Evidra
Quality Score
73
/100
Evidra — Flight recorder for AI infrastructure agents
§01 Install
Claude Desktop (Docker)
{
"mcpServers": {
"evidra": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"ghcr.io/vitas/evidra-mcp:0.4.7"
],
"env": {
"EVIDRA_ENVIRONMENT": "<evidra_environment>",
"EVIDRA_EVIDENCE_DIR": "<evidra_evidence_dir>",
"EVIDRA_SIGNING_MODE": "<evidra_signing_mode>",
"EVIDRA_SIGNING_KEY": "<your-evidra_signing_key>",
"EVIDRA_SIGNING_KEY_PATH": "<evidra_signing_key_path>"
}
}
}
}§02 Environment variables
EVIDRA_ENVIRONMENTEnvironment label (production, staging, development)
EVIDRA_EVIDENCE_DIRDirectory for evidence JSONL storage
EVIDRA_SIGNING_MODESigning mode: strict (default) or optional (ephemeral local mode)
EVIDRA_SIGNING_KEYsecret
Base64-encoded Ed25519 private key (required for strict mode)
EVIDRA_SIGNING_KEY_PATHPath to PEM-encoded Ed25519 private key (required for strict mode if key not inline)
§03 MCP Quality Score · methodology
freshness
23
completeness
10
installability
25
documentation
10
stability
5
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