Tensorbasis MCP

Enables AI agents to perform retail competitor intelligence by comparing prices, matching reviews, and tracking catalog changes. It provides read-only access to observations and optional write actions for source management, supporting tools for data retrieval and job monitoring via Streamable HTTP or local stdio.

Visit Tensorbasis

Endpoint and access

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

Community listingStreamable HTTPOAuth sign-inEndpoint checked 2026-11-01Published by Tensorbasis

You need:Default permissions are read-only integration scopes; write permissions require explicit selection and enabled server writesSupply the token through the OS vault or a securely injected TENSORBASIS_API_TOKENUse an MCP client rather than sending API read envelopes directly to this endpointRegister the actual client redirect, not a guessed wildcard

MCP endpoint (Streamable HTTP)

https://app.tensorbasis.com/api/mcp

Vendor documentation

What you can do with it

Compare competitor prices and review matches
Track catalog changes and product matches
Manage source collections and review batches
Export data via HTTP/CLI operations

Source and maintenance

Community listingRegistry 0.1.0

mcp-registry: io.github.Tensor-Stacks/tensorbasis@0.1.0 Project 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: 1119 ms
95th percentile latency: 1119 ms

Maintenance history

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

Nov 1, 2026, 12:10 PM UTC · probe · passed · 1119 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 tensorbasis-mcp https://app.tensorbasis.com/api/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 tensorbasis-mcp --url https://app.tensorbasis.com/api/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable tensorbasis-mcp in your MCP settings.

Cursor configuration

{
  "mcpServers": {
    "tensorbasis-mcp": {
      "url": "https://app.tensorbasis.com/api/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure).

Cline configuration

{
  "mcpServers": {
    "tensorbasis-mcp": {
      "type": "streamableHttp",
      "url": "https://app.tensorbasis.com/api/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start tensorbasis-mcp and inspect its tools.

VS Code configuration

{
  "servers": {
    "tensorbasis-mcp": {
      "type": "http",
      "url": "https://app.tensorbasis.com/api/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 tensorbasis-mcp https://app.tensorbasis.com/api/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": {
    "tensorbasis-mcp": {
      "url": "https://app.tensorbasis.com/api/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": {
    "tensorbasis-mcp": {
      "serverUrl": "https://app.tensorbasis.com/api/mcp"
    }
  }
}

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