71
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3 days ago
glama

tigergraph-mcp

Enables AI agents to interact with TigerGraph databases through the Model Context Protocol, supporting graph operations, schema queries, and GSQL execution via natural language.

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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.
🔐
You'll be asked for 2 credentials: SNOWFLAKE_PASSWORD, SNOWFLAKE_PRIVATE_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configSNOWFLAKE_HOST
configSNOWFLAKE_ACCOUNT
configSNOWFLAKE_MCP_ENDPOINT
configSNOWFLAKE_MCP_VERBOSE
configSNOWFLAKE_MCP_HOST
configSNOWFLAKE_MCP_PORT
configSNOWFLAKE_PAT
🔐 secretSNOWFLAKE_PASSWORD
configSNOWFLAKE_USER
configSNOWFLAKE_ROLE
configSNOWFLAKE_WAREHOUSE
configSNOWFLAKE_PASSCODE
🔐 secretSNOWFLAKE_PRIVATE_KEY
configSNOWFLAKE_PRIVATE_KEY_FILE
configSNOWFLAKE_PRIVATE_KEY_FILE_PWD
configTG_PROFILEstaging tigergraph-mcp
configSF_PROFILE
configLLM_MODEL
configLLM_PROVIDER
// 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 4 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/devanshu-tg-tg-sf-mcp-1o0kcm)](https://m8ven.ai/mcp/devanshu-tg-tg-sf-mcp-1o0kcm)
commit: 8a14e11b306787e8d16ed98528c19949826cd6af
code hash: e848b7dec7d9f8db98ea87171494c106132403ecf4327c0b4899cc50d3b46d18
verified: 6/27/2026, 8:55:01 AM
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