Analytics
zensei.com
Provides access to the Zensei Index, including its current score, underlying indicators, and written summaries.
ENDPOINT 1
https://www.zensei.com/mcp
MCP server metadata
- Name
- Zensei Index
- Version
- 1.0.0
Known tools 4
zensei_index_aboutWhat the Zensei Index is, how to read the score, how it is built, and what this server serves.
Inferred read-onlyzensei_index_indicatorsThe ten indicators behind today's Zensei Index, each with its current status, the layer it scores into, its weight in that layer, and the same explanation the website shows.
Inferred read-onlyzensei_index_summaryThe latest written summary of the Zensei Index, with the score and regime it was written for.
Inferred read-onlyCONNECT 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.zensei-index]
url = "https://www.zensei.com/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"zensei-index": {
"type": "http",
"url": "https://www.zensei.com/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: zensei-index
Remote MCP URL: https://www.zensei.com/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": {
"zensei-index": {
"url": "https://www.zensei.com/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"zensei-index": {
"type": "http",
"url": "https://www.zensei.com/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "zensei-index",
"transport": "streamable-http",
"url": "https://www.zensei.com/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Loading Trust v2 evidence…
Checking the associated registrable domain. The BuiltWith key remains server-side.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.