SAM (PiGrieco/mcp-memory-server) is an MCP server listed on the M8ven Trust Index. M8ven has not graded it: we have no way to read this server ourselves. No publisher has claimed this listing.

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C
Limited view
71/100
29 days ago

SAM

Intelligent AI memory management system with ML auto-triggers that automatically saves and retrieves information across AI platforms without manual intervention.

→ PiGrieco/mcp-memory-server· listed on glama

Limited view. Automated analysis covers part of this stack. Findings reflect what we verified. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

Limited view: static analysis for Python is partially covered.

How we verified

Code Verified⚡ Live Monitored: not connected

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Who stands behind it

PiGrieco

Source: Glama

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Install from

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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 1 credential: HF_TOKEN
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_PLATFORM
configPROJECT_NAME
configDATABASE_NAME
configDEFAULT_PROJECT
configEMBEDDING_MODEL"": "all-MiniLM-L6-v2",
configENVIRONMENT"": "development",
configHOST
configAUTO_TRIGGER_ENABLED"": "true",
configML_MODEL_TYPE"": "huggingface",
configHUGGINGFACE_MODEL_NAME"": "PiGrieco/mcp-memory-auto-trigger-model",
configCLAUDE_MODE
configLOG_LEVEL"": "INFO",
configMEMORY_STORAGE
configSKIP_DATABASE
configPRELOAD_ML_MODEL"": "true",
configML_CONFIDENCE_THRESHOLD"": "0.7",
configML_TRIGGER_MODE"": "hybrid",
configTRIGGER_THRESHOLD"": "0.15",
configSIMILARITY_THRESHOLD"": "0.3",
configMEMORY_THRESHOLD"": "0.7",
configSEMANTIC_THRESHOLD"": "0.8",
configML_TRAINING_ENABLED"": "true",
configML_RETRAIN_INTERVAL"50": Retrain model after 50 new samples
configFEATURE_EXTRACTION_TIMEOUT"": "5.0",
configMAX_CONVERSATION_HISTORY"10": Context window for analysis
configBEHAVIOR_HISTORY_LIMIT"": "1000",
configCURSOR_MODE"": "true",
configLOVABLE_MODE
configREPLIT_MODE
configWINDSURF_MODE
configGITHUB_ACTIONS
configSERVER_HOST
configSERVER_PORT
configSERVER_MODE"": "universal",
configMONGODB_DATABASE"": "mcp_memory_dev"
configEMBEDDING_PROVIDER"": "sentence_transformers",
configREDIS_ENABLED
configREDIS_HOST
configREDIS_PORT
🔐 secretHF_TOKEN
Deployment configuration, supplied by whoever hosts the server. Users are not asked for these.
deployPORT
deployMONGODB_URI
// 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

66/66 tools missing one or more hints — handle_call_tool (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); save_memory (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); search_memories (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +63 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 handlers catch errors

5/10 tool handlers wrap calls in try/catch (50%)

Wrap each tool handler body in try/catch and return a structured error response.

Tests exist

No test files found

Add tests that exercise each declared tool.

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/pigrieco-mcp-memory-server-15wv02)](https://m8ven.ai/mcp/pigrieco-mcp-memory-server-15wv02)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: d6818d9657ecec921904a5c42cbba03a644787e0
code hash: 621924ab8809ab0b8e21df0321ab55ac6fd772be76c4ac76205e25e5073f3652
verified: 8/6/2026, 5:34:17 AM
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