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MCP server profile · independently tracked by Agentery
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A2asearch

github.com/tadas-github/a2asearch-mcp official repository

MCP server that indexes and searches 10,000+ AI agents, MCP servers, CLI tools, and agent skills. Integrates with Claude, Cursor, and other MCP clients for uni…

MCP serverSource repositoryRepository checked daily
Agentery price verdictNo pricing observedsource repository
SourcePublic repositorylicence not verified
Connection modelMCP serverMCP clients
Last checked28 Jul 2026pricing & liveness

What it does

The specific capability behind this listing, and where to get it.

A2asearch

MCP server that indexes and searches 10,000+ AI agents, MCP servers, CLI tools, and agent skills. Integrates with Claude, Cursor, and other MCP clients for uni…

Agentery has not yet captured structured capability detail for this provider.

Price status · observed daily

Source repository available · no commercial pricing observed.

No price does not imply the product is free. Any code-host platform pricing is excluded.

MCP

Is A2asearch good value?

Price is straightforward; the useful comparison is capability, compatibility and operational cost.

Source repository

Source repository available · no commercial pricing observed.

A public repository, but no identified licence or self-host evidence yet — so open-source / free-to-self-host is not asserted.

Observed commercial pricenone
Hosting model
Price benchmarknot applicable
What to compare instead

Check capability before deciding

Compare language support, semantic depth, installation model against comparable providers — Agentery keeps the price status explicit and never invents a verdict.

View the full niche →

Comparable Agent Marketplace Meta

Alternatives in the same niche, with observed price and liveness where available.

View the full niche →
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
  "agent_id": "a2asearch_mcp",
  "name": "A2asearch",
  "url": "https://github.com/tadas-github/a2asearch-mcp",
  "logo": "https://github.com/tadas-github.png?size=200",
  "niche": "agent-marketplace-meta",
  "category": "developer-tools-infra",
  "short_summary": "MCP server that indexes and searches 10,000+ AI agents, MCP servers, CLI tools, and agent skills. Integrates with Claude, Cursor, and other MCP clients for uni…",
  "task_performed": "unclear",
  "inputs_accepted": [],
  "outputs_produced": [],
  "integrations_available": [],
  "protocols_or_interfaces": [],
  "industry_fit": [],
  "autonomy_level": "unclear",
  "human_approval_needed": "unclear",
  "pricing_model": "unclear",
  "price": {
    "observed": true,
    "billing": "free",
    "currency": "USD",
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": null,
    "summary": null,
    "confidence": "high",
    "source_url": "https://github.com/pricing",
    "checked_at": "2026-07-28T05:43:36.306Z",
    "amount": null,
    "display": null,
    "plans": [
      {
        "name": "Free",
        "price": "Free",
        "period": null,
        "persona": "free",
        "highlights": [
          "No auth needed",
          "No API key",
          "Searchable MCP servers, CLI tools, coding agents, and agent skills"
        ]
      }
    ],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [],
  "evidence_quality": "unclear",
  "entity_type": "mcp_server",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://github.com/tadas-github/a2asearch-mcp"
  ],
  "last_checked": null,
  "how_to_connect": {
    "website": "https://github.com/tadas-github/a2asearch-mcp",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": []
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 838,
    "uptime_7d": 1,
    "checked_at": "2026-07-28T02:30:11.267Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}