localmind (shaul1991/localmind) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 7 tools. No publisher has claimed this listing.

C
Emerging
74/100

localmind

A fully local AI stack that provides OpenAI/Anthropic-compatible LLM API, embeddings, mem0 memory, and second-brain RAG via MCP tools, all running independently with no cloud dependencies.

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

shaul1991

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 →

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.
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 4 credentials: EMBEDDINGS_KEY, LITELLM_MASTER_KEY, LOCALMIND_API_KEY, MCP_HTTP_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.
configBASE_URL
configBRAIN_BATCH/ BRAIN_CONCURRENCY / BRAIN_CHUNK_SIZE 32 / 4 / 2000 인덱싱 튜닝
configBRAIN_CHUNK_SIZEBRAIN_BATCH / BRAIN_CONCURRENCY / 32 / 4 / 2000 인덱싱 튜닝
configBRAIN_CONCURRENCYBRAIN_BATCH / / BRAIN_CHUNK_SIZE 32 / 4 / 2000 인덱싱 튜닝
configBRAIN_INDEXNOTES_DIR>/.brain-index.json 임베딩 인덱스 위치. git/싱크 볼트를 안 더럽히려면 밖으로
configCLAUDE_JOB_DIR
🔐 secretEMBEDDINGS_KEY
configEMBEDDINGS_MODELtext-embedding-3-small (게이트웨이가 bge-m3로 매핑)
configEMBEDDINGS_URLbge-m3 그대로 + GPU/전용 임베딩 서버(TEI/Infinity) 로 교체 (한국어 품질 유지하며 가속, 권장)
configEMBED_RETRIES
configEMBED_TIMEOUT_MS
🔐 secretLITELLM_MASTER_KEYOPENAI_API_KEY=sk-local # 값
🔐 secretLOCALMIND_API_KEY(없음) localmind 인증 시
configLOCALMIND_URL
configMCP_DEFAULT_MODELsonnet ask / ask_brain 기본 모델
configMCP_HTTP_ALLOW_NOAUTH
configMCP_HTTP_HOSTMCP_HTTP_PORT / 8788 / 0.0.0.0 원격 MCP 바인딩
configMCP_HTTP_PORT/ MCP_HTTP_HOST 8788 / 0.0.0.0 원격 MCP 바인딩
🔐 secretMCP_HTTP_TOKEN.env에 설정 후 make up-mcp → 노트북에서 서버별 원격 MCP로 접속 (아래 디바이스/서버별 관리)
configMCP_HTTP_URL
configMCP_INSTANCE서버마다 =서버명으로 독립 인스턴스 → 그 서버의 자원/메모리/노트를 로컬에서 관리
configMEMORY_BACKUP_FILE
configMODELsonnet npm run smoke # claude 백엔드
configNOTES_DIR"env": { "": "/내/노트/폴더", "OPENMEMORY_USER": "내이름" }
configOPENMEMORY_URL
configOPENMEMORY_USER"env": { "NOTES_DIR": "/내/노트/폴더", "": "내이름" }
// 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

7/7 tools missing one or more hints — whoami (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); ask (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); remember (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +4 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

6/7 tool handlers declare input schemas (86%)

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

Tool handlers catch errors

6/7 tool handlers wrap calls in try/catch (86%)

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.

Shell command execution

1 child_process call — 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 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/shaul1991/localmind)](https://m8ven.ai/mcp/shaul1991/localmind)
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commit: fde778daf824cbc7b10ecf4c21e071a6433e4e80
code hash: 79280848ac99e4e09cea797f11a2c7340e046d53f38c1d449149f8bb21f520a4
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