# Together Code Interpreter MCP Server

> Use this tool when you need to execute and interpret code in your AI applications, enabling seamless integration of programming capabilities to solve complex problems and automate tasks. It accepts code inputs from various sources, including git repositories, and outputs executed results, making it ideal for use cases that require dynamic code execution. This tool is particularly useful in contexts where AI apps need to interact with external codebases or perform custom computations.

Canonical page: https://skillsregistry.net/skills/togethercomputer-mcp-server-tci  
JSON: https://api.skillsregistry.net/v1/skills/togethercomputer-mcp-server-tci

## Description

Add the ability to execute/interpret code to your AI apps.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-23

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-08-23

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/togethercomputer/mcp-server-tci)

## 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": "togethercomputer-mcp-server-tci"
    }
  }
}
```

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

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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