Io.Github.BlockRunAI/Blockrun Mcp
openbooklet.com/mcp/io-github-blockrunai-blockrun-mcpopenbooklet.com/mcp/io-github-blockrunai-blockrun-mcp@0.2.2GET /api/v1/mcp-servers/io-github-blockrunai-blockrun-mcpBlockRun MCP Server - Access 30+ AI models via x402 micropayments. No API keys needed.
Developer Tools
Connects AI agents to external tools and services via the Model Context Protocol.
Use when researching products, finding academic papers, discovering competitors, reading webpage content, or getting cited answers grounded in real web sources. Use over generic search when semantic relevance matters.
Most image failures are prompt failures. This skill gives the MCP agent a repeatable structure for turning any user request into a prompt that renders clean typography, preserves layout on edits, and avoids AI slop. Defaults are tuned for **GPT Image 2** (best legible text), with fallbacks for DALL-
Disposable remote containers (with optional GPU) via Modal, paid per call in USDC. No Modal account, no GPU procurement â pay only for what runs.
`blockrun_rpc` POSTs a standard JSON-RPC 2.0 body to `/v1/rpc/{network}`. Flat **$0.002 per call**; a JSON-RPC **batch array charges per element**. Settlement in USDC via x402. Responses are cached briefly server-side for identical read calls (`X-Cache: HIT` is free of upstream latency but still bil
Use when user asks about event probabilities, prediction market odds, what people are betting on, Polymarket or Kalshi prices, or wants to find markets on a specific topic (elections, crypto, sports, macro events).
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