CapMonsterCloud/capmonster-mcp-captcha-solver
by Various
Official CapMonster Cloud MCP server — AI captcha solver for reCAPTCHA v2/v3, Cloudflare Turnstile & DataDome. Let Claude, Cursor, and other AI agents solve captchas directly via M
MCP
CapMonsterCloud/capmonster-mcp-captcha-solver
Added 23 Sept 2026
Overview
An MCP server from CapMonster Cloud that lets AI agents solve captchas. It connects MCP-compatible tools like Claude and Cursor to CapMonster's solving service. Supports reCAPTCHA v2/v3, Cloudflare Turnstile, and DataDome.
Best for
Best for
Developers building MCP-connected agents that need programmatic captcha solving.
Use cases
- Add captcha solving to Claude-based automation workflows
- Handle Cloudflare Turnstile challenges in MCP-enabled agents
- Integrate DataDome challenge resolution into Python or MCP agent tooling
How to use
Install
uvx capmonster-mcp Tested with
Claude Desktop
Example client config
{\n "mcpServers": {\n "capmonster": {\n "command": "uvx",\n "args": ["capmonster-mcp"],\n "env": {\n "CM_API_KEY": "your_api_key_here"\n }\n }\n }\n} Notes
An MCP server from CapMonster Cloud that lets AI agents solve captchas. It connects MCP-compatible tools like Claude and Cursor to CapMonster’s solving service. Supports reCAPTCHA v2/v3, Cloudflare Turnstile, and DataDome.
1 stars on GitHub. Last updated 2026-09-23. Licensed MIT.
Use cases
- Add captcha solving to Claude-based automation workflows
- Handle Cloudflare Turnstile challenges in MCP-enabled agents
- Integrate DataDome challenge resolution into Python or MCP agent tooling
Pros
- Official CapMonster Cloud MCP server
- Covers several major captcha systems in one integration
- Python implementation fits common agent stacks
Cons
- Very early-stage project with only 1 GitHub star
- Vendor attribution is unclear (listed as ‘Various’)
- No evidence of active maintenance or release history
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Official CapMonster Cloud MCP server
- Covers several major captcha systems in one integration
- Python implementation fits common agent stacks
Cons
- Very early-stage project with only 1 GitHub star
- Vendor attribution is unclear (listed as 'Various')
- No evidence of active maintenance or release history
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