# baltamatica.mcp

> Use this tool when you need to leverage advanced scientific computing capabilities in your AI workflows, executing custom code and managing variables while maintaining a persistent workspace state. It solves problems requiring complex computations, data analysis, and simulation, enabling seamless integration with AI agents. The tool accepts code snippets, variable inputs, and script commands, producing output results and updated workspace states.

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

## Description

Enables AI agents to interact with the Baltamatica scientific computing kernel, executing code, managing variables, and running scripts while preserving workspace state across calls.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fmbl0qegb5)
- **Repository:** <https://github.com/wzlwww/baltamatica.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": "wzlwww-baltamatica-mcp"
    }
  }
}
```

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