MCP server
by orliesaurus
Integrate with PulseMCP to query MCP server and integration data for ecosystem analysis and expert service recommendatio
Provides tools to discover and explore MCP servers and integrations through the PulseMCP API. Helps you find relevant MCP servers for your projects by searching and filtering the ecosystem.
PulseMCP is a community-built MCP server published by orliesaurus that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate with PulseMCP to query MCP server and integration data for ecosystem analysis and expert service recommendatio It is categorized under developer tools. This server exposes 2 tools that AI clients can invoke during conversations and coding sessions.
You can install PulseMCP in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport. This server supports remote connections over HTTP, so no local installation is required.
MIT
PulseMCP is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
Strong directory entry: PulseMCP surfaces stars and publisher context so we could sanity-check maintenance before adopting.
I recommend PulseMCP for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
We evaluated PulseMCP against two servers with overlapping tools; this profile had the clearer scope statement.
PulseMCP is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
PulseMCP has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Strong directory entry: PulseMCP surfaces stars and publisher context so we could sanity-check maintenance before adopting.
We wired PulseMCP into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
PulseMCP has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
According to our notes, PulseMCP benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Useful MCP listing: PulseMCP is the kind of server we cite when onboarding engineers to host + tool permissions.
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A Model Context Protocol (MCP) server that provides tools for discovering and exploring MCP servers and integrations through the PulseMCP API.
Add this to your MCP client configuration and adapt based on your Client's preferences. For example:
{
"mcpServers": {
"pulsemcp": {
"command": "npx",
"args": ["-y", "pulsemcp-server"]
}
}
}
git clone <repository-url>
cd pulsemcp-server
npm install
npm run build
The server can be run directly after building:
./build/index.js
Or through npm:
npm start
To watch for changes during development:
npm run watch
To inspect the server's MCP implementation:
npm run inspector
Lists MCP servers with optional filtering and pagination.
Parameters:
query (optional): Search term to filter serversintegrations (optional): Array of integration slugs to filter bycount_per_page (optional): Number of results per page (maximum: 5000)offset (optional): Number of results to skip for paginationExample:
{
"query": "toolhouse",
"integrations": ["github"],
"count_per_page": 10,
"offset": 0
}
Lists all available integrations. This tool takes no parameters.
Both tools return JSON responses with the following structure:
{
"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
}
{
"integrations": [
{
"name": "Integration Name",
"slug": "integration-slug",
"url": "https://integration-url.com"
}
]
}
The server includes robust error handling for:
Errors are returned in a standardized format with appropriate error codes and messages.
pulsemcp-server/
├── src/
│ └── index.ts # Main server implementation
├── build/ # Compiled JavaScript
├── package.json # Project configuration
└── tsconfig.json # TypeScript configuration
Read LICENSE.MD
Open a PR - be nice and you will be rewarded!
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.