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orliesaurus

PulseMCP Server

by orliesaurus
OverviewSchemaRelated ServersScoreDiscussions
JavaScript
Hybrid

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

Related MCP server: Notes MCP Server

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!

Available Tools

2 tools
list_integrationsB

List all available integrations

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

TDQS

B3.2/5.0
Behavior2/5

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.

Conciseness5/5

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.

Completeness3/5

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.

Parameters4/5

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.

Purpose4/5

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.

Usage Guidelines2/5

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

ParametersJSON Schema
NameRequiredDescriptionDefault
queryNoSearch term to filter servers
integrationsNoFilter by integration slugs
count_per_pageNoNumber of results per page (maximum: 5000)
offsetNoNumber of results to skip for pagination

TDQS

C2.9/5.0
Behavior2/5

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.

Conciseness5/5

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.

Completeness2/5

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.

Parameters3/5

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.

Purpose4/5

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.

Usage Guidelines2/5

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. Dates show when Glama detected each change.

  1. 2 tool updates
    • First observedlist_integrations
    • First observedlist_servers
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TDQS

B3.1/5.0
Disambiguation5/5

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.

Naming Consistency5/5

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.

Tool Count2/5

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.

Completeness2/5

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.

Maintenance

ActivityInactive
ResponsivenessUnresponsive

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

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