cloud-chat-assistant (techempower-org/cloud-chat-assistant) is an MCP server listed on the M8ven Trust Index. It scores 39 out of 100, grade F. It declares 12 tools. No publisher has claimed this listing.

Warning

39/100

cloud-chat-assistant

Item: cloud-chat-assistant
Rating: 39
Author: M8ven

Multi-cloud MCP server that exposes cloud AI models as tools for AI CLI agents, supporting streaming, conversation history, parallel multi-model queries, and dynamic model discovery.

→ techempower-org/cloud-chat-assistant · listed on glama

Warning. Serious findings were identified. Review the full report before connecting. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

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Who stands behind it

techempower-org

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

🚨

Reads files from sensitive locations

Touches: ~/.config/azure-chat-assistant

// tools this server exposes12 tools

These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.

chat

Send a message to the Azure AI assistant and get a response.

multi_chat

Send a message to multiple models concurrently and get a combined response. If models is omitted, uses the configured default_models list. Each response includes per-model latency and a wall-time summary.

configure

View or change assistant settings.

reset

Clear conversation history for the current session.

clear_cache

Clear the in-memory response cache.

status

Show the current status and availability of models.

create_session

Create a new named chat session.

switch_session

Switch to a different chat session.

delete_session

Delete a chat session and its history.

list_sessions

List all available chat sessions.

models

List and test available models.

scan

Scan all models and show availability matrix with deployed/available status and latency.

// 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.

configAZURE_RESOURCE_GROUP

configAWS_PROFILE

// quality suggestions

Tool annotations

No tools have read-only/destructive annotations

Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.

All four hints declared on every tool

12/12 tools missing one or more hints — chat (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); multi_chat (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); configure (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +9 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

License file

No license file

Add a LICENSE file (MIT, Apache-2.0, etc.).

Tool test coverage

Only 2/12 tools referenced in tests (17%)

Write tests that reference each tool by name so every tool has at least one test.

No access to sensitive paths

Reads sensitive paths: ~/.config/azure-chat-assistant

Remove reads of sensitive system paths. If you genuinely need them, document why in the README.

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 5 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.

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commit: 99de5abcec5db5544d7ccf595ba4173fb2f17af9

code hash: b3b853e863a4dbc70303e5b60a0b9c00d7fc102b03b5c904c4c09d16eac5de90

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