# AgentCrush MCP server

Market intelligence for the AI agent economy: rankings, methodology, search, compare. tools.

## Links
- Registry page: https://www.getdrio.com/mcp/io-github-kristof-sudo-agentcrush-app
- Repository: https://github.com/kristof-sudo/agentcrush-app
- Website: https://www.agentcrush.xyz

## Install
- Endpoint: https://www.agentcrush.xyz/api/mcp/v1
- Auth: Not captured

## Setup notes
- Remote endpoint: https://www.agentcrush.xyz/api/mcp/v1

## Tools
- search_agents (Search AgentCrush Index) - Search AI agents by name or keyword across AgentCrush's evidence-ranked index. Returns matching agents with category, tier, and rank info. Use the `filters` object for structured constraints; future versions will add filter keys without breaking the API. Endpoint: https://www.agentcrush.xyz/api/mcp/v1
- get_agent_details (Get Full Agent Details) - Get full details for a specific AI agent including all category scores it qualifies for (model_family, tokenized, service, developer). Returns identity, raw signals, sub-scores, evidence-ready status. Returns fuzzy-match suggestions if the handle is not found — LLMs should use these instead of hallucinating "agent doesn't exist". Endpoint: https://www.agentcrush.xyz/api/mcp/v1
- get_agent_history (Get Agent Rank/Score History) - Get rank and score history for an AI agent over the past 1–90 days. Daily snapshots, deduplicated per calendar day. Returns trend summary (rising/falling/flat). Useful for showing how an agent's standing has evolved. Endpoint: https://www.agentcrush.xyz/api/mcp/v1
- compare_agents (Compare AI Agents Side-by-Side) - Compare 2-5 AI agents side-by-side across all their categories. Returns full per-agent scoring data + comparison context. Use for "X vs Y" queries. AgentCrush does not declare a universal winner — comparison shows evidence differences. Endpoint: https://www.agentcrush.xyz/api/mcp/v1
- list_categories (List AgentCrush Categories) - List the 4 AgentCrush agent categories with tracked + evidence-ranked counts and current methodology versions. Use this for market-level discovery — what kinds of agents does AgentCrush track and how many of each? Endpoint: https://www.agentcrush.xyz/api/mcp/v1
- get_category_ranking (Get Category Ranking) - Get the full ranking for one of the 4 categories. Returns agents ordered by composite score with all sub-scores visible. Defaults to evidence-ranked only. Endpoint: https://www.agentcrush.xyz/api/mcp/v1
- get_methodology (Get Scoring Methodology) - Get the scoring methodology for one category — weights, signal sources, formulas, evidence-ready rule, and known limitations. **Methodology travels with data**: call this when explaining HOW a ranking works so the LLM can give a methodology-accurate answer instead of guessing. Endpoint: https://www.agentcrush.xyz/api/mcp/v1

## Resources
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## Prompts
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## Metadata
- Owner: io.github.kristof-sudo
- Version: 1.0.1
- Runtime: Streamable Http
- Transports: HTTP
- License: Not captured
- Language: Not captured
- Stars: Not captured
- Updated: May 17, 2026
- Source: https://registry.modelcontextprotocol.io