Motion MCP Server (nicstark/motion-mcp-server-01) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 10 tools. No publisher has claimed this listing.

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C
Emerging
74/100

Motion MCP Server

Enables AI assistants to manage tasks, projects, workspaces, schedules, comments, custom fields, recurring tasks, and statuses in Motion through natural language conversations.

→ nicstark/motion-mcp-server-01· 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.

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Who stands behind it

nicstark

Source: Glama

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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.
🔐
You'll be asked for 1 credential: MOTION_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// known CVEs in dependencies1 low

Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.

lowvitest@4.1.0GHSA-82fw-gwwq-j7x9

Vitest: Path Traversal / Arbitrary File Read via @vitest/mocker Redirect Mock

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// 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.
🔐 secretMOTION_API_KEYyour Motion API key
configMOTION_MCP_TOOLSTool configuration works the same as the local server. Set in wrangler.toml under [vars], or override via wrangler secret put MOTION_MCP_TOOLS.
configVALIDATION_MODE
// 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

10/10 tools missing one or more hints — motion_projects (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); motion_tasks (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); motion_workspaces (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +7 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 test coverage

5/10 tools referenced in tests (50%)

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

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/nicstark/motion-mcp-server-01)](https://m8ven.ai/mcp/nicstark/motion-mcp-server-01)
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commit: f0cbc59be234db22af09b830e2486328de7b74c1
code hash: c8ec26d5d98fddbf3f39311e8ce7e6ae0ad234fe0e013dcead953abbfc75ef2f
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