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github

prompt-control-plane

The control plane for AI prompts. Score, enforce policy, lock config, and audit every prompt — before it reaches any LLM. 20 MCP tools · 11 CLI commands · Zero LLM calls inside.

50poor
▣ Score BreakdownMCPScore = Σ(raw × weight)
DimensionRawWeighted
Security
35%
100
35.0
Freshness
25%
30
7.5
Adoption
20%
0
0.0
Quality
10%
20
2.0
Trust
10%
50
5.0
Total
49.5
⚿ Capabilities & Risk Explainer
fs readfs writeexecsecrets
◆ Risk level: medium· 20 tools · auth: API key
fs read + fs write + exec + secrets active — can execute code, access credentials, and make external network calls.
Tool nameDescriptionDestructive?
list_sessions✓ no
export_session✓ no
delete_session⚠ yes
purge_sessions⚠ yes
optimize_prompt✓ no
+15 more tools
refine_prompt✓ no
pre_flight✓ no
check_prompt✓ no
approve_prompt✓ no
estimate_cost✓ no
compress_context✓ no
classify_task✓ no
route_model✓ no
prompt_stats✓ no
prune_tools⚠ yes
configure_optimizer✓ no
get_usage✓ no
set_license✓ no
license_status✓ no
save_custom_rules✓ no
⚙ Install config
Source-only — no published npm / pypi package detected.
Clone and follow the build instructions in the repo: github.com/rishi-banerjee1/prompt-control-plane
📈 Score historylast 3 snapshots
6/19/20266/20/2026 · 3 snapshots
⛁ Raw data
weekly downloads0
github stars0
forks0
open issues0
license✗ missing
readme length0 chars
last updated1d ago
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prompt-control-plane — MCP Score: 50/100 | MCPScore | Timeahead