com.pulsemcp/pulse-fetch
MCP server for fetching web resources with content extraction and anti-bot bypass.
Verdict not yet evaluated for this tool. The hybrid eval runs adversarial cases first; coverage rolls out as the corpus expands. Until a verdict is recorded, an agent should treat this tool as not-yet-cleared and fall back to its own checks. Method: hybrid eval, four-state verdict, honest limits.
{
"mcpServers": {
"pulse-fetch": {
"command": "npx",
"args": [
"-y",
"@pulsemcp/pulse-fetch"
],
"env": {
"FIRECRAWL_API_KEY": "<your-firecrawl_api_key>",
"BRIGHTDATA_API_KEY": "<your-brightdata_api_key>",
"STRATEGY_CONFIG_PATH": "<strategy_config_path>",
"OPTIMIZE_FOR": "cost",
"MCP_RESOURCE_STORAGE": "memory",
"MCP_RESOURCE_FILESYSTEM_ROOT": "/tmp/pulse-fetch/resources",
"SKIP_HEALTH_CHECKS": "false",
"LLM_PROVIDER": "<llm_provider>",
"LLM_API_KEY": "<your-llm_api_key>",
"LLM_API_BASE_URL": "<llm_api_base_url>",
"LLM_MODEL": "<llm_model>"
}
}
}
}{
"mcpServers": {
"pulse-fetch": {
"command": "npx",
"args": [
"-y",
"@pulsemcp/pulse-fetch"
],
"env": {
"FIRECRAWL_API_KEY": "<your-firecrawl_api_key>",
"BRIGHTDATA_API_KEY": "<your-brightdata_api_key>",
"STRATEGY_CONFIG_PATH": "<strategy_config_path>",
"OPTIMIZE_FOR": "cost",
"MCP_RESOURCE_STORAGE": "memory",
"MCP_RESOURCE_FILESYSTEM_ROOT": "/tmp/pulse-fetch/resources",
"SKIP_HEALTH_CHECKS": "false",
"LLM_PROVIDER": "<llm_provider>",
"LLM_API_KEY": "<your-llm_api_key>",
"LLM_API_BASE_URL": "<llm_api_base_url>",
"LLM_MODEL": "<llm_model>"
}
}
}
}npx -y @pulsemcp/pulse-fetchFIRECRAWL_API_KEYAPI key for Firecrawl service to bypass anti-bot measures.
BRIGHTDATA_API_KEYBearer token for BrightData Web Unlocker service.
STRATEGY_CONFIG_PATHPath to markdown file containing scraping strategy configuration.
OPTIMIZE_FOROptimization strategy for scraping: cost or speed.
MCP_RESOURCE_STORAGEStorage backend for saved resources: memory or filesystem.
MCP_RESOURCE_FILESYSTEM_ROOTDirectory for filesystem storage of resources.
SKIP_HEALTH_CHECKSSkip API authentication health checks at startup.
LLM_PROVIDERLLM provider for extraction: anthropic, openai, or openai-compatible.
LLM_API_KEYAPI key for the chosen LLM provider.
LLM_API_BASE_URLBase URL for OpenAI-compatible LLM providers.
LLM_MODELSpecific LLM model to use for extraction.
AI-powered trading strategy development: backtesting, market data, and portfolio analysis
Feature flagging and A/B testing platform with AI-first experimentation workflows.
Query Meta Ads performance data — accounts, campaigns, ad sets, ads, metrics & settings.