PulseMCP Server
PulseMCP 서버
PulseMCP API를 통해 MCP 서버와 통합을 검색하고 탐색하기 위한 도구를 제공하는 MCP(Model Context Protocol) 서버입니다.
특징
필터링 및 페이지 매김을 통해 사용 가능한 MCP 서버 나열
이름이나 기능으로 특정 MCP 서버 검색
통합 유형별로 서버 필터링
사용 가능한 모든 통합을 나열합니다
전체 TypeScript 지원
Related MCP server: Notes MCP Server
설치
MCP 클라이언트에 설치
MCP 클라이언트 구성에 이 내용을 추가하고 클라이언트의 선호도에 맞게 조정하세요. 예:
지엑스피1
저장소를 복제합니다.
git clone <repository-url>
cd pulsemcp-server종속성 설치:
npm install프로젝트를 빌드하세요:
npm run build용법
서버 실행
서버를 빌드한 후 바로 실행할 수 있습니다.
./build/index.js또는 npm을 통해서:
npm start개발
개발 중 변화를 살펴보려면:
npm run watch서버의 MCP 구현을 검사하려면:
npm run inspector사용 가능한 도구
서버 목록
선택적 필터링 및 페이지 매김 기능을 갖춘 MCP 서버를 나열합니다.
매개변수:
query(선택 사항): 서버를 필터링할 검색어integrations(선택 사항): 필터링할 통합 슬러그 배열count_per_page(선택 사항): 페이지당 결과 수(최대: 5000)offset(선택 사항): 페이지 매김을 위해 건너뛸 결과 수
예:
{
"query": "toolhouse",
"integrations": ["github"],
"count_per_page": 10,
"offset": 0
}목록_통합
사용 가능한 모든 통합을 나열합니다. 이 도구는 매개변수를 사용하지 않습니다.
응답 형식
두 도구 모두 다음 구조의 JSON 응답을 반환합니다.
list_servers 응답
{
"servers": [
{
"name": "Server Name",
"url": "https://example.com",
"external_url": "https://external-link.com",
"short_description": "Server description",
"source_code_url": "https://github.com/example/repo",
"github_stars": 123,
"package_registry": "npm",
"package_name": "package-name",
"package_download_count": 1000,
"integrations": [
{
"name": "Integration Name",
"slug": "integration-slug",
"url": "https://integration-url.com"
}
]
}
],
"total_count": 1,
"next": null
}list_integrations 응답
{
"integrations": [
{
"name": "Integration Name",
"slug": "integration-slug",
"url": "https://integration-url.com"
}
]
}오류 처리
서버에는 다음에 대한 강력한 오류 처리 기능이 포함되어 있습니다.
잘못된 매개변수
API 연결 문제
속도 제한
인증 오류
오류는 적절한 오류 코드와 메시지와 함께 표준화된 형식으로 반환됩니다.
개발
프로젝트 구조
pulsemcp-server/
├── src/
│ └── index.ts # Main server implementation
├── build/ # Compiled JavaScript
├── package.json # Project configuration
└── tsconfig.json # TypeScript configuration종속성
@modelcontextprotocol/sdk: ^0.6.0
악시오스: ^1.7.9
타입스크립트: ^5.3.3
특허
LICENSE.MD를 읽어보세요
기여하다
PR을 개설하세요 - 친절하게 대하면 보상을 받을 것입니다!
Available Tools
2 toolslist_integrationsB
List all available integrations
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden for behavioral disclosure. 'List all available integrations' implies a read operation but doesn't specify whether this requires authentication, has rate limits, returns paginated results, or what format the output takes. For a tool with zero annotation coverage, this is insufficient behavioral context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that states exactly what the tool does with zero wasted words. It's appropriately sized for a simple list operation and front-loads the essential information without unnecessary elaboration.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter list tool with no output schema, the description provides the minimum viable information about what the tool does. However, it lacks important context about authentication requirements, rate limits, pagination behavior, and output format that would help an agent use it correctly. The absence of annotations increases the need for descriptive completeness.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has 0 parameters with 100% schema description coverage, so the schema already fully documents the parameter situation. The description doesn't need to add parameter information, and the baseline for this scenario is 4. The description appropriately focuses on the tool's purpose rather than redundant parameter details.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb ('List') and resource ('all available integrations'), making the purpose understandable. However, it doesn't differentiate from the sibling tool 'list_servers' - both are list operations but for different resources, so the distinction is implicit rather than explicit.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. There's no mention of prerequisites, timing considerations, or comparison to the sibling 'list_servers' tool. The agent must infer usage context from the tool name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_serversC
List MCP servers with optional filtering
| Name | Required | Description | Default |
|---|---|---|---|
| query | No | Search term to filter servers | |
| integrations | No | Filter by integration slugs | |
| count_per_page | No | Number of results per page (maximum: 5000) | |
| offset | No | Number of results to skip for pagination |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. While 'List' implies a read operation, it doesn't specify whether this requires authentication, what format the results come in, whether there are rate limits, or how pagination works beyond the offset parameter. The description adds minimal behavioral context beyond the basic action.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise - a single sentence that communicates the core functionality without any wasted words. It's front-loaded with the main purpose and efficiently mentions the filtering capability.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a list tool with 4 parameters and no output schema, the description is insufficient. It doesn't explain what information is returned about servers, how results are structured, or provide any context about what 'MCP servers' are in this system. With no annotations and no output schema, more descriptive context would be helpful.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 100% description coverage, so all parameters are documented in the schema itself. The description adds no specific parameter semantics beyond mentioning 'optional filtering' which is already implied by the schema. This meets the baseline for high schema coverage where the description doesn't need to compensate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('List') and resource ('MCP servers'), making the tool's purpose immediately understandable. However, it doesn't differentiate from the sibling 'list_integrations' tool, which would require mentioning what distinguishes listing servers from listing integrations.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description mentions 'optional filtering' which implies some usage context, but provides no explicit guidance on when to use this tool versus alternatives like 'list_integrations' or how to decide between filtering methods. No when-not-to-use scenarios or prerequisites are mentioned.
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.
2 tool updates
- First observed
list_integrations - First observed
list_servers
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: list_integrations targets integrations, while list_servers targets MCP servers. There is no overlap in functionality or ambiguity between them, making it easy for an agent to select the correct tool based on the desired resource.
Both tools follow a consistent verb_noun pattern with 'list_' as the prefix, using snake_case throughout. This predictability enhances readability and reduces cognitive load for agents when scanning the tool set.
With only 2 tools, the server feels under-scoped for a PulseMCP Server, which might imply broader functionality. While the tools are clear, the count is too low to cover a comprehensive domain, potentially limiting agent capabilities without additional context.
The tool set is severely incomplete for a server likely intended to manage integrations and servers. There are no CRUD operations (e.g., create, update, delete) or detailed actions (e.g., get specific integration/server), leaving significant gaps that could cause agent failures in handling lifecycle tasks.
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