Koskamo

Trellus MCP

The Trellus MCP server provides read-only access to call reporting data, allowing AI assistants to discover account settings, search call sessions, retrieve metrics, and view individual session details. It exposes four tools for querying call activity, comparing rep results, and reviewing call data based on the connected user's existing permissions.

Visit Trellus

Endpoint and access

OAuth sign-in: the first time you connect, your client opens the vendor's own authorization prompt in a browser.

Trellus MCP logo, by TrellusVendor evidenceStreamable HTTPOAuth sign-inEndpoint checked 2026-11-01Operated by Trellus
You need:Each person signs in with their own Trellus account.The connection follows that account’s existing data permissions.Your AI app opens Trellus sign-in and requests rpt:read access.In a managed workspace, an administrator may need to allow custom connectors.
MCP endpoint (Streamable HTTP)
https://mcp.trellus.ai/rpt/mcp
Vendor documentation

What you can do with it

  • Get team reporting timezone and account settings
  • Show outbound dial attempts and connected calls by rep
  • Review individual call session details
  • Compare rep results using reporting metrics

Source and maintenance

Vendor evidenceRegistry 1.0.0
mcp-registry: ai.trellus/trellus@1.0.0Project website

Tools

Reported by the attributed source; not independently observed by Koskamo.

No tool definitions available.

30-day availability

Aggregated from read-only remote checks; this is not a tool-execution or security guarantee.

Successful checks
1 of 1 (100%)
Average latency
111 ms
95th percentile latency
111 ms

Maintenance history

Public check and source-refresh events. Editorial and ownership records remain private.

  • · probe · passed · 111 ms · metadata changed · refuses unauthenticated initialize (HTTP 401)

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers the remote server. Use --scope project to write .mcp.json for the repo.
Claude Code configuration
claude mcp add --transport http trellus-mcp https://mcp.trellus.ai/rpt/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).
Codex configuration
codex mcp add trellus-mcp --url https://mcp.trellus.ai/rpt/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable trellus-mcp in your MCP settings.
Cursor configuration
{
  "mcpServers": {
    "trellus-mcp": {
      "url": "https://mcp.trellus.ai/rpt/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure).
Cline configuration
{
  "mcpServers": {
    "trellus-mcp": {
      "type": "streamableHttp",
      "url": "https://mcp.trellus.ai/rpt/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start trellus-mcp and inspect its tools.
VS Code configuration
{
  "servers": {
    "trellus-mcp": {
      "type": "http",
      "url": "https://mcp.trellus.ai/rpt/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.
Gemini CLI configuration
gemini mcp add --transport http trellus-mcp https://mcp.trellus.ai/rpt/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.
Claude Desktop configuration
{
  "mcpServers": {
    "trellus-mcp": {
      "url": "https://mcp.trellus.ai/rpt/mcp"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.
Windsurf configuration
{
  "mcpServers": {
    "trellus-mcp": {
      "serverUrl": "https://mcp.trellus.ai/rpt/mcp"
    }
  }
}

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