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#155
View profile →
o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#3
View profile →
Score & Rank
Score
30.6
Rank
#155
7d Change
Score
72.2
Rank
#3
7d Change
Evidence Signals
GitHub79.6
Packages
Deps
Docs90
Discourse18.01
Ecosystem
Coverage: low
GitHub95.03
Packages100
Deps88.64
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: #340 → #340
1 days tracked
→ Flat
Rank: #1239 → #1239
1 days tracked
Recent Signals
Dev activity73d ago
Dev activity1m ago
Repo spike1m ago
Repo spike4h ago
Repo spike8h ago
Dev activity12h ago
mcp-use profile →openai-agents-python profile →How we rank →Explore agents →Full rankings →