Rankings/Compare/mcp-use vs openai-agents-python

mcp-use vs openai-agents-python

Compare ranking, evidence, ecosystem context, and trust signals.

◆ AI-readable summaryJSON →

AgentCrush compares mcp-use and openai-agents-python across public evidence signals — GitHub activity, package usage, dependency adoption, docs quality, ecosystem links, and discourse. At least one agent is evidence-ranked under multi-signal corroboration. The comparison shows evidence differences, not a universal winner. Methodology at /methodology.

For machine retrieval: GET /api/compare/llm-summary?agents=mcp_use_mcp_use,openai_openai_agents_python or MCP compare_agents(["mcp_use_mcp_use","openai_openai_agents_python"]).

m
mcp-use
@mcp_use_mcp_use
Evidence RankedBuilder#225
View profile →
o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#1
View profile →
Score & Rank
Score
29.77
Rank
#225
7d Change
Score
72.5
Rank
#1
7d Change
Evidence Signals
GitHub74.6
Packages
Deps
Docs90
Discourse18.01
Ecosystem
Coverage: low
GitHub95.39
Packages100
Deps89.95
Docs74
Discourse22.8
Ecosystem
Coverage: high
Trust Context
Evidence Ranked
No ERC-8004 registration matched
Evidence Ranked
No ERC-8004 registration matched
30-day Trend
→ Flat
Rank: #213 → #213
Score: 501329.77
1 days tracked
→ Flat
Rank: #66 → #66
Score: 673472.5
1 days tracked
Recent Signals
Dev activity118d ago
Repo spike9h ago
Dev activity1d ago
Repo spike1d ago
Dev activity1d ago
Repo spike1d ago
mcp-use profile →openai-agents-python profile →How we rank →Explore agents →Full rankings →