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OpenReplay Session Analysis MCP Server

Enables AI assistants to analyze OpenReplay session recordings for user behavior patterns, problem detection, and actionable insights through session search, journey analysis, and AI-powered summaries

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
networksecrets
◆ Risk level: medium
network + secrets — requires access to credentials or environment secrets.
⚙ Install config
Source-only — no published npm / pypi package detected.
Clone and follow the build instructions in the repo: github.com/rsp2k/openreplay-mcp-server
📈 Score historylast 2 snapshots
6/10/20266/11/2026 · 2 snapshots
⛁ Raw data
weekly downloads0
github stars0
forks0
open issues0
license✗ missing
readme length0 chars
last updated3d ago
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OpenReplay Session Analysis MCP Server — MCP Score: 50/100 | MCPScore | Timeahead