Official Model Context Protocol (MCP) server and high-level verifiable AI primitives for distributed GPU matrix multiplication
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# `matrix-compute-mcp`: Official MCP Server & High-Level Verifiable AI Primitives [](https://colab.research.google.com/github/matrix-compute/matrix-compute-colab/blob/main/01_quickstart_distributed_matmul.ipynb) `matrix-compute-mcp` is an independent extension package built on top of [`matrix-compute-sdk`](../matrix-compute-sdk) that provides: 1. **High-Level Verifiable AI Primitives (`matrix_compute_mcp.ai`):** Drop-in PyTorch layers (`DistributedLinear`, `DistributedLoRALinear`), massive exact cosine similarity search (`distributed_cosine_similarity`), and distributed spectral PCA/SVD (`distributed_pca_svd`) — all verified in $O(n^2)$ via Freivalds' algorithm. 2. **Official Model Context Protocol Server (`matrix-compute-mcp`):** Exposes decentralized GPU TFLOPS to autonomous AI agents (Claude Desktop, Cursor, Antigravity, LangChain, OpenClaw) over stdio/JSON-RPC 2.0 with L402 Macaroon or trial API key authentication. --- ## Quick Start ### 1. MCP Client Configuration (Claude Desktop / Cursor / Antigravity) ```json { "mcpServers": { "matrix-compute": { "command": "uvx", "args": ["matrix-compute-mcp"], "env": { "MATRIX_NOSTR_RELAYS": "wss://relay.matrix-compute.net", "MATRIX_SETTLEMENT_API_URL": "https://settlement.matrix-compute.net", "MATRIX_L402_MACAROON": "<your-l402-macaroon-or-leave-unset-for-trial>" } } } } ``` ### 2. Exposed MCP Tools | Tool Name | Description | |---|---| | `get_network_status` | Queries the discovery relay for live GPU worker count, total VRAM, TEE enclaves, and `sats_per_gflop` pricing. | | `estimate_job_cost` | Computes exact upload/download bandwidth (MB), task count, GFLOPs, and satoshi cost estimates via `BandwidthProfiler`. | | `execute_distributed_matmul` | Executes verified distributed matrix multiplication $C = A \times B$ from `.npy`, `.npz`, `.safetensors`…
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