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Productivity

odyzhou.com

Schedule and communicate with Ody Zhou via messages and meeting bookings.

1 endpoint2 known toolsFirst detected May 12, 2026Last detected September 10, 2026

ENDPOINT 1

https://www.odyzhou.com/api/mcp

No auth detected

MCP server metadata

Name
ody-zhou
Version
1.0.0
Capabilities
tools.listChanged

Known tools 2

contact_ody

Send a message to Ody Zhou.

Potential side effects
book_meeting

Book a meeting with Ody Zhou.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.ody-zhou]
url = "https://www.odyzhou.com/api/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "ody-zhou": {
      "type": "http",
      "url": "https://www.odyzhou.com/api/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: ody-zhou
Remote MCP URL: https://www.odyzhou.com/api/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "ody-zhou": {
      "url": "https://www.odyzhou.com/api/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "ody-zhou": {
      "type": "http",
      "url": "https://www.odyzhou.com/api/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "ody-zhou",
  "transport": "streamable-http",
  "url": "https://www.odyzhou.com/api/mcp"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Trust Data Available

BuiltWith Trust API v2 evidence for odyzhou.com was fetched 2026-08-24T01:22:06.713Z and is being refreshed.

Trust status Neutral

odyzhou.com is assessed as Neutral: No suspicious signals found, but no strong positive signal either

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.