# @voxell/forge-mcp

> Use this tool when you need to embed text into vectors or list available models for natural language processing tasks. It provides a hosted text-embedding API, solving problems related to text representation and model management. The tool takes text inputs and outputs vector embeddings, making it ideal for use cases such as semantic search, text classification, and language modeling.

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

## Description

MCP server for Forge's hosted text-embedding API, providing tools to embed text into vectors and list available models.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/t9phm4l8rm)
- **Repository:** <https://github.com/VoxellInc/forge-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": "voxellinc-forge-mcp"
    }
  }
}
```

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