
AI Agent and MCP Server
An open-source Java project providing a simple AI agent and MCP server. It supports local model execution through Ollama or llama.cpp and uses LangChain4j.
What it does
The specific capability behind this listing, and where to get it.
AI Agent and MCP Server
An open-source Java project providing a simple AI agent and MCP server. It supports local model execution through Ollama or llama.cpp and uses LangChain4j.
Agentery has not yet captured structured capability detail for this provider.
Official AI Agent and MCP Server 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 AI Agent and MCP Server 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.
AI Agent and MCP Server's local market
Nearest products by what they do — a different cohort from the buyer-tier benchmark above.
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": "ai_agent_mcp_server",
"name": "AI Agent and MCP Server",
"url": "https://github.com/RamMohan222/ai-agent-and-mcp-server",
"logo": "https://github.com/RamMohan222.png?size=200",
"niche": null,
"category": null,
"short_summary": "An open-source Java project providing a simple AI agent and MCP server. It supports local model execution through Ollama or llama.cpp and uses LangChain4j.",
"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,
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"confidence": "high",
"source_url": "https://github.com/pricing",
"checked_at": "2026-09-22T03:19:36.258Z",
"source_kind": "code_host",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "unclear",
"entity_type": "github_project",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://github.com/RamMohan222/ai-agent-and-mcp-server"
],
"last_checked": null,
"how_to_connect": {
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"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": []
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 643,
"uptime_7d": null,
"checked_at": "2026-09-22T02:31:03.355Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
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},
"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."
}