69
/ 100
1 month ago
glama

Sherlog MCP

Provides persistent IPython shell sessions per conversation with DataFrame-centric architecture, enabling stateful data analysis, CLI tool execution, and integration of external MCP servers within the same workspace context.

Is this your MCP?

Claim it to get a verified publisher badge, a free copy of our full audit findings, and direct contact for any high-priority issues we find.

Install from

M8ven verifies MCPs across every public registry — install directly from whichever one you prefer.

// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configMCP_HOST
configMCP_PORT
configSHERLOG_ENABLE_ANDROID_TOOLS
configSHERLOG_ROOT
configWORKSPACE_ROOT
configREDIS_URL
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 6 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/getsherlog-sherlog-mcp-1uel26)](https://m8ven.ai/mcp/getsherlog-sherlog-mcp-1uel26)
commit: 5c3a2fce7bcdb0ea26a965bab36e0b526318b070
code hash: 93087408946ad42ccb65a3f79a227b365cb70e315040f04917a9b7e0e198493e
verified: 6/18/2026, 11:50:53 AM
view raw JSON →