広告掲載
MCP.so
ログイン

Forge MCP Server

@VoxellInc

リポジトリ

基本情報

カテゴリ

メモリとナレッジ

トランスポート

stdio

作者

VoxellInc

投稿者

Jonathan Corners

Forge MCP Server について

Forge is Voxell's hosted text-embedding API. This MCP server exposes two tools — embed (turn text into vectors) and list_models — so any MCP-compatible agent can generate embeddings for semantic search, RAG, clustering, and dedup.

#embeddings#text-embedding#vector#semantic-search#rag#retrieval#vector-search#voxell#forge#qwen3#matryoshka#embedding-api#nlp#similarity

Forge MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "forge": {
      "command": "npx",
      "args": [
        "-y",
        "@voxell/forge-mcp"
      ],
      "env": {
        "FORGE_API_KEY": "your-forge-api-key"
      }
    }
  }
}

Forge MCP Server のツール

2

Generate vector embeddings for one or more texts with Forge (Voxell's hosted embedding API). Use it to turn text into vectors for semantic search, RAG, clustering, or similarity. Set input_type='query' for search queries and 'document' for content you index. Choose model by quality/cost: turbo (1024d, fast, default) -> pro (2560d) -> ultra (4096d, #4 on MTEB English, top usable). Optionally set dim to truncate (Matryoshka, re-normalized).

List the available Forge embedding models and their dimensions. Call this to pick a model before embedding.

概要

What is Forge?

Forge is an MCP (Model Context Protocol) server for Voxell's hosted text-embedding API. It exposes two tools (embed and list_models) to any MCP client, including Claude, Cursor, Cline, Windsurf, and VS Code. The server is stateless; Voxell does not store the text sent or the vectors returned — only usage metadata (token counts) for billing.

How to use Forge?

Install via one-click links for Cursor or VS Code, or with a CLI command for Claude Code. Configure your MCP client with a mcpServers block that runs npx -y @voxell/forge-mcp and sets the FORGE_API_KEY environment variable. Requires Node.js ≥ 18 and a Forge API key from https://dash.voxell.ai.

Key features of Forge

  • Provides embed (text to vectors) and list_models tools.
  • Supports Matryoshka (MRL) dimension truncation for smaller vectors.
  • Runs the Qwen3-Embedding model family (turbo, pro, ultra).
  • Low latency (Go + CUDA engine), zero-trust, per-key auth.
  • No storage of text or vectors – only usage metadata recorded.
  • Also offers an OpenAI-compatible API for seamless migration.

Use cases of Forge

  • Add semantic search by embedding documents and queries separately.
  • Build RAG pipelines by embedding a knowledge base and retrieving relevant chunks.
  • Find similar or duplicate text by comparing vector embeddings.
  • Cluster or classify text by embedding batches then applying ML algorithms.
  • Shrink vector storage by truncating dimensions via Matryoshka.

よくある質問

1

What does Forge do vs other MCP servers?

Forge is strictly an embedding server – it does not provide storage, search, or RAG. Those are separate products.

2

What are the runtime requirements?

Node.js version 18 or higher (tested on 20) and a valid Forge API key. New accounts start with 10M free tokens, no credit card required.

3

Where does my data go?

The server is stateless. Voxell does not store the text you send or the vectors it returns. Only usage metadata (token counts) is recorded for billing.

4

What authentication does Forge use?

Authentication is via an API key set in the `FORGE_API_KEY` environment variable. mTLS is available for extra security.

5

What transport does Forge use?

Forge runs as a standard MCP server, launched via `npx`. It connects over standard I/O (stdio) to the MCP client.

コメント

「メモリとナレッジ」の他のコンテンツ

Memlord

MyrikLD

Memlord is a remote MCP server available at https://app.memlord.com.

Scento Perfume API (MCP server): free fragrance API, no key

Scento

Scento Perfume API is a free fragrance API and perfume notes database for developers and AI agents. Search 1,500+ perfumes and 400+ ingredients, compare scents, find similar perfumes, map scent families and build occasio

UmmahAPI

Yousuf Kazmi

Islamic source data for assistants: Quran, hadith, tafsir, duas, prayer times and qibla. Answers come from real sources with citations instead of recalled text, so verses and hadith are not hallucinated. 36,000+ hadiths

server-noonien - shared memory MCP

sequico

Shared, serverless, conflict-free memory for AI agents: a multi-machine drop-in for the MCP memory knowledge graph.

Azquo

Azquo Holdings Ltd

Exact, shared memory for AI agents: a hierarchical database where totals always add up, every write is attributed to the agent and person behind it, and any figure traces back to its source file. Agents create databases,

広告掲載