Boundary MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| analyze_decisionA | 对现实问题进行结构化策略分析。 这是一个"暴露现实结构"的决策思考引擎,而不是建议生成器。 功能:
注意:本工具不会告诉你"该不该做",只会帮助你看清决策的结构和边界。 |
| get_analysis_jsonA | 获取决策分析的原始 JSON 数据结构。 与 analyze_decision 功能相同,但返回结构化的 JSON 数据而非格式化文本。 适用于需要程序化处理分析结果的场景。 |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 2 tools
The two tools are essentially identical in purpose, both performing structured decision analysis on real-world problems. The only difference is output format (formatted text vs. JSON), which is insufficient to distinguish their core functionality. An agent would likely struggle to choose between them without arbitrary preference for output type.
Both tools follow a consistent verb_noun naming pattern with clear, descriptive names. 'analyze_decision' and 'get_analysis_json' maintain the same structure and style, making them predictable and easy to understand within the set.
With only two tools that essentially duplicate functionality, the count feels too thin for a decision analysis engine. A more complete surface might include tools for different analysis phases (e.g., problem framing, constraint identification, strategy evaluation) rather than just output format variants.
The server claims to be a 'decision thinking engine' but offers only a single analysis operation in two output formats. There are obvious gaps: no tools for modifying analyses, comparing multiple decisions, tracking decision outcomes, or integrating external data—all expected in a comprehensive decision support system.