PulseMCP Server
PulseMCPサーバー
PulseMCP API を通じて MCP サーバーと統合を検出および探索するためのツールを提供するモデル コンテキスト プロトコル (MCP) サーバー。
特徴
フィルタリングとページ区切りを使用して利用可能な MCP サーバーを一覧表示します
名前または機能で特定の MCP サーバーを検索します
統合タイプでサーバーをフィルタリング
利用可能なすべての統合を一覧表示する
完全なTypeScriptサポート
Related MCP server: Notes MCP Server
インストール
MCPクライアントへのインストール
これをMCPクライアント設定に追加し、クライアントの好みに合わせて調整してください。例:
{
"mcpServers": {
"pulsemcp": {
"command": "npx",
"args": ["-y", "pulsemcp-server"]
}
}
}リポジトリをクローンします。
git clone <repository-url>
cd pulsemcp-server依存関係をインストールします:
npm installプロジェクトをビルドします。
npm run build使用法
サーバーの実行
サーバーはビルド後すぐに実行できます。
./build/index.jsまたは npm 経由:
npm start発達
開発中の変更を監視するには:
npm run watchサーバーの MCP 実装を検査するには:
npm run inspector利用可能なツール
サーバー一覧
オプションのフィルタリングとページ区切りを使用して MCP サーバーを一覧表示します。
パラメータ:
query(オプション): サーバーをフィルタリングするための検索語integrations(オプション):フィルタリングする統合スラッグの配列count_per_page(オプション): ページあたりの結果数(最大:5000)offset(オプション): ページ区切りでスキップする結果の数
例:
{
"query": "toolhouse",
"integrations": ["github"],
"count_per_page": 10,
"offset": 0
}リスト統合
利用可能なすべての統合を一覧表示します。このツールはパラメータを必要としません。
応答フォーマット
どちらのツールも、次の構造の JSON 応答を返します。
list_servers レスポンス
{
"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 レスポンス
{
"integrations": [
{
"name": "Integration Name",
"slug": "integration-slug",
"url": "https://integration-url.com"
}
]
}エラー処理
サーバーには、次の堅牢なエラー処理機能が含まれています。
無効なパラメータ
API接続の問題
レート制限
認証エラー
エラーは、適切なエラー コードとメッセージを含む標準化された形式で返されます。
発達
プロジェクト構造
pulsemcp-server/
├── src/
│ └── index.ts # Main server implementation
├── build/ # Compiled JavaScript
├── package.json # Project configuration
└── tsconfig.json # TypeScript configuration依存関係
@modelcontextprotocol/sdk: ^0.6.0
アクシオス: ^1.7.9
タイプスクリプト: ^5.3.3
ライセンス
LICENSE.MDを読む
貢献
PR を開いてください - 親切にしていただければ報酬が与えられます!
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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