Hive Compute

skills: {'id': 'compute.chat', 'name': 'compute.chat', 'description': "Run inference via Hive's OpenAI-compatible router. Submit a prompt or message array to any available model. Billed per input+output token in USDC on Base L2. Hive routes to the cheapest available model meeting your latency and quality spec.", 'tags': [], 'examples': None, 'input_modes': None, 'output_modes': None}, {'id': 'compute.embed', 'name': 'compute.embed', 'description': "Generate vector embeddings via Hive's embedding router. Billed per 1K input tokens in USDC on Base L2. Returns a float array suitable for semantic search, clustering, or RAG pipelines.", 'tags': [], 'examples': None, 'input_modes': None, 'output_modes': None}, {'id': 'compute.list_models', 'name': 'compute.list_models', 'description': 'Browse all models available through the Hive inference router — including per-token pricing in USDC, context window size, latency tier, and provider. No authentication required.', 'tags': [], 'examples': None, 'input_modes': None, 'output_modes': None}, {'id': 'compute.estimate_cost', 'name': 'compute.estimate_cost', 'description': 'Estimate the USDC cost for a prompt before running inference. Returns cost breakdown by input tokens, output tokens, and routing fee. Helps agents budget before committing a payment.', 'tags': [], 'examples': None, 'input_modes': None, 'output_modes': None}, {'id': 'compute.get_usage', 'name': 'compute.get_usage', 'description': "Get an agent's compute usage history — total tokens consumed, total USDC spent, breakdown by model, and inference call log with timestamps.", 'tags': [], 'examples': None, 'input_modes': None, 'output_modes': None}; uptime_30d 1.0%; p95 289.6ms; conformance: pass

How to connect

https://hive-mcp-compute.onrender.com/mcp

curl -X POST https://hive-mcp-compute.onrender.com/mcp \
  -H 'Content-Type: application/json' \
  -H 'Accept: application/json, text/event-stream' \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{}}'