P2P GPU matrix multiply, exact cosine search, and PCA/SVD verified via Freivalds' algorithm.
Connect Remote server
claude mcp add --transport http matrix-compute-mcp https://mcp.matrix-compute.net/mcp
{
"mcpServers": {
"matrix-compute-mcp": {
"url": "https://mcp.matrix-compute.net/mcp"
}
}
}
{
"servers": {
"matrix-compute-mcp": {
"type": "http",
"url": "https://mcp.matrix-compute.net/mcp"
}
}
}
Settings > Connectors > Add custom connector
URL: https://mcp.matrix-compute.net/mcp
Tools 5 found in our last check
get_network_statusQueries the Matrix Compute discovery relay for live GPU worker availability, total VRAM capacity, confidential computing (TEE) enclaves, and sats_per_gflop pricing.
estimate_job_costCalculates exact upload/download network bandwidth (MB), task count, GFLOPs, and satoshi cost estimates for a distributed matrix multiplication C (m x n) = A (m x k) x B (k x n).
execute_distributed_matmulExecutes verified distributed matrix multiplication C = A x B across decentralized GPU workers with dynamic Freivalds verification and L402 settlement. Accepts file paths (.npy, .npz, .safetensors) or inline 2D JSON arrays.
batch_similarity_searchRuns exact cosine similarity search between query embeddings (M x D) and corpus embeddings (N x D) on distributed GPUs using OUTPUT_GRID_2D zero-reduction tiling.
compute_pca_svdComputes verified top-k Principal Component Analysis (PCA) / Singular Value Decomposition (SVD) on distributed GPU workers via randomized subspace iteration or stateful power iteration.
Details
| Endpoint | https://mcp.matrix-compute.net/mcp (Streamable HTTP) |
| Package | [email protected] (PYPI, stdio) |
| First published | 15 Nov 2026 |
| Last updated | 15 Nov 2026 |
| Registry name | dev.pages.matrix-compute-website/matrix-compute-mcp |
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