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8 clients · secrets stay placeholders

JSON (mcpServers)Claude CodeCodexOpenCodeCursorVS CodeGemini CLIGoose

{
  "mcpServers": {
    "agentcrush-app": {
      "type": "http",
      "url": "https://www.agentcrush.xyz/api/mcp/v1"
    }
  }
}

claude mcp add --transport http agentcrush-app https://www.agentcrush.xyz/api/mcp/v1

[mcp_servers.agentcrush-app]
url = "https://www.agentcrush.xyz/api/mcp/v1"

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "agentcrush-app": {
      "type": "remote",
      "url": "https://www.agentcrush.xyz/api/mcp/v1",
      "enabled": true
    }
  }
}

{
  "mcpServers": {
    "agentcrush-app": {
      "type": "http",
      "url": "https://www.agentcrush.xyz/api/mcp/v1"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=agentcrush-app&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vd3d3LmFnZW50Y3J1c2gueHl6L2FwaS9tY3AvdjEifQ%3D%3D"
}

{
  "servers": {
    "agentcrush-app": {
      "type": "http",
      "url": "https://www.agentcrush.xyz/api/mcp/v1"
    }
  }
}

{
  "mcpServers": {
    "agentcrush-app": {
      "httpUrl": "https://www.agentcrush.xyz/api/mcp/v1"
    }
  }
}

extensions:
  "agentcrush-app":
    enabled: true
    name: "agentcrush-app"
    type: streamable_http
    uri: "https://www.agentcrush.xyz/api/mcp/v1"
    timeout: 300

Quality 91 / 100strong

protocol75 · weight 25

warn
protocol.modernnewest supported version is 2024-11-05; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
n/a
protocol.statelessonly applies to 2026-07-28 servers
pass
protocol.transportstreamable HTTP
n/a
protocol.list_ttlonly applies to 2026-07-28 servers

authorizationn/a · weight 15

n/a
auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
n/a
auth.secret_in_urlno templated URL

tool hygiene100 · weight 30

pass
tools.descriptionsevery tool has a description
pass
tools.description_lengthdescriptions are concise
pass
tools.schemasevery tool has an object input schema
pass
tools.annotations14 of 14 tools declare readOnlyHint or destructiveHint
pass
tools.directory_hintsevery tool declares readOnlyHint, destructiveHint, idempotentHint and openWorldHint
pass
tools.token_costabout 2,114 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump

stability100 · weight 15

pass
stability.changesno tool changes in 30 days
pass
stability.rug_pullno tool changed its meaning under the same name

dependenciesn/a · weight 15

n/a
deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

14 tools, about 2,114 tokens to load them all · tool set 47e87794c567 · checked 2026-10-20 13:17 UTC

Tool changes

No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 90 / 100

provenance90

liveness100

freshness65

hygiene100

+repository +namespace-matches-repo +website +reachable +uptime-99% ~updated-130d-ago

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remote	auth	reachable	uptime 30d	p50	protocol	last ok
`https://www.agentcrush.xyz/api/mcp/v1` streamable-http	none	yes	99%	843 ms	2024-11-05	2026-10-20

Tools (14)

`compare_agents`read-only	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.
`find_agents`read-only	Counterparty discovery: "which agents can do X and are safe to pay?" Returns the top 3 ranked candidates with liveness (30-day Ghost Index rule), trust tier, verified payment rails (x402/MCP/ERC-8004), scores, and endpoints, plus the total match count. The full ranked list (up to 50) is at https://agentcrush.xyz/api/agents/find/full — $0.05 via x402 on Base, or free with an AgentCrush Pro key.
`get_agent_changes`read-only	Pairwise delta scan over an agent's recent snapshots. Reports material changes in score, rank, github_stars, follower_count, identity_type, etc. Mirror of GET /api/agent/{handle}/changes.
`get_agent_details`read-only	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".
`get_agent_history`read-only	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.
`get_agent_trust`read-only	Single-call composite trust score (0-100) + classification (verified / provisional / unverified / low_trust) for delegation decisions. Combines confidence_tier, evidence tier, ERC-8004 verified identity, and risk flags. Mirror of GET /api/agent/{handle}/trust.
`get_category_ranking`read-only	Get the full ranking for one of the 5 categories. Returns agents ordered by composite score with all sub-scores visible. Defaults to evidence-ranked only.
`get_ecosystem_summary`read-only	One-call ecosystem-level summary: counts (total, evidence-ranked, archived), category mix (model_family/tokenized/service/developer/mcp_server), category leaders, snapshot volume last 30 days. Mirror of GET /api/trends/summary.
`get_methodology`read-only	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.
`get_protocol_adoption`read-only	How many indexed agents touch each major protocol/surface (ERC-8004 verified, Virtuals tokens, Agentverse, x402/Bazaar, HuggingFace, GitHub). Useful for ecosystem-state questions.
`get_top_movers`read-only	Returns the top weekly rank movers (up + down) computed from agents.weekly_delta. Useful for surfacing notable changes since last week. Default limit 10 per direction.
`list_categories`read-only	List the 5 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?
`search_agents`read-only	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.
`verify_counterparty`read-only	THE pre-transaction question in one free call: should my agent deal with this counterparty right now? Returns proceed / caution / reject with reasoning. Liveness-aware: an agent with no public activity signal in 30+ days never gets a clean proceed, even if well-ranked. Use before paying, delegating to, or integrating any agent. Deeper analysis (full risk decomposition, history, signed attestation) is x402/Pro priced — pointers included in the response.

Schemas: list_tools.

Similar MCP servers

Official server.json

{
  "name": "io.github.kristof-sudo/agentcrush-app",
  "_meta": {
    "io.modelcontextprotocol.registry/publisher-provided": {
      "auth": "none",
      "tools": [
        "search_agents",
        "get_agent_details",
        "get_agent_history",
        "compare_agents",
        "list_categories",
        "get_category_ranking",
        "get_methodology",
        "get_agent_trust",
        "get_top_movers",
        "get_protocol_adoption",
        "get_agent_changes",
        "get_ecosystem_summary"
      ],
      "docs_url": "https://www.agentcrush.xyz/developers/mcp",
      "llms_txt": "https://www.agentcrush.xyz/llms.txt",
      "use_cases": [
        "User asks about a specific AI agent (CrewAI, LangGraph, Qwen, Gemini, etc.) — call get_agent_details",
        "User asks 'best AI agent for X' — call get_category_ranking or search_agents with category filter",
        "User compares two agents — call compare_agents or retrieve the comparison page",
        "User asks how a ranking is calculated — call get_methodology(category)",
        "Agent needs delegation decision — call get_agent_trust for trust score + classification",
        "Agent needs ecosystem-level state — call get_ecosystem_summary or get_protocol_adoption",
        "User asks what changed recently — call get_top_movers or get_agent_changes"
      ],
      "categories": [
        "data",
        "intelligence",
        "directory",
        "agent-economy",
        "ai-agents"
      ],
      "rate_limit": "60 requests/minute per IP",
      "openapi_spec": "https://www.agentcrush.xyz/api/openapi.json",
      "methodology_url": "https://www.agentcrush.xyz/methodology",
      "discovery_manifest": "https://www.agentcrush.xyz/.well-known/mcp.json"
    }
  },
  "title": "AgentCrush",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://www.agentcrush.xyz/api/mcp/v1",
      "type": "streamable-http"
    }
  ],
  "version": "1.3.0",
  "repository": {
    "url": "https://github.com/kristof-sudo/agentcrush-app",
    "source": "github"
  },
  "websiteUrl": "https://www.agentcrush.xyz",
  "description": "Market intelligence for the AI agent economy: rankings, trust signals, liveness. 13 tools."
}