AI Consensus Connector (TheStevenJohnstone/ai-consensus-connector) 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.

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C
Caution
74/100

AI Consensus Connector

Integrates AI Consensus into coding agents, routing decisions through three frontier AI models for independent analysis and cross-examination, returning a recommendation and strongest dissent.

→ TheStevenJohnstone/ai-consensus-connector· 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

TheStevenJohnstone

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: 1 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.
✅
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: AI_CONSENSUS_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// tools this server exposes5 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.

consult_ai_consensus

Route a decision, question, or task through three frontier AIs (Claude, GPT, Gemini) that answer independently, then cross-examine each other — returning one recommendation plus the strongest dissent. Intended as a STANDING part of the development loop: consult it as a matter of course for any decis…

start_ai_consensus

Start an AI Consensus run without waiting; returns a run id to collect later.

get_ai_consensus_result

Fetch the status/result of an AI Consensus run by id.

cancel_ai_consensus_run

Cancel an in-progress AI Consensus run by id.

check_ai_consensus_connection

Zero-cost setup check: verifies the API is reachable, your AI Consensus key is accepted, and (on bring-your-own-keys plans) which provider keys are present. Does NOT start a deliberation and costs nothing. Use right after installing the connector.

// known CVEs in dependencies1 high

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

high@modelcontextprotocol/sdk@1.0.0GHSA-w48q-cv73-mx4w

Model Context Protocol (MCP) TypeScript SDK does not enable DNS rebinding protection by default

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.
🔐 secretAI_CONSENSUS_API_KEYenv =aic_live_your_key_here \
configAI_CONSENSUS_API_URL(Self-hosting? add --env =https://your-instance.)
// 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 — consult_ai_consensus (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); start_ai_consensus (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_ai_consensus_result (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.

Tool inputs are validated

4/5 tool handlers declare input schemas (80%)

Declare an inputSchema with zod/joi/yup on every tool definition.

Tests exist

No test files found

Add tests that exercise each declared tool.

Production dependencies are patched

0 critical, 1 high severity in production deps — @modelcontextprotocol/sdk@1.0.0 (high)

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

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.
// embed badge in your README
[![M8ven Verified](https://m8ven.ai/badge/mcp/thestevenjohnstone/ai-consensus-connector?variant=verified)](https://m8ven.ai/mcp/thestevenjohnstone/ai-consensus-connector)
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commit: 7fe15241ee178a4b8648e8bc376c0b50754af295
code hash: 79fe9096264e87f3deee4bddd323f2ca6f5666a9c6af33e4bdd1e1e2e219c978
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