C
Limited view
67/100
2 months ago

Cluster Execution MCP Server

Enables cluster-aware command execution and automatic task routing across distributed nodes based on system load, architecture, and OS requirements. It supports parallel execution, remote node management via SSH, and dynamic load balancing for agentic workflows.

Limited view. Automated analysis covers part of this stack. Findings reflect what we verified. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

Limited view: static analysis for Python is partially covered.

How we verified

Code Verified⚡ Live Monitored: not connected

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

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Who stands behind it

marc-shade

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.
// 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.
configAGENTIC_SYSTEM_PATH/mnt/agentic-system Base path for databases
configENHANCED_MEMORY_INTEGRATION
configOLLAMA_HOST
configSTORAGE_BASE
configCLUSTER_LOG_LEVEL
configCLUSTER_SSH_USERmarcssh SSH username for remote execution
configCLUSTER_SSH_TIMEOUT5 SSH connection timeout (seconds)
configCLUSTER_SSH_CONNECT_TIMEOUT2 Initial SSH connect timeout (seconds)
configCLUSTER_SSH_RETRIES2 Number of SSH retry attempts
configCLUSTER_CPU_THRESHOLD40 CPU usage % threshold for offloading
configCLUSTER_LOAD_THRESHOLD4 Load average threshold for offloading
configCLUSTER_MEMORY_THRESHOLD80 Memory usage % threshold for offloading
configCLUSTER_CMD_TIMEOUT300 Command execution timeout (seconds)
configCLUSTER_STATUS_TIMEOUT5 Status check timeout (seconds)
configCLUSTER_IP_CACHE_TTL300 IP resolution cache TTL (seconds)
configCLUSTER_GATEWAY192.168.1.1 Gateway IP for route detection
configCLUSTER_DNS8.8.8.8 DNS server for IP detection
configCLUSTER_BUILDER_IP
configCLUSTER_ORCHESTRATOR_IP
configCLUSTER_RESEARCHER_IP
// 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

33/33 tools missing one or more hints — send_message_to_node (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_conversation_history (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_my_active_conversations (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +30 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

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.

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 6 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/marc-shade-cluster-execution-mcp-1aoije)](https://m8ven.ai/mcp/marc-shade-cluster-execution-mcp-1aoije)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: 16f1f64a7a9125baac1ed71db7d520dba02954e2
code hash: d83cf46e0153e054b42120ad2c02f3b27f5de348f548a672f1c618e99f441985
verified: 6/17/2026, 12:16:16 PM
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