cmux-agent-mcp (multiagentcognition/cmux-agent-mcp) is an MCP server listed on the M8ven Trust Index. M8ven has not graded it: there is no public source to read and no endpoint we can reach, so there is nothing for us to inspect. No publisher has claimed this listing.

C
Emerging
74/100
2 months ago

cmux-agent-mcp

A programmable terminal control plane that enables AI agents to orchestrate, monitor, and interact with multiple parallel AI CLI sessions and browser instances within CMUX. It provides over 80 tools for workspace management, pane manipulation, and cross-agent communication to facilitate complex multi-project workflows.

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

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Who stands behind it

multiagentcognition

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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// 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.
// 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.
configCMUX_PROJECT_ROOT
configCMUX_SOCKET_PATH
configCMUX_SURFACE_ID
configCMUX_WORKSPACE_ID
configMACP_PROJECT_ROOT
configSUDO_USER
configXDG_CONFIG_HOME
// 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

63/63 tools missing one or more hints — cmux_status (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); cmux_tree (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); cmux_identify (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +60 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.

No arbitrary install scripts

Has postinstall/preinstall script — runs arbitrary code on npm install

Remove postinstall/preinstall hooks unless they’re essential.

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 4 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/multiagentcognition-cmux-agent-mcp-oryz3y)](https://m8ven.ai/mcp/multiagentcognition-cmux-agent-mcp-oryz3y)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: 32b113bf705c039519abdcbd1936c9f6c708858b
code hash: cf29a85aef8034e14974fa87a6d460f06caaa96bc99155f20b429dcd03764c17
verified: 6/15/2026, 2:24:50 PM
view raw JSON →
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