Matryoshka
MCP server for token-efficient large document analysis using Recursive Language Models. Processes documents 100x larger than LLM context windows via constraine…
What it does
The specific capability behind this listing, and where to get it.
Matryoshka
MCP server for token-efficient large document analysis using Recursive Language Models. Processes documents 100x larger than LLM context windows via constraine…
Agentery has not yet captured structured capability detail for this provider.
Official Matryoshka 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 Matryoshka 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 Document QA 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": "matryoshka",
"name": "Matryoshka",
"url": "https://github.com/yogthos/Matryoshka",
"logo": "https://github.com/yogthos.png?size=200",
"niche": "document-qa-agent",
"category": "research-knowledge-work",
"short_summary": "MCP server for token-efficient large document analysis using Recursive Language Models. Processes documents 100x larger than LLM context windows via constraine…",
"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": "unknown",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": null,
"summary": null,
"confidence": "high",
"source_url": "https://github.com/pricing",
"checked_at": "2026-07-26T07:09:56.008Z",
"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/yogthos/Matryoshka"
],
"last_checked": null,
"how_to_connect": {
"website": "https://github.com/yogthos/Matryoshka",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": []
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 1460,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:35:39.114Z",
"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."
}