58
grade D
10 days ago
glama

Codex Peers MCP

Enables peer discovery and direct messaging between multiple Codex sessions running on a single machine. It allows AI sessions to coordinate, find other active peers by repository or context, and exchange messages via a local broker.

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// key findings
⚠️
Known vulnerabilities in dependencies: 3 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: CODEX_PEERS_TOKEN
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configCODEX_PEERS_DBSQLite backing store (${:-~/.codex-peers.db})
configCODEX_PEERS_NAMESPACEIsolation tip: on shared hosts, set a unique (and optionally CODEX_PEERS_TOKEN) to prevent cross-user message mixing.
configCODEX_PEERS_PORTLocal broker daemon on localhost:${:-7899}
configCODEX_PEERS_STALE_MS
🔐 secretCODEX_PEERS_TOKENIsolation tip: on shared hosts, set a unique CODEX_PEERS_NAMESPACE (and optionally ) to prevent cross-user message mixing.
configCODEX_PEER_ID(optional override for generated peer id)
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// 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/jscianna-codex-peers-mcp-ql4ywl)](https://m8ven.ai/mcp/jscianna-codex-peers-mcp-ql4ywl)
commit: 6090afe763618ff28445c856bede1f37633f30a1
code hash: 455ecc303d70a3383d0d9ecea61ab9ced785f9dc63bb1fd8423b674a6ac439aa
verified: 4/11/2026, 2:29:21 PM
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