Access Github
Provides a framework-agnostic toolkit to build, instrument, observe, profile, evaluate, and optimize AI agents and workflows
What it does
The specific capability behind this listing, and where to get it.
Access Github
Provides a framework-agnostic toolkit to build, instrument, observe, profile, evaluate, and optimize AI agents and workflows
Official Access Github 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 Access Github 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 capability, compatibility and operational cost against comparable providers — Agentery keeps the price status explicit and never invents a verdict.
View the full niche →Comparable MCP Server Ecosystem
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": "access_github",
"name": "Access Github",
"url": "http://github.com/NVIDIA/AgentIQ",
"logo": "https://agentery.com/logos/CP-Z2FHNP.svg",
"niche": "mcp-server-ecosystem",
"category": "developer-tools-infra",
"short_summary": "Provides a framework-agnostic toolkit to build, instrument, observe, profile, evaluate, and optimize AI agents and workflows",
"task_performed": "Provides a framework-agnostic toolkit to build, instrument, observe, profile, evaluate, and optimize AI agents and workflows",
"inputs_accepted": [
"Agent workflows defined in YAML/Python",
"agent profiles",
"prompts",
"third-party tool integrations"
],
"outputs_produced": [
"Instrumented/optimized agent workflows",
"profiling and observability traces",
"evaluation results",
"optimized prompts and configurations",
"MCP servers"
],
"integrations_available": [
"LangChain",
"LlamaIndex",
"CrewAI",
"Microsoft Semantic Kernel",
"Google ADK",
"Agno",
"LangGraph",
"LangSmith",
"NVIDIA Dynamo",
"Model Context Protocol (MCP)",
"Agent-to-Agent (A2A) Protocol",
"FastMCP",
"Tavily",
"Redis",
"Microsoft Agent 365",
"NeMo Guardrails",
"PyPI"
],
"protocols_or_interfaces": [
"MCP",
"A2A"
],
"industry_fit": [
"developer tools"
],
"autonomy_level": "infrastructure",
"human_approval_needed": "unclear",
"pricing_model": "free",
"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": "2026-07-26T11:25:59.646Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [
"2.4k GitHub stars",
"681 forks",
"Apache-2.0 license",
"NVIDIA brand",
"SECURITY.md",
"Code of conduct"
],
"evidence_quality": "high",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"http://github.com/NVIDIA/AgentIQ",
"https://developer.nvidia.com/nemo-agent-toolkit"
],
"last_checked": "2026-06-16",
"how_to_connect": {
"website": "http://github.com/NVIDIA/AgentIQ",
"docs": "http://github.com/documentation",
"mcp": {
"endpoint": "http://github.com/mcp.json",
"transport": "http",
"config_snippet": "{\n \"mcpServers\": {\n \"access_github\": {\n \"url\": \"http://github.com/mcp.json\"\n }\n }\n}"
},
"a2a": null,
"api": {
"docs_url": "http://github.com/developer",
"endpoint": null
},
"protocols": []
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 1341,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:30:11.267Z",
"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."
}