capmonster-mcp
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Related Servers
- AlicenseNot gradedqualityCmaintenanceEnables solving reCAPTCHA v2/v3, hCaptcha, Cloudflare Turnstile, and image captchas through MCP tools. Users pay per solve with prepaid credit and can retrieve results asynchronously.MIT
- FlicenseNot gradedqualityBmaintenanceEnables solving captchas through the createTask/getTaskResult protocol, supporting 19 task types with real browser rendering and anti-bot handling.-
- FlicenseNot gradedqualityDmaintenanceIntegrates with 2Captcha to solve various CAPTCHA types (image, reCAPTCHA, hCaptcha, etc.) for AI agents via MCP.121 npm-
- FlicenseNot gradedqualityCmaintenanceEnables solving CAPTCHAs in MCP workflows with authorization, bounded attempts, and structured result validation.-

solvegate-mcpofficial
AlicenseAqualityAmaintenanceEnables agents to inspect web pages for Cloudflare Turnstile challenges without an API key, and clear Turnstile or WAF challenges using a SolveGate API key.6337 npm1MIT
CapSolver MCP Serverofficial
AlicenseAqualityBmaintenanceOfficial CapSolver MCP server that provides CAPTCHA detection and solving tools for authorized AI-agent, browser automation, testing, and data workflows.5157 PyPI1MIT
TDQS
Scored across 8 tools
The three reference tools (get_supported_tasks, get_task_parameters, get_docs) have overlapping purposes but are clearly distinguished: one lists types, one returns structured parameters, and one fetches documentation pages. The polling pair get_task_result vs get_task_result_wait is well-differentiated, and no two tools actually do the same thing.
All tools follow a consistent verb_noun pattern: get_* for informational/account operations and create_task for the single mutation. Names are specific, predictable, and use the same style throughout.
Eight tools is well-scoped for a captcha-solving service. The set covers balance, user-agent, task creation, two result-polling variants, and three complementary reference tools, each earning its place without redundancy.
The core captcha-solving lifecycle is covered: discover supported tasks, look up parameters and docs, create the task, and poll for the result. Account balance and user-agent fetching address operational needs, leaving no dead ends in the primary workflow.