Agentery pricing intelligence · MCP server profile · Documentation Context Provider
MCP server profile · independently tracked by Agentery
DC
Documentation Context Provider
Enable AI models to seamlessly access and query your local markdown technical documentation. This server allows for dynamic integration of documentation into L…
Agentery price verdictNo pricing observed
Connection modelMCP serverMCP clients
Last checked28 Jul 2026pricing & liveness
What it does
The specific capability behind this listing, and where to get it.
Enable AI models to seamlessly access and query your local markdown technical documentation. This server allows for dynamic integration of documentation into LLM workflows, enhancing the model's ability to provide accurate and context-aware responses. Update your documentation without needing to rebuild the server, ensuring your AI always has the latest information.
MCPMCPautonomy: workflow automation
Official Documentation Context Provider links
Price status · observed daily
No public commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
MCP
Is Documentation Context Provider good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
No price benchmark
No public commercial pricing observed.
Agentery has not observed a public price for this provider. No price does not mean free.
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.
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See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "mcp_docs_provider",
"name": "Documentation Context Provider",
"url": "https://smithery.ai/server/YassineTk/mcp-docs-provider",
"logo": null,
"niche": "document-qa-agent",
"category": "research-knowledge-work",
"short_summary": "Enable AI models to seamlessly access and query your local markdown technical documentation. This server allows for dynamic integration of documentation into L…",
"task_performed": "Enable AI models to seamlessly access and query your local markdown technical documentation. This server allows for dynamic integration of documentation into LLM workflows, enhancing the model's ability to provide accurate and context-aware responses. Update your documentation without needing to rebuild the server, ensuring your AI always has the latest information.",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [
"MCP"
],
"protocols_or_interfaces": [
"MCP"
],
"industry_fit": [
"general business"
],
"autonomy_level": "workflow automation",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": {
"observed": false,
"billing": "not_found",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public price found on the vendor site.",
"confidence": "high",
"source_url": "https://smithery.ai/server/YassineTk/mcp-docs-provider",
"checked_at": "2026-07-26T10:40:44.873Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "low",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://smithery.ai/server/YassineTk/mcp-docs-provider"
],
"last_checked": "2026-06-30",
"how_to_connect": {
"website": "https://smithery.ai/server/YassineTk/mcp-docs-provider",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": [
"MCP"
],
"note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 1920,
"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."
}