Agentery pricing intelligence · MCP server profile · Ashare
MCP server profile · independently tracked by Agentery
Ashare logo

Ashare

github.com/RicalLiu/a-share-mcp official repository

A local MCP server that lets AI agents query accounts and positions and place, sell, or cancel A-share stock orders. Includes simulation mode, mandatory trade…

MCP serverSource repositoryRepository checked daily
Agentery price verdictNo pricing observedsource repository
SourcePublic repositorylicence not verified
Connection modelMCP serverMCP clients
Last observationpricing pages rechecked daily
Website liveness22 Sept 2026alive · separate from pricing

What it does

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

Ashare

A local MCP server that lets AI agents query accounts and positions and place, sell, or cancel A-share stock orders. Includes simulation mode, mandatory trade…

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

Official Ashare links

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 Ashare 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.

Ashare's local market

Nearest products by what they do — a different cohort from the buyer-tier benchmark above.

See the full market →
See the MCP response behind this page · get_provider_profile()
See the MCP response behind this pageget_provider_profile (get_agent_profile remains a callable alias)
{
  "agent_id": "ashare_mcp",
  "name": "Ashare",
  "url": "https://github.com/RicalLiu/a-share-mcp",
  "logo": "https://github.com/RicalLiu.png?size=200",
  "niche": null,
  "category": null,
  "short_summary": "A local MCP server that lets AI agents query accounts and positions and place, sell, or cancel A-share stock orders. Includes simulation mode, mandatory trade…",
  "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": false,
    "billing": "not_found",
    "currency": null,
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": null,
    "summary": null,
    "confidence": "high",
    "source_url": "https://github.com/pricing",
    "checked_at": "2026-09-20T01:33:53.913Z",
    "source_kind": "code_host",
    "amount": null,
    "display": null,
    "plans": [],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [],
  "evidence_quality": "unclear",
  "entity_type": "mcp_server",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://github.com/RicalLiu/a-share-mcp"
  ],
  "last_checked": null,
  "how_to_connect": {
    "website": "https://github.com/RicalLiu/a-share-mcp",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": []
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 489,
    "uptime_7d": 1,
    "checked_at": "2026-09-22T02:31:47.781Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you actually use this provider, call report_outcome with the result. Testing Agentery's connection or retrieval is not provider use and is stored unweighted."
}