Skip to main content
Glama
mnbro

outline-wiki-mcp

by mnbro

outline-wiki-mcp

Outline Wiki를 위한 안전하고 제어 평면을 인식하는 MCP 서버 부트스트랩입니다.

현재 상태: 구현 시작 단계입니다. 이 저장소는 프로덕션 준비 상태, W3/W4/W5 워크플로우 성숙도 또는 C5 준수를 보장하지 않습니다.

범위

TASK-001은 프로젝트 스켈레톤과 초기 진단 인터페이스를 구현합니다:

  • outline_validate_connection

  • outline_capability_report

  • outline_diagnostics

전체 Outline API 커버리지, 업로드, 의미론적 검색 및 문서 간 분석은 이 작업에서 의도적으로 구현되지 않았습니다.

Related MCP server: Linux MCP Server

구성

OUTLINE_BASE_URL=https://outline.example.com
OUTLINE_API_TOKEN=...
OUTLINE_MCP_MODE=agentic
OUTLINE_READ_ONLY=true

안전한 기본값:

  • 에이전트 모드가 기본값입니다.

  • 읽기 전용 모드가 기본값입니다.

  • 진단 및 오류에서 비밀 정보는 삭제됩니다.

  • 콘텐츠 도구가 추가될 때 Outline 콘텐츠는 신뢰할 수 없는 데이터로 취급됩니다.

MCP 클라이언트

{
  "mcpServers": {
    "outline-wiki-mcp": {
      "command": "uv",
      "args": ["run", "outline-wiki-mcp"],
      "env": {
        "OUTLINE_BASE_URL": "https://outline.example.com",
        "OUTLINE_API_TOKEN": "..."
      }
    }
  }
}

개발

uv lock
uv run ruff check .
uv run pytest
uv run python -m mypy src tests
uv build
uv pip check
uv run mkdocs build --strict

라이선스

이 프로젝트는 PolyForm Internal Use License 1.0.0에 따라 라이선스가 부여됩니다.

귀하는 내부 상업적 운영을 포함한 내부 비즈니스 목적으로 소프트웨어를 사용할 수 있습니다. 별도의 상업적 라이선스가 부여되지 않는 한, 소프트웨어를 배포, 서브라이선스 부여, 양도, 재판매하거나 제3자에게 판매 또는 제공되는 맞춤형 솔루션, 호스팅 서비스, 관리형 서비스, SaaS 제품 또는 패키지 제품에 포함할 수 없습니다.

전체 법적 약관은 LICENSE 파일을 참조하십시오.

Available Tools

3 tools
outline_capability_reportA
Read-onlyIdempotent

Return v0.2 control-plane capability metadata.

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

Output Schema

ParametersJSON Schema
NameRequiredDescription

No output parameters

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, destructiveHint, idempotentHint, and openWorldHint, covering safety and behavior. The description adds only the version hint ('v0.2'), which provides minor additional context beyond the annotations.

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?

The description is a single, self-contained sentence that is front-loaded and contains no unnecessary words. It is highly concise.

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?

Given zero parameters and the presence of an output schema, the description is adequate but could be slightly more informative about what 'capability metadata' entails. It is nearly complete for a simple metadata retrieval tool.

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?

The input schema has zero parameters, so the description does not need to add parameter meaning. Baseline for 0 parameters is 4, and no further elaboration is required.

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 uses a specific verb ('Return') and resource ('control-plane capability metadata') with versioning ('v0.2'), clearly distinguishing it from siblings like outline_diagnostics and outline_validate_connection.

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 provided on when to use this tool versus alternatives. The description does not mention any context or exclusion criteria.

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

outline_diagnosticsA
Read-onlyIdempotent

Return safe runtime diagnostics without secrets.

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

Output Schema

ParametersJSON Schema
NameRequiredDescription

No output parameters

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, destructiveHint, idempotentHint, and openWorldHint. The description adds the important caveat 'without secrets', providing additional transparency beyond annotations.

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?

Single sentence, no unnecessary words, front-loaded with the core function. Every element is essential.

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

Completeness5/5

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

Given zero parameters, comprehensive annotations (readOnly, idempotent, etc.), and existence of an output schema, the description is complete. It succinctly covers the behavioral and safety aspects needed for an agent to invoke correctly.

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?

Input schema has zero parameters, so schema coverage is 100% trivially. With no parameters to describe, the description adds no param info, but per rules baseline is 4.

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 clearly states the tool returns safe runtime diagnostics without secrets. It is specific and concise, but does not differentiate from sibling tools like outline_capability_report or outline_validate_connection.

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 description implies usage for obtaining runtime diagnostics, but provides no explicit guidance on when to use this tool versus alternatives or when not to use it.

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

outline_validate_connectionA
Read-onlyIdempotent

Validate Outline token and API connectivity safely.

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

Output Schema

ParametersJSON Schema
NameRequiredDescription

No output parameters

TDQS

A4.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, and openWorldHint=true, which cover safety and idempotency. The description adds the word 'safely', but no additional behavioral traits beyond what annotations provide.

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?

The description is a single, front-loaded sentence with no wasted words. It efficiently communicates the tool's purpose.

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

Completeness5/5

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

For a simple validation tool with no parameters and an existing output schema, the description sufficiently covers what the tool does. No additional context is needed.

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?

The tool has no parameters, so the description does not need to explain parameter semantics. Baseline score of 4 is appropriate.

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 clearly states the tool validates an Outline token and API connectivity, using a specific verb and resource. It distinguishes itself from siblings like outline_capability_report and outline_diagnostics.

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 description implies this is a safe check to perform before other operations, but it does not explicitly state when to use it versus alternatives, nor does it mention exclusions. The straightforward nature of the tool makes this a minor gap.

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 observedoutline_capability_report
    • First observedoutline_diagnostics
    • First observedoutline_validate_connection

TDQS

A4.2/5.0

Scored across 3 tools

Disambiguation5/5

Each tool has a distinct purpose: capability report for metadata, diagnostics for runtime info, and connection validation. No overlap.

Naming Consistency5/5

All tools follow a consistent 'outline_X' snake_case pattern, making them predictable.

Tool Count5/5

With only 3 tools, the scope is narrow but well-defined for a health-check server; each tool is necessary.

Completeness5/5

The tool set covers all essential aspects of server capability reporting, diagnostics, and connection validation without missing operations.

Maintenance

ActivitySlowing
ResponsivenessSyncing

Related MCP Connectors

Related MCP Servers

  • A
    license
    B
    quality
    A
    maintenance
    An MCP server for read-only Linux system administration and diagnostics on RHEL-based systems via SSH. It enables users to troubleshoot remote hosts by accessing system information, services, logs, and network configurations through natural language.
    23
    910 PyPI
    316
    Apache 2.0
  • A
    license
    Not graded
    quality
    D
    maintenance
    This MCP server provides read-only Linux system diagnostics tools for inspecting system information, processes, and log snapshots. It enables AI models to analyze Linux system health, troubleshoot issues, and review security through workflow prompts and HTTP transport with API key authentication.
    MIT