pi-modal-mcp (salus-ryan/pi-modal-mcp) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 15 tools. No publisher has claimed this listing.

Back to MCP Trust IndexM8ven
C
Emerging
74/100

pi-modal-mcp

Enables MCP-aware agents to drive Modal serverless compute, including GPU workers and headless Chromium for web browsing with screenshots.

→ salus-ryan/pi-modal-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

salus-ryan

Source: Glama

Is this your MCP?

Claim it to get a verified publisher badge, a free copy of our full audit findings, and direct contact for any high-priority issues we find. Or connect your repo for our deepest verification, Live Monitored: read-only, revoke anytime. What we access →

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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.
// 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.

modal_ping

Health-check the Modal frontend.

modal_models

Fan out N parallel workers on Modal. Returns JSON with elapsed time and per-worker results.

modal_browse

Open a URL in a headless Chromium browser inside a Modal container and return a PNG screenshot.

modal_swarm

Run a prompt across N parallel OSS model workers on Modal GPUs (a model swarm).

modal_swarm_stream

Stream a prompt across N parallel OSS model workers, returning all tokens as they generate.

modal_synthesize

Run a prompt across N parallel OSS model workers, then synthesize one canonical answer.

modal_verify

Execute Python code in a Modal sandbox and return the result.

modal_cognition

Run the full swarm cognition loop with test generation, conflict detection, and frontier verification.

modal_coalition

Read coalition performance stats or select the best coalition adaptively.

modal_deltas

Read the persistent delta (learning) dataset.

modal_workspace

Operate on a persistent repository workspace (file tree on a Modal volume).

modal_test

Generate assert-based test cases for a coding goal.

// 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.
configMODAL_TASK_ID
configMODAL_FRONTEND
// 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

15/15 tools missing one or more hints — modal_ping (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); modal_models (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); modal_browse (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +12 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.

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 3 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/salus-ryan/pi-modal-mcp)](https://m8ven.ai/mcp/salus-ryan/pi-modal-mcp)
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commit: 6ec9bb8b9b22c43cb2efd6a19aaeef770ac5faf8
code hash: 546e0c32288afdc8f98f17d5c0fa48e944f28070e6f10cd5d885e5274060282d
view raw JSON →
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