Azure AI Foundry Agent MCP (sebafo/azure-ai-foundry-mcp) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. No publisher has claimed this listing.

Back to MCP Trust IndexM8ven
C
Emerging
74/100

Azure AI Foundry Agent MCP

Enables interaction with Azure AI Agent Service by automatically discovering agents and creating MCP tools for querying and managing agent workflows.

→ sebafo/azure-ai-foundry-mcp· listed on glama

Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

How we verified

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Who stands behind it

sebafo

Source: Glama

Is this your MCP?

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Install from

Glamanot scored here

The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.

// 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.
// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
configPROJECT_ENDPOINTAzure AI Foundry project endpoint (required)
configUPDATE_INTERVALHow often (in seconds) to check for new or updated agents (default: 300)
configSERVER_TYPESet to "local" (default) or "web" to choose the transport mode
configSERVER_PORTPort number for web mode (default: 8000)
configSERVER_PATHPath for web mode (default: "/")
configLOG_LEVELSet the logging level (default: "WARNING"). Options include "DEBUG", "INFO", "WARNING", "ERROR", and "CRITICAL".
// quality suggestions

Tests exist

No test files found

Add tests that exercise each declared tool.

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// 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
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commit: f380c9204f09c2ff5ed249de0e28cc9ebbf40dc5
code hash: 9d39bf5412bd3f8e911da2c5d990fa4ef26641f2eeec48185eef191241b8f47a
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