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13 days ago
glama

odigo-elastic-s2l-mcp

Connects LLMs to Elasticsearch with a Semantic-to-Lexical layer that translates technical field names into business knowledge, enabling autonomous querying without hardcoded domain logic.

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// 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.
// 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 1 concrete improvement 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/rbeg1-odigo-elastic-s2l-mcp-13r9ds)](https://m8ven.ai/mcp/rbeg1-odigo-elastic-s2l-mcp-13r9ds)
commit: a9c4a0c46d8bc68ffabbd692515ffb6cf9036ad2
code hash: 74788200de52bbef64f6ef9f23b7be802fe41100ccd1731e7ba037848762afae
verified: 6/10/2026, 11:01:49 AM
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