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Steel Brain

AI 에이전트에게 철강 도메인 지식을 제공하는 MCP 서버 — 강종 특성, 대체 판정, 밀 인증서 안내를 에이전트가 호출할 수 있는 MCP 도구로 제공합니다.

https://api.steelbrain.dev에서 REST API로도 이용할 수 있습니다.


MCP 서버

Steel Brain은 Model Context Protocol 서버입니다. stdio 전송을 통해 세 가지 MCP 도구를 제공합니다:

MCP 도구

기능

grade_lookup

강종에 대한 특성, 화학 성분, 제품 형태, 용도, 용접성. 별칭(alias) 해석 지원 (4140 = 42CrMo4 = SCM440; S355 = ST52).

substitution_check

from_grade, to_grade, application을 입력받아 한 강종이 다른 강종을 대체할 수 있는지에 대한 판정(valid / conditional / invalid)과 근거를 반환합니다.

cert_guide

강종 + 사용 사례에 적용되는 밀 인증서(EN 10204 3.1/3.2, 선급 인증서 ABS/DNV/LR/BV/NK)와 확인해야 할 사항을 안내합니다.

MCP 서버 실행하기

pip install -r requirements.txt
python -m steel_brain.mcp_server

stdio 전송으로 MCP 서버를 시작하며, 모든 MCP 클라이언트(Claude Desktop, Claude Code 또는 MCP 호환 에이전트)에서 사용할 수 있습니다.

MCP 클라이언트 설정 예시

{
  "mcpServers": {
    "steel-brain": {
      "command": "python",
      "args": ["-m", "steel_brain.mcp_server"]
    }
  }
}

공식 MCP SDK(mcp 패키지)로 구축되었으며, 표준 MCP 도구 인터페이스를 통해 세 가지 도구를 등록합니다.


Related MCP server: simpson-strong-agent

왜 Steel Brain인가

LLM은 철강에 대해 추측합니다. 4140 어닐링(annealed) 상태가 4140 프리하든(pre-hardened) 상태를 대신할 수 있다고 말해 작업물을 스크랩 처리하기도 합니다. Steel Brain은 현업 철강 트레이더가 구축하고 사람이 검증한 지식 베이스에서 답하며, 자신 있는 추측 대신 정직하게 "not in knowledge base"를 반환합니다.

가장 가치 있는 부분은 대체(substitution) 및 인증(cert) 로직입니다:

  • 4140RB → 4140QT (어닐링 vs 프리하든): invalid, 동일 합금, 반대 열처리

  • 316L → 304L, 해양 용도: invalid, 다른 내식 등급

  • EH36 → S355, 구조용: 한 방향은 valid, 반대 방향은 conditional

  • 압력 용도의 Seamless vs ERW: 절대 상호 대체 불가

적용 범위

탄소강, 합금강, 스테인리스강의 23개 강종. 환봉, 중공봉, 강판, 파이프. 대체 규칙 39개, 인증서 가이드 4개.

REST API (MCP 대안)

동일한 지식을 REST로 제공합니다: https://api.steelbrain.dev

curl "https://api.steelbrain.dev/v1/grade/4140QT" -H "X-API-Key: YOUR_KEY"
curl "https://api.steelbrain.dev/v1/substitution?from_grade=316L&to_grade=304L&application=machined" -H "X-API-Key: YOUR_KEY"

출시 시점에는 무료 티어를 제공합니다. 문의: dryow.jt@gmail.com

정직한 설계

  • 강종 특성: 공표된 표준(ASTM/EN/JIS/API/ABS)의 범위이며, 그렇게 표시되어 있습니다.

  • 대체 + 인증 로직: 실거래로 검증된, 날짜가 기재된 현업 트레이더의 판정입니다.

  • 알 수 없는 강종: 정직하게 "not in knowledge base"로 답하며, 절대 지어내지 않습니다.

개발

python -m pytest tests/    # 15 tests (10 acceptance + 5 domain-safety guards)

라이선스

코드: MIT(LICENSE 참조). 지식 베이스(kb/): 독점(NOTICE 참조).

Available Tools

3 tools
cert_guideAInspect

Which mill cert type applies for a grade + use case (e.g. EH36 shipbuilding), and what fields to check on the cert.

NameRequiredDescriptionDefault
gradeYes
use_caseYes

TDQS

A3.5/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the transparency burden. It indicates the tool is an informational guide producing a certificate type and fields to check, implying a non-mutating lookup. It does not disclose limitations, source standards, or output details beyond that high-level outcome.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

One sentence, with the core question front-loaded and a concrete example embedded. Every clause contributes: the inputs, the decision being made, and the output. No filler or redundant restatement of the tool name.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a two-parameter lookup, this is minimally complete: it states inputs, the decision, and the returned guidance. However, with no output schema and no annotation safety profile, it would benefit from a bit more detail about what exact fields are returned and how it relates to grade_lookup and substitution_check.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description must add meaning. It clarifies that grade and use_case are the inputs determining the result and gives EH36 + shipbuilding as a concrete example. It does not enumerate accepted formats or possible use cases, but the parameter names plus example are enough for basic usage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific purpose: determining which mill cert type applies for a grade and use case, plus which fields to inspect on the cert. The EH36 shipbuilding example makes the query concrete. It is implicitly distinct from the sibling tools grade_lookup and substitution_check because it centers on certificate type selection, though it never names them explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The wording implies usage: call this when you have a grade and use case and need the applicable certificate type and fields to check. However, it provides no explicit when-to-use guidance versus grade_lookup or substitution_check, and no exclusions or alternative routing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

grade_lookupAInspect

Look up a steel grade: properties, chemistry, forms, applications, weldability. Aliases accepted (e.g. 4140 = 42CrMo4 = SCM440).

NameRequiredDescriptionDefault
gradeYes

TDQS

A3.5/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden. It does disclose useful behavior: aliases are accepted and it returns multiple categories of grade information. However, it does not mention output format, error behavior, or whether results are normalized beyond the alias examples.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences with no filler: the first states the action and output scope, the second explains alias handling with a concrete example. Every part earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter lookup with no output schema, the description covers the purpose, input semantics, and output categories well. It lacks explicit sibling differentiation and return-structure details, but these are partly covered by the simple nature of the tool and the other dimensions.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It does by clarifying that the grade parameter refers to a steel grade and by giving concrete alias equivalents (4140 = 42CrMo4 = SCM440), which adds real meaning beyond the bare schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Look up') with a clear resource ('a steel grade') and enumerates the return categories: properties, chemistry, forms, applications, weldability. It is clear but does not explicitly differentiate from sibling tools like substitution_check or cert_guide.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given about when to use grade_lookup versus the sibling tools substitution_check or cert_guide. The alias behavior is useful, but the description does not state exclusions, prerequisites, or alternative routing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

substitution_checkAInspect

Check if one steel grade can substitute another for a given application (machined / welded-structural / pressure). Returns verdict + reasoning from verified trade rules.

NameRequiredDescriptionDefault
to_gradeYes
from_gradeYes
applicationYes

TDQS

A4/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the burden and does disclose useful behavioral detail: it returns a 'verdict + reasoning' and cites 'verified trade rules' as the source. However, it does not address limitations, error cases, or whether the operation is purely read-only.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single sentence that front-loads the operation, scopes the application, and summarizes the return value. Every clause is informative and there is no filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple three-string-parameter tool with no output schema, the description covers the operation, the main input dimension, and the return shape. It could be more complete by defining the possible verdict values, but nothing essential for a first correct call is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Since schema description coverage is 0%, the description must compensate. It adds meaning for 'application' by listing plausible values, and the directional roles of from_grade/to_grade are understandable from the description. It does not specify acceptable grade formats or exact string requirements, so the compensation is only partial.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb and resource: 'check if one steel grade can substitute another.' It further scopes the operation by application and distinguishes it from siblings like grade_lookup and cert_guide by its substitution-specific function.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'for a given application' with the enumerated categories (machined / welded-structural / pressure) gives clear context for when the tool is appropriate. It does not explicitly state when to use a sibling instead, but the substitution purpose is sufficiently distinct.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 3 tool updatesv0.1.0
    • First observedcert_guide
    • First observedgrade_lookup
    • First observedsubstitution_check

TDQS

A3.8/5.0

Scored across 3 tools

Disambiguation5/5

Each tool addresses a distinct task: looking up material properties, checking substitution compatibility, and guiding certificate selection. There is no functional overlap between them.

Naming Consistency4/5

Tool names follow a clear two-part lowercase_with_underscore pattern (grade_lookup, substitution_check, cert_guide). The first two use a noun-verb structure, while cert_guide uses noun-noun, creating a minor inconsistency but still predictable.

Tool Count4/5

Three tools is slightly on the low side but appropriate for a focused, niche domain. The set covers the main steel-grade queries without unnecessary redundancy.

Completeness4/5

The surface covers lookup, substitution reasoning, and certification guidance, forming a coherent workflow. Minor gaps exist, such as no direct comparison tool or grade listing, but these are not critical for the stated purpose.

Maintenance

ActivitySlowing
ResponsivenessNo recent community issues

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