distributed-agent-orchestrator (mh-naderi/distributed-agent-orchestrator) 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

distributed-agent-orchestrator

Distributed multi-agent system built on MCP and LangGraph, with agents deployed as independent services on Kubernetes and monitored via Prometheus/Grafana. Local-first, no cloud required.

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

mh-naderi

Source: github_code

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
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
🔐
You'll be asked for 1 credential: ANTHROPIC_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// 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.
configMCP_PORT
configSEARCH_MAX_RESULTS
configSEARCH_MIN_INTERVAL
configSEARCH_MAX_ATTEMPTS
configSEARCH_RETRY_BACKOFF
configOLLAMA_HOST
configEMBEDDING_MODEL
configEVAL_JUDGE_MODEL
configRESEARCH_AGENT_URL
configRETRIEVAL_AGENT_URL
configCODE_ANALYSIS_AGENT_URL
configMCP_HTTP_TIMEOUT
configMCP_READ_TIMEOUT
configMCP_DISCOVERY_TTL
configMAX_CONCURRENT_RUNSwhere there is headroom.
configMAX_QUEUED_RUNS
configOLLAMA_MODEL
configOLLAMA_THINK
configOLLAMA_NUM_CTXThe interesting part is the budget. is 4096 tokens and one
configOLLAMA_NUM_GPU
configOLLAMA_KEEP_ALIVE
configHISTORY_BUDGET_FRACTION
configMAX_TASK_CHARSlonger than instead.
configMAX_SESSIONSSessions live in memory and are bounded by and SESSION_TTL;
configSESSION_TTLSessions live in memory and are bounded by MAX_SESSIONS and ;
configCLAUDE_MODELSet to change the model and CLAUDE_FALLBACKS=off to drop the
configCLAUDE_MAX_TOKENS
configCLAUDE_FALLBACKSSet CLAUDE_MODEL to change the model and =off to drop the
🔐 secretANTHROPIC_API_KEY
configORCHESTRATOR_METRICS_PORT
configRESEARCH_INDEX_TIMEOUT
configRESEARCH_AUTO_INDEX
configRETRIEVAL_DB_PATH
// 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

5/5 tools missing one or more hints — analyze_code (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); evaluate_expression (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); search_web (missing: readOnlyHint, 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.

License file

No license file

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

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/mh-naderi/distributed-agent-orchestrator)](https://m8ven.ai/mcp/mh-naderi/distributed-agent-orchestrator)
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commit: 7ae5619c13ef9748c6645a6cf9694a44f999b9a7
code hash: 72f7645ac35dc7bae2772ee8c65026ef1ec5d3b14f4fbae34db6568bd983e306
view raw JSON →
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