awesome-finance-mcp — not yet audited

by BlockRunAI · MCP Server · ★ 208

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

About awesome-finance-mcp

Awesome Finance MCP & Skills A curated list of MCP servers and AI skills for finance, trading, and crypto agents. Maintained by BlockRun - Give your AI agent a wallet, not API keys. 🔥 Featured Contents MCP Servers Stock Market Data Providers Trading Execution Cryptocurrency Data Providers Trading Execution On-Chain Analytics DeFi & Swaps Personal Finance Payments & Banking Blockchain & Web3 Financial Intelligence Skills (Workflows) Skills Community Community Contributions 🆕 Stock Market Data Providers | [Maverick MCP](ht

ai-agentsawesomeawesome-listblockchainclaudecryptodefifinancemcpmodel-context-protocol

Quick Facts

Stars208
Forks77
CategoryMCP Server
Quality Score54.8367340447095/100
Open Issues4
Last Updated2026-09-05
Created2026-01-17
Platformsbrowser, claude-code, mcp
Est. Tokens~2k

Compatible Skills

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

awesome-finance-mcp alternative? Top 6 similar tools

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Frequently Asked Questions

What is awesome-finance-mcp?

awesome-finance-mcp is A curated list of MCP servers for AI finance agents. It is categorized as a MCP Server with 208 GitHub stars.

How do I install or use awesome-finance-mcp?

You can find installation instructions and usage details in the awesome-finance-mcp GitHub repository at github.com/BlockRunAI/awesome-finance-mcp. The project has 208 stars and 77 forks, indicating an active community.

What are the best alternatives to awesome-finance-mcp?

The top alternatives to awesome-finance-mcp on Agent Skills Hub include maverick-mcp, polymarket-mcp-server, awesome-openclaw. 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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