# Tensorus MCP

> Use this tool when you need to integrate AI agents and Large Language Models (LLMs) with tensor databases for efficient data management and processing. The Tensorus MCP enables seamless interaction for creating datasets, ingesting tensors, and applying tensor operations, solving problems related to data ingestion, processing, and analysis. It provides a server and client interface for inputs like tensor data and outputs like processed datasets and operation results.

Canonical page: https://skillsregistry.net/skills/tensorus-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tensorus-mcp

## Description

Model Context Protocol server and client that enables AI agents and LLMs to interact with Tensorus tensor database for operations like creating datasets, ingesting tensors, and applying tensor operations.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dbvzq0w7ae)
- **Repository:** <https://github.com/tensorus/mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "tensorus-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tensorus-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tensorus-mcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt