Chart Library
MCP server providing cohort intelligence for stock chart pattern analysis. Enables AI agents to query 25M+ pattern embeddings across 19K+ stocks with historica…
What it does
The specific capability behind this listing, and where to get it.
Chart Library
MCP server providing cohort intelligence for stock chart pattern analysis. Enables AI agents to query 25M+ pattern embeddings across 19K+ stocks with historica…
Agentery has not yet captured structured capability detail for this provider.
Official Chart Library links
Source repository available · no commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is Chart Library good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
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.
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 Quantitative Analysis Agent
Alternatives in the same niche, with observed price and liveness where available.
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "chart_library_mcp",
"name": "Chart Library",
"url": "https://github.com/grahammccain/chart-library-mcp",
"logo": "https://github.com/grahammccain.png?size=200",
"niche": "quantitative-analysis-agent",
"category": "financial-services",
"short_summary": "MCP server providing cohort intelligence for stock chart pattern analysis. Enables AI agents to query 25M+ pattern embeddings across 19K+ stocks with historica…",
"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": "2026-07-26T06:48:44.708Z",
"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/grahammccain/chart-library-mcp"
],
"last_checked": null,
"how_to_connect": {
"website": "https://github.com/grahammccain/chart-library-mcp",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": []
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 1197,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:31:59.345Z",
"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."
}