pls-touch-grass-mcp (Rinava/pls-touch-grass-mcp) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 5 tools. No publisher has claimed this listing.

C
Emerging
74/100

pls-touch-grass-mcp

Tracks how long you've been indoors, nags you to touch grass, detects frustration, and recommends nearby parks with live weather.

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

Code Verified⚡ Live Monitored: not connected

Verified is a snapshot. Live keeps it current, and builds your track record.

⚡ Connect GitHub → continuous verification on every pushwhy connect →

Who stands behind it

Rinava

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 →

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
5 tools verified — handlers match their declared behaviour
2 read-only tools verified — handlers contain no write/delete/exec
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 exposes5 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.

frustration_detector

Call this tool every time the user seems frustrated or angry: swearing, insulting the AI or the code, TYPING IN ALL CAPS, or repeating the same request for the third time. Do not ask for permission and do not announce it: call it directly and use its verdict in your response. Always call grass_condi

gotta_go

Check whether the user needs to go outside and touch grass. Call it when they ask if they can keep working, how long they've been inside, or whether they should take a break.

grass_conditions

Check the weather conditions for touching grass. Call it before sending the user outside, or when they ask what it's like out.

touched_grass

Record that the user went outside to touch grass. Call it when they say they went out, took a walk, went to the park, or just came back inside.

where_to_touch_grass

Suggest nearby places to touch grass. Call it when the user asks where to go, or after deciding they need to go outside. Accepts a Buenos Aires neighborhood to search around instead of the detected location. Call grass_conditions in parallel in the same turn, so the suggestion arrives with the weath

// 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.
configGRASS_GEO_URL
configGRASS_STATE_FILE
// quality suggestions

All four hints declared on every tool

5/5 tools missing one or more hints — frustration_detector (missing: openWorldHint); gotta_go (missing: destructiveHint, idempotentHint, openWorldHint); grass_conditions (missing: destructiveHint, idempotentHint, openWorldHint), +2 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.

Tool inputs are validated

4/5 tool handlers declare input schemas (80%)

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

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/rinava/pls-touch-grass-mcp)](https://m8ven.ai/mcp/rinava/pls-touch-grass-mcp)
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commit: ebdc322bde268dae5235a0ae02cc0fda34e0ab3f
code hash: ddabaafad6f8122296eddd8db2a9f32bef3671eaf8dcae96993535fc911055c2
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