SequentialThinking (LseKit/SequentialThinking) is an MCP server listed on the M8ven Trust Index. It scores 71 out of 100, grade C. It declares 26 tools. No publisher has claimed this listing.

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C
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71/100

SequentialThinking

Dual MoA (Self-MoA + Iterative-MoA) reasoning MCP server with 26 tools for structured thinking. LLM-powered inference, Chinese FTS5 search, SQLite persistence, quality scoring, bias detection, and 192 unit tests. Supports Streamable HTTP and stdio transport.

→ LseKit/SequentialThinking· 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

Verified is a snapshot. Live keeps it current, and builds your track record.

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Who stands behind it

LseKit

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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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
✅
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: DEEPSEEK_API_KEY, DASHSCOPE_API_KEY
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.
🔐 secretDEEPSEEK_API_KEY"env": { "": "sk-xxx" }
configST_LLM_SELECTOR├── ← 0/1/2/3
🔐 secretDASHSCOPE_API_KEY└── ← 模型2 API Key（双模型模式需要）
configST_LLM_API_BASE├── ← API 端点
configST_LLM_MODEL├── ← 模型1 名称
configST_LLM_TIMEOUT
configST_LLM2_API_BASE
configST_LLM2_MODEL├── ← 模型2 名称
configST_MOA_ROUNDS├── ← 1~20
configST_LLM_MODE├── ← self-moa / iterative
configST_TRANSPORT传输模式 streamable-http
configST_HOST├── / ST_PORT ← 监听地址和端口
configST_PORT├── ST_HOST / ← 监听地址和端口
configST_DB_PATH└── ← SQLite 数据库路径
// 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

26/26 tools missing one or more hints — export_session (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); list_sessions (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); search_sessions (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +23 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

Only 2/26 tool handlers wrap calls in try/catch (8%)

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/lsekit/sequentialthinking)](https://m8ven.ai/mcp/lsekit/sequentialthinking)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: 625d15df0d6a66af47c6e222137c88974b2bd16a
code hash: fc5b8c2158c311a06b5c32569405791cbc5801d035c721f26b85684c39347892
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