ArcRift MCP Server (Eshaan-Nair/ArcRift) is an MCP server listed on the M8ven Trust Index. It scores 89 out of 100, grade B. It declares 8 tools. No publisher has claimed this listing.

B
Emerging
89/100
1 month ago

ArcRift MCP Server

Persistent memory for AI coding tools that captures conversations, builds a searchable knowledge graph, and automatically injects relevant context into new prompts.

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

Eshaan-Nair

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.
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 2 credentials: GROQ_API_KEY, NEO4J_PASSWORD
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.
configARCRIFT_MCP_MODE
configARCRIFT_STORAGE_MODEZero-Docker Mode =sqlite replaces all Docker services with a single ArcRift.db file. Full feature parity — vector search, knowledge graph, job queue, everything.
configCHROMA_URL
configGRAPH_BACKEND
🔐 secretGROQ_API_KEY
configGROQ_MODEL
configLOCAL_OPENAI_MODEL
configLOCAL_OPENAI_URL
configLOG_LEVEL
🔐 secretNEO4J_PASSWORD
configNEO4J_URI
configNEO4J_USER
configOLLAMA_BASE_URL
configOLLAMA_EMBED_MODEL
configOLLAMA_MODEL
configOLLAMA_URL
configSQLITE_DB_PATH
Deployment configuration, supplied by whoever hosts the server. Users are not asked for these.
deployMONGO_URI
deployPORT
// 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

8/8 tools missing one or more hints — recall_context (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); store_memory (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); prune_memory (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +5 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 test coverage

6/8 tools referenced in tests (75%)

Write tests that reference each tool by name so every tool has at least one test.

Shell command execution

22 child_process calls — runs shell commands

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

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 4 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/eshaan-nair/arcrift)](https://m8ven.ai/mcp/eshaan-nair/arcrift)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: 5424ea14dd9a848dcbcfb49586f348324999af88
code hash: d97ad77beabcebcc53739523aaee650d6b24fe46c1fe33b4c1576cd5ede1c763
verified: 8/6/2026, 3:25:37 PM
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