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hejdar-mcp

Runtime policy enforcement for AI agents. Evaluate every agent action against your organization's policies before execution, with observe and enforce modes.

updated 51d agogithub ↗
66fair
▣ Score BreakdownMCPScore = Σ(raw × weight)
DimensionRawWeighted
Security
35%
100
35.0
Freshness
25%
65
16.3
Adoption
20%
0
0.0
Quality
10%
100
10.0
Trust
10%
50
5.0
Total
66.2
⚿ Capabilities & Risk Explainer
networksecrets
◆ Risk level: medium
network + secrets — requires access to credentials or environment secrets.
⚙ Install config
Claude Desktop · Cursor · Windsurf · VS Code (Copilot) · Claude Code
add to your MCP client config:
{
  "mcpServers": {
    "hejdar": {
      "command": "uvx",
      "args": [
        "hejdar-mcp"
      ]
    }
  }
}
📈 Score historylast 17 snapshots
5/25/20266/10/2026 · 17 snapshots
⚙ Maintenance health
23/ 100 · is this project alive?
contributors (1y)2
top contributor share63%
releases (1y)0
ci✗ none
⛁ Raw data
weekly downloads0
github stars0
forks0
open issues0
license✓ present
readme length3646 chars
last publish40d ago
last commit51d ago
last updated4d ago
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hejdar-mcp — MCP Score: 66/100 | MCPScore | Timeahead