We generate this report monthly from our live database of 39,762 MCP servers. Here's the state of the ecosystem as of June 2026.
Ecosystem Pulse
| Metric | Value |
|---|---|
| Total servers indexed | 39,762 |
| Active (push within 30d) | 100% |
Grade Distribution (Additive Model)
Our scoring combines Quality Score + Community Bonus + Trust Bonus.
| Grade | Count | % | What it means |
|---|---|---|---|
| B+ | 1,123 | 2.8% | Very good — close to elite |
| B | 7,187 | 18.1% | Good — solid quality + some community |
| C+ | 5,477 | 13.8% | OK — decent quality |
| C | 21,464 | 54.0% | Average — good foundation, no community signal |
| D | 4,351 | 10.9% | Needs work |
| F | 160 | 0.4% | Critical |
Key insight: 54% of MCP tools have solid code quality but zero community adoption. They're invisible to AI agents. The path from C to B is clear: get 10+ GitHub stars + stay active.
What Changed This Month
We rebuilt our scoring engine from static analysis only to three-dimensional additive model. The old system scored 85.7% of tools as Grade B — useless for differentiation. The new model creates natural spread by incorporating community signals (stars, activity, official status) and trust data as bonuses on top of quality scores.
Methodology
Full details: https://agent-tool-intel-production.up.railway.app/scoring/methodology
Check your server's grade: https://agent-tool-intel-production.up.railway.app
GitHub (open source): https://github.com/agent-tool-intel/agent-tool-intel
Report auto-generated by Agent Tool Intelligence. Published monthly.
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