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agentset-ai

Agentset

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에이전트셋 MCP

검색 증강 생성(RAG)을 위한 오픈소스 플랫폼인 Agentset용 MCP 서버입니다. 지능형 문서 기반 애플리케이션을 빠르고 효율적으로 구축하려는 개발자를 위해 설계되었습니다.

npm 버전 특허 빌드 상태 다운로드 크기

설치

npm을 사용하여:

지엑스피1

실을 사용하여:

AGENTSET_API_KEY=your-api-key yarn dlx @agentset/mcp --ns your-namespace-id

pnpm 사용:

AGENTSET_API_KEY=your-api-key pnpm dlx @agentset/mcp --ns your-namespace-id

Related MCP server: MCP-RAGNAR

클로드에 추가

{
  "mcpServers": {
    "agentset": {
      "command": "npx",
      "args": ["-y", "@agentset/mcp@latest"],
      "env": {
        "AGENTSET_API_KEY": "agentset_xxx",
        "AGENTSET_NAMESPACE_ID": "ns_xxx"
      }
    }
  }
}

팁

네임스페이스 ID를 환경 변수로 전달

AGENTSET_API_KEY=your-api-key AGENTSET_NAMESPACE_ID=your-namespace-id npx @agentset/mcp

사용자 정의 도구 설명 전달

AGENTSET_API_KEY=your-api-key npx @agentset/mcp --ns your-namespace-id -d "Your custom tool description"

세입자 ID 전달:

AGENTSET_API_KEY=your-api-key npx @agentset/mcp --ns your-namespace-id -t your-tenant-id

API 참조

자세한 내용은 전체 문서를 참조하세요.

Available Tools

1 tool
knowledge-base-retrieveA

Look up information in the Knowledge Base. Use this tool when you need to:

  • Find relevant documents or information on specific topics

  • Retrieve company policies, procedures, or guidelines

  • Access product specifications or technical documentation

  • Get contextual information to answer company-specific questions

  • Find historical data or information about projects

ParametersJSON Schema
NameRequiredDescriptionDefault
queryYesThe query to search for data in the Knowledge Base
topKNoThe maximum number of results to return. Defaults to 10.
rerankNoWhether to rerank the results based on relevance. Defaults to true.

TDQS

A3.6/5.0
Behavior2/5

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

No annotations are provided, so the description fully carries the burden of disclosing behavior. It only describes basic functionality without addressing side effects (none expected but not stated), read-only nature, error handling, or performance characteristics. For a retrieval tool, the description should at least imply idempotency or lack of mutations.

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

Conciseness4/5

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

The description is concise and efficiently uses a bulleted list for clarity. The opening sentence is slightly generic, but overall it is well-structured and not verbose. Every line adds value.

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?

The description covers common use cases but lacks information about the return format (no output schema) and potential errors. For a simple retrieval tool, it is partially complete, but missing output schema details and edge case handling reduces completeness.

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 100%, so baseline is 3. The description adds no additional detail beyond the schema's parameter descriptions. It does not explain the implications of rerank or topK further, nor does it provide usage examples for parameters.

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's purpose: 'Look up information in the Knowledge Base.' It provides a specific verb ('retrieve') and resource ('Knowledge Base'), and lists concrete use cases like finding documents, policies, and product specs. Since there are no sibling tools, no differentiation is needed.

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 explicitly instructs when to use the tool via a bulleted list of scenarios (e.g., 'Find relevant documents,' 'Access product specifications'). It provides clear context but does not mention when not to use it or alternatives, which is less critical given no sibling tools.

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. 1 tool updatev1.0.0
    • First observedknowledge-base-retrieve
Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A3.7/5.0

Scored across 1 tool

Disambiguation5/5

There is only one tool, so there is no possibility of confusion or overlap. The tool's purpose is clearly defined as knowledge base retrieval, making selection unambiguous.

Naming Consistency5/5

With a single tool named knowledge-base-retrieve, there is no inconsistent naming pattern. The name is descriptive and predictable, though hyphenated rather than snake_case or camelCase.

Tool Count3/5

One tool is borderline: it is sufficient for a simple read-only knowledge base retrieval service, but the 'Agentset' server name suggests a broader scope that is not reflected by a single tool.

Completeness3/5

The tool covers retrieval well, but there are no create, update, delete, or list operations. For a purely read-only knowledge base this may be sufficient, but for a general knowledge base or an agent set, the surface is incomplete.

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources

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