertrade-analytics.pages.dev/mcp

or in ~/.gemini/settings.json (note httpUrl, not url, for Streamable HTTP):

{
  "mcpServers": {
    "papertrade-analytics": {
      "httpUrl": "https://papertrade-analytics.pages.dev/mcp"
    }
  }
}

Cursor#

.cursor/mcp.json in a project, or ~/.cursor/mcp.json for all projects:

{
  "mcpServers": {
    "papertrade-analytics": {
      "url": "https://papertrade-analytics.pages.dev/mcp"
    }
  }
}

VS Code (GitHub Copilot agent mode)#

.vscode/mcp.json:

{
  "servers": {
    "papertrade-analytics": {
      "type": "http",
      "url": "https://papertrade-analytics.pages.dev/mcp"
    }
  }
}

or from a terminal:

code --add-mcp '{"name":"papertrade-analytics","type":"http","url":"https://papertrade-analytics.pages.dev/mcp"}'

Windsurf#

~/.codeium/windsurf/mcp_config.json (Windsurf uses serverUrl):

{
  "mcpServers": {
    "papertrade-analytics": {
      "serverUrl": "https://papertrade-analytics.pages.dev/mcp"
    }
  }
}

Zed#

In settings.json:

{
  "context_servers": {
    "papertrade-analytics": {
      "url": "https://papertrade-analytics.pages.dev/mcp"
    }
  }
}

Cline#

Edit cline_mcp_settings.json (MCP Servers panel, Configure MCP Servers). Set the transport explicitly: without type, Cline assumes the legacy SSE transport.

{
  "mcpServers": {
    "papertrade-analytics": {
      "type": "streamableHttp",
      "url": "https://papertrade-analytics.pages.dev/mcp"
    }
  }
}

Goose#

Run goose configure, choose Add Extension, then Remote Extension (Streamable HTTP), name it papertrade-analytics and paste the URL.

Continue#

.continue/mcpServers/papertrade-analytics.yaml:

name: Papertrade Analytics
version: 0.0.1
schema: v1
mcpServers:
  - name: Papertrade Analytics
    type: streamable-http
    url: https://papertrade-analytics.pages.dev/mcp

Any other agent framework#

If a framework speaks MCP, give it the URL above. If it only does function calling or OpenAPI tools (LangChain, LlamaIndex, custom GPT Actions, n8n and similar), import https://papertrade-analytics.pages.dev/openapi.json: GET /api/metrics returns everything the MCP tools read. Agents that discover tools by URL can start from /.well-known/mcp/server-card.json, /.well-known/agent-card.json or /llms.txt.

Verify a connection#

npx @modelcontextprotocol/inspector --cli https://papertrade-analytics.pages.dev/mcp --transport http --method tools/list

If a client reports no tools, check that it is using the Streamable HTTP transport (not SSE) and that the URL ends in /mcp. See Security and limits for rate limits.