developer-tools

PulseMCP

orliesaurus

by orliesaurus

Integrate with PulseMCP to query MCP server and integration data for ecosystem analysis and expert service recommendatio

Integrates with PulseMCP to enable querying and retrieval of MCP server and integration data for ecosystem analysis and service recommendations.

github stars

28

0 commentsdiscussion

Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Full TypeScript supportPagination for large result sets

best for

  • / Developers exploring the MCP ecosystem
  • / Finding servers for specific integrations
  • / Building MCP service recommendations

capabilities

  • / List MCP servers with filtering and pagination
  • / Search servers by name or functionality
  • / Filter servers by integration types
  • / Browse all available integrations

what it does

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.

about

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.

how to install

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.

license

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.

readme

PulseMCP Server

A Model Context Protocol (MCP) server that provides tools for discovering and exploring MCP servers and integrations through the PulseMCP API.

Features

  • List available MCP servers with filtering and pagination
  • Search for specific MCP servers by name or functionality
  • Filter servers by integration types
  • List all available integrations
  • Full TypeScript support

Installation

Installing in MCP Clients

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"]
    }
  }
}
  1. Clone the repository:
git clone <repository-url>
cd pulsemcp-server
  1. Install dependencies:
npm install
  1. Build the project:
npm run build

Usage

Running the Server

The server can be run directly after building:

./build/index.js

Or through npm:

npm start

Development

To watch for changes during development:

npm run watch

To inspect the server's MCP implementation:

npm run inspector

Available Tools

list_servers

Lists MCP servers with optional filtering and pagination.

Parameters:

  • query (optional): Search term to filter servers
  • integrations (optional): Array of integration slugs to filter by
  • count_per_page (optional): Number of results per page (maximum: 5000)
  • offset (optional): Number of results to skip for pagination

Example:

{
  "query": "toolhouse",
  "integrations": ["github"],
  "count_per_page": 10,
  "offset": 0
}

list_integrations

Lists all available integrations. This tool takes no parameters.

Response Format

Both tools return JSON responses with the following structure:

list_servers Response

{
  "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 Response

{
  "integrations": [
    {
      "name": "Integration Name",
      "slug": "integration-slug",
      "url": "https://integration-url.com"
    }
  ]
}

Error Handling

The server includes robust error handling for:

  • Invalid parameters
  • API connection issues
  • Rate limiting
  • Authentication errors

Errors are returned in a standardized format with appropriate error codes and messages.

Development

Project Structure

pulsemcp-server/
├── src/
│   └── index.ts    # Main server implementation
├── build/          # Compiled JavaScript
├── package.json    # Project configuration
└── tsconfig.json   # TypeScript configuration

Dependencies

  • @modelcontextprotocol/sdk: ^0.6.0
  • axios: ^1.7.9
  • TypeScript: ^5.3.3

License

Read LICENSE.MD

Contributing

Open a PR - be nice and you will be rewarded!

FAQ

What is the PulseMCP MCP server?
PulseMCP is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for PulseMCP?
This profile displays 60 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

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

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

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

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ 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.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.760 reviews
  • Ganesh Mohane· Dec 28, 2024

    Strong directory entry: PulseMCP surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Anaya Johnson· Dec 28, 2024

    I recommend PulseMCP for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Valentina Choi· Dec 24, 2024

    We evaluated PulseMCP against two servers with overlapping tools; this profile had the clearer scope statement.

  • William Yang· Dec 20, 2024

    PulseMCP is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Kwame Lopez· Dec 8, 2024

    PulseMCP has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Advait Park· Nov 27, 2024

    Strong directory entry: PulseMCP surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Naina Bhatia· Nov 23, 2024

    We wired PulseMCP into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Rahul Santra· Nov 19, 2024

    PulseMCP has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Naina Gill· Nov 19, 2024

    According to our notes, PulseMCP benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Fatima Jain· Nov 15, 2024

    Useful MCP listing: PulseMCP is the kind of server we cite when onboarding engineers to host + tool permissions.

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