blockrun-mcp — security grade SAFE, quality 73/100

Security audit verdict: SAFE · quality 73/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by BlockRunAI · MCP Server · ★ 394

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is blockrun-mcp safe to install? View the security audit →

About blockrun-mcp

@blockrun/mcp The payment layer for AI agents. BlockRun MCP is a Model Context Protocol server that gives any AI agent (Claude, GPT, Cursor, etc.) access to 41 LLM models, real-time web and X/Twitter search, prediction markets, crypto DEX data, whale tracking, image generation, and token swaps — all paid via x402 micropayments in USDC on Base. No API keys. No subscriptions. No accounts. Why blockrun-mcp Claude Code has task systems, token budgets, and multi-agent coordination. What it does not have: per-agent wallets, spending enforcement across sessions, or a way for a parent agent to delegate a budget to a child agent and block it when that budget is exhausted. BlockRun fills this gap. Every tool call is a real micropayment — authorized locally by a wallet the agent controls. Parent agents can delegate spending limits to child agents by . Usage is auditable on-chain at any time. This makes BlockRun the financial infrastructure layer for multi-agent systems, not just a model proxy. Quick Start A wallet is automatically created on first use. Fund it with

aiclaude-codellmmcpmcp-serverx402

Quick Facts

Stars394
Forks41
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score72.8344802408401/100
Last Updated2026-09-20
Created2026-01-12
Platformsclaude-code, mcp, node
Est. Tokens~16k

Compatible Skills

These tools work well together with blockrun-mcp for enhanced workflows:

  • ai-pair — semantic(0.19)+complementary+similar_pop+shared_platform (47%)

blockrun-mcp alternative? Top 6 similar tools

Looking for a blockrun-mcp alternative? If you're comparing blockrun-mcp with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • mysql_mcp_server by designcomputer · ⭐ 1.4k

    A Model Context Protocol (MCP) server that enables secure interaction with MySQL databases

  • claude-historian-mcp by Vvkmnn · ⭐ 178

    📜 An MCP server for conversation history search and retrieval in Claude Code

  • npcpy by NPC-Worldwide · ⭐ 1.5k

    The python library for research and development in NLP, multimodal LLMs, Agents, ML, Knowledge Graphs, and mor

  • awesome-hacking-lists by taielab · ⭐ 1.4k

    A curated collection of top-tier penetration testing tools and productivity utilities across multiple domains.

  • agentic-radar by splx-ai · ⭐ 1.1k

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  • hyper-mcp by hyper-mcp-rs · ⭐ 879

    📦️ A fast, secure MCP server that extends its capabilities through WebAssembly plugins.

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Frequently Asked Questions

What is blockrun-mcp?

blockrun-mcp is Live data for AI agents — search, research, markets, crypto, X/Twitter. Pay-per-call via x402 micropayments.. It is categorized as a MCP Server with 394 GitHub stars.

What programming language is blockrun-mcp written in?

blockrun-mcp is primarily written in TypeScript. It covers topics such as ai, claude-code, llm.

How do I install or use blockrun-mcp?

You can find installation instructions and usage details in the blockrun-mcp GitHub repository at github.com/BlockRunAI/blockrun-mcp. The project has 394 stars and 41 forks, indicating an active community.

What license does blockrun-mcp use?

blockrun-mcp is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to blockrun-mcp?

The top alternatives to blockrun-mcp on Agent Skills Hub include mysql_mcp_server, claude-historian-mcp, npcpy. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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