Server data from the Official MCP Registry
MCP server for Forge, Voxell's hosted text-embedding API. Tools: embed and list_models.
MCP server for Forge, Voxell's hosted text-embedding API. Tools: embed and list_models.
Valid MCP server (4 strong, 3 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.
8 files analyzed · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Set these up before or after installing:
Environment variable: FORGE_API_KEY
Add this to your MCP configuration file:
{
"mcpServers": {
"ai-voxell-forge": {
"env": {
"FORGE_API_KEY": "your-forge-api-key-here"
},
"args": [
"-y",
"@voxell/forge-mcp"
],
"command": "npx"
}
}
}From the project's GitHub README.
An MCP server for Forge — Voxell's hosted text-embedding API. It exposes Forge to any MCP client (Claude, Cursor, Cline, Windsurf, VS Code, …) as two tools:
embed — turn text into vectorslist_models — list available models and their dimensionsYou bring a Forge API key. The server is stateless, and Voxell does not store the text you send or the vectors it returns — only usage metadata (token counts) is recorded, for billing. It does embeddings only — no storage, no search, no RAG. Those are different products.
input_type: "document" and each query
with input_type: "query", then rank by cosine similarity.dim to truncate (Matryoshka) and trade a little accuracy
for smaller, cheaper vectors.embed tool — no separate script.Most MCP clients run it on demand with npx. Add this to your client's MCP config:
{
"mcpServers": {
"forge": {
"command": "npx",
"args": ["-y", "@voxell/forge-mcp"],
"env": { "FORGE_API_KEY": "your-key-here" }
}
}
}
(Cursor, Claude Desktop, Cline, Windsurf, and VS Code all use this mcpServers shape.)
embed| arg | type | default | notes |
|---|---|---|---|
input | string or string[] | — | text(s) to embed (required) |
model | string | turbo | turbo (1024-d), pro (2560-d), ultra (4096-d) |
dim | number | model default | truncate to N dimensions (Matryoshka) — works on every model |
input_type | "query" | "document" | document | use query for search queries |
Returns the vectors plus the model, dimension, and token count.
Default is turbo — the one you probably want. pro/ultra trade size and speed for more
dimensions.
list_modelsLists the available models and their dimensions.
| env | required | default |
|---|---|---|
FORGE_API_KEY | yes | — |
FORGE_BASE_URL | no | https://api.voxell.ai |
MIT © Voxell, Inc.
Be the first to review this server!
by Modelcontextprotocol · Developer Tools
Read, search, and manipulate Git repositories programmatically
by Toleno · Developer Tools
Toleno Network MCP Server — Manage your Toleno mining account with Claude AI using natural language.
by mcp-marketplace · Developer Tools
Create, build, and publish Python MCP servers to PyPI — conversationally.