VoxellInc/forge-mcp

Overview

An MCP server that provides access to Voxell's hosted text-embedding API, generating vector embeddings in two dimensions: turbo (1024d) and pro (256d). It integrates with MCP-compatible clients to enable semantic search, clustering, and retrieval-augmented generation workflows.

Best for

Best for
Developers building MCP-based tools that need quick, hosted text embeddings for semantic search or RAG.

Use cases

• Generate embeddings for semantic search over documents
• Encode text for clustering or similarity comparisons
• Feed embeddings into a vector database for RAG pipelines

Notes

An MCP server that provides access to Voxell’s hosted text-embedding API, generating vector embeddings in two dimensions: turbo (1024d) and pro (256d). It integrates with MCP-compatible clients to enable semantic search, clustering, and retrieval-augmented generation workflows.

0 stars on GitHub. Last updated 2026-05-31. Licensed MIT.

Use cases

• Generate embeddings for semantic search over documents
• Encode text for clustering or similarity comparisons
• Feed embeddings into a vector database for RAG pipelines

Pros

• Simple MCP interface for embedding generation
• Two embedding dimensions to balance speed and precision
• Hosted API removes need for local model deployment

Cons

• No offline or self-hosted option
• Limited to two embedding models
• Dependent on Voxell API availability and pricing

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