HiveMind (sureshsankaran/mcp-subagent-orchestrator) is an MCP server listed on the M8ven Trust Index. It scores 54 out of 100, grade D. It declares 16 tools. No publisher has claimed this listing.

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D
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54/100

HiveMind

An MCP orchestration server that coordinates multiple AI coding agents using Copilot CLI for parallel task execution with dependency management, file locking, and observability.

→ sureshsankaran/mcp-subagent-orchestrator· listed on glama

Caution. Specific findings reduced this grade. They are listed on the page. 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

sureshsankaran

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
⚠️
Known vulnerabilities in dependencies: 5 high
Affects packages this MCP installs at runtime. Upgrade or remove the affected dependency.
✅
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
// tools this server exposes16 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.

orchestrator_spawn

Spawn one or more AI agents to execute tasks. Agents are autonomous workers that can process instructions, run commands, and report results back to the orchestrator.

orchestrator_send

Send a message to a specific agent. Messages can be instructions, data payloads, queries, or cancellation requests.

orchestrator_wait
orchestrator_agent_status

Get detailed status of all active agents including their tasks, elapsed time, and results. Use this for visibility into what agents are doing.

orchestrator_kill

Terminate one or more agents. Supports graceful shutdown or forced termination. Use with caution as this will stop agent execution immediately.

orchestrator_submit_job
orchestrator_job_status
orchestrator_cancel_job
orchestrator_get_logs

Retrieve logs from the orchestrator with flexible filtering options. Supports filtering by job, agent, log level, time range, and content search.

orchestrator_get_metrics

Get system metrics and statistics from the orchestrator. Provides insights into agents, jobs, locks, memory usage, and event rates.

orchestrator_acquire_lock
orchestrator_release_lock
orchestrator_list_locks
orchestrator_health

Check the health status of the orchestrator system. Returns overall health status, uptime, version, and optionally detailed component health information.

orchestrator_config

Retrieve the current orchestrator configuration. Sensitive fields (tokens, passwords, secrets) are always masked for security.

get_system_status

Get comprehensive system status including agent pool stats, active locks, planner state, and recent activity. This tool provides a consolidated view of the orchestrator's health and current operational state, useful for: - Monitoring system health - Identifying contention hotspots - Troubleshootin…

// known CVEs in dependencies5 high1 medium2 low

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

high@modelcontextprotocol/sdk@1.25.1GHSA-345p-7cg4-v4c7

@modelcontextprotocol/sdk has cross-client data leak via shared server/transport instance reuse

high@modelcontextprotocol/sdk@1.25.1GHSA-8r9q-7v3j-jr4g

Anthropic's MCP TypeScript SDK has a ReDoS vulnerability

high@opentelemetry/exporter-prometheus@0.208.0GHSA-q7rr-3cgh-j5r3

Prometheus exporter process crash via malformed HTTP request

high@opentelemetry/sdk-node@0.208.0GHSA-q7rr-3cgh-j5r3

Prometheus exporter process crash via malformed HTTP request

highws@8.18.3GHSA-96hv-2xvq-fx4p

ws: Memory exhaustion DoS from tiny fragments and data chunks

Depend on this server? Get alerted when its CVEs change.Watch this server free →
// 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.
configDASHBOARD_PORT
configHIVEMIND_CLI_COMMAND
configHIVEMIND_CONFIG_PATH
configHIVEMIND_DASHBOARD
configHIVEMIND_DASHBOARD_PORT
configHIVEMIND_HOST
configHIVEMIND_IDLE_TIMEOUT
configHIVEMIND_LOG_LEVELLogging level (debug/info/warn/error) info
configHIVEMIND_MAX_AGENTSMaximum concurrent agents 10
configHIVEMIND_PERSISTENCE
configHIVEMIND_PERSISTENCE_ENABLED
configHIVEMIND_PORTDashboard server port 3000
configHIVEMIND_PREFERRED_CLI_PATHAbsolute path to CLI binary (bypass detection) auto-detect
configHIVEMIND_PREFERRED_CLI_TYPEOverride detected CLI type (copilot_v2, copilot_v1, codex, gh_copilot, claude) auto-detect
configHIVEMIND_RESPAWN_ON_REUSE
configHIVEMIND_SPAWN_TIMEOUT
configHIVEMIND_STORAGE_PATH
configHIVEMIND_WARM_POOL
configLOG_FORMAT
configLOG_LEVEL
configOTEL_ENABLEDEnable OpenTelemetry false
configOTEL_EXPORTER_OTLP_ENDPOINT
configOTEL_EXPORT_INTERVAL_MS
configOTEL_SERVICE_NAME
// 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

16/16 tools missing one or more hints — orchestrator_spawn (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); orchestrator_send (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); orchestrator_wait (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +13 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.

License file

No license file

Add a LICENSE file (MIT, Apache-2.0, etc.).

Shell command execution

8 child_process/subprocess calls in production code — runs shell commands (src/agents/pod.ts:366, src/agents/pod.ts:435, src/demo/intelligent-decompose-demo.ts:53)

Prefer library functions over shell-outs. If you must shell out, ensure all inputs are properly escaped.

Production dependencies are patched

0 critical, 5 high severity in production deps — @modelcontextprotocol/sdk@1.25.1 (high), @modelcontextprotocol/sdk@1.25.1 (high)

Run npm audit fix, or upgrade the affected packages to a non-vulnerable version.

Dependency freshness

2/21 production deps stale: openapi-types@2023-05-24 (3.2y), ajv-formats@2024-03-30 (2.4y)

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 5 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
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commit: cbcf478d53df476544f874c38800d76bb32fed29
code hash: 5d4a151e0c0adf71cbf907e00fd4f9115bb298223e1d07ec0020ab18051c67d9
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