pulse-fetch

{
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-09-29/server.schema.json",
  "name": "com.pulsemcp/pulse-fetch",
  "description": "MCP server for fetching web resources with content extraction and anti-bot bypass.",
  "repository": {
    "url": "https://github.com/pulsemcp/mcp-servers",
    "source": "github",
    "subfolder": "productionized/pulse-fetch"
  },
  "version": "0.3.3",
  "packages": [
    {
      "registryType": "npm",
      "registryBaseUrl": "https://registry.npmjs.org",
      "identifier": "@pulsemcp/pulse-fetch",
      "version": "0.3.3",
      "runtimeHint": "npx",
      "transport": {
        "type": "stdio"
      },
      "runtimeArguments": [
        {
          "value": "-y",
          "type": "positional"
        }
      ],
      "environmentVariables": [
        {
          "description": "API key for Firecrawl service to bypass anti-bot measures.",
          "isSecret": true,
          "name": "FIRECRAWL_API_KEY"
        },
        {
          "description": "Bearer token for BrightData Web Unlocker service.",
          "isSecret": true,
          "name": "BRIGHTDATA_API_KEY"
        },
        {
          "description": "Path to markdown file containing scraping strategy configuration.",
          "name": "STRATEGY_CONFIG_PATH"
        },
        {
          "description": "Optimization strategy for scraping: cost or speed.",
          "default": "cost",
          "name": "OPTIMIZE_FOR"
        },
        {
          "description": "Storage backend for saved resources: memory or filesystem.",
          "default": "memory",
          "name": "MCP_RESOURCE_STORAGE"
        },
        {
          "description": "Directory for filesystem storage of resources.",
          "default": "/tmp/pulse-fetch/resources",
          "name": "MCP_RESOURCE_FILESYSTEM_ROOT"
        },
        {
          "description": "Skip API authentication health checks at startup.",
          "default": "false",
          "name": "SKIP_HEALTH_CHECKS"
        },
        {
          "description": "LLM provider for extraction: anthropic, openai, or openai-compatible.",
          "name": "LLM_PROVIDER"
        },
        {
          "description": "API key for the chosen LLM provider.",
          "isSecret": true,
          "name": "LLM_API_KEY"
        },
        {
          "description": "Base URL for OpenAI-compatible LLM providers.",
          "name": "LLM_API_BASE_URL"
        },
        {
          "description": "Specific LLM model to use for extraction.",
          "name": "LLM_MODEL"
        }
      ]
    }
  ]
}