PrivAgents: Agents and MCP servers for Confidential AI Workflows (UvrajSB/PrivAgent) is an MCP server listed on the M8ven Trust Index. It scores 45 out of 100, grade D. It declares 4 tools. No publisher has claimed this listing.

D
Caution
45/100

PrivAgents: Agents and MCP servers for Confidential AI Workflows

PrivAgents is a privacy-first framework where intelligent agents interact with a secure MCP (Model Computation & Processing) server to perform encrypted data analysis using homomorphic encryption.

Caution. Specific findings reduced this grade. They are listed on the page. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

How we verified

⚡ Live Monitored: not connected

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Who stands behind it

UvrajSB

Source: mcp.so

Is this your MCP?

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Install from

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
⚠️
Tool descriptions don’t match what handlers do
1 tool describes read intent but its handler mutates — list_encryption (line 24: with open(file_path, "w") as f:)
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
// tools this server exposes4 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.

decrypt_interest_results

Decrypts similarity scores stored in the interest_results file.

list_decryption

Homomorphic Decryption of a base64-encoded BFV-encrypted vector into a list of plaintext integers.

list_encryption

Doing Homomorphic Encryption of a list of numbers.

match_movies

Matches encrypted user interest vector with plaintext movie vectors via dot product. Saves encrypted similarity scores to 'data/interest_results'.

// 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.
configMCP_SERVER_PORT
configMCP_SERVER_LOG_LEVEL
// 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

4/4 tools missing one or more hints — decrypt_interest_results (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); list_decryption (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); list_encryption (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +1 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.

Descriptions match behaviour

1 tool describes read intent but its handler mutates — list_encryption (line 24: with open(file_path, "w") as f:)

Rename the tool, rewrite the description, or move the side-effect into a separate clearly-named tool.

Tool inputs are validated

3/4 tool handlers declare input schemas (75%)

Declare an inputSchema with zod/joi/yup on every tool definition.

Tool handlers catch errors

Only 0/4 tool handlers wrap calls in try/catch (0%)

Wrap each tool handler body in try/catch and return a structured error response.

License file

No license file

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

Tests exist

No test files found

Add tests that exercise each declared tool.

Tool description accuracy

list_encryption: description implies read-only but handler writes/deletes/executes

Update tool descriptions to accurately reflect all capabilities — especially write, delete, or execute operations.

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 8 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 Verified](https://m8ven.ai/badge/mcp/uvrajsb/privagent?variant=verified)](https://m8ven.ai/mcp/uvrajsb/privagent)
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commit: 8ecdbcb48cce7aa6a955212f3ec20a2b7f7cee31
code hash: 686f55673c1f396a58f0cc47e350ed85b8b60ed747ba68fe2c470f8eb05aefdd
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