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yultrace-bounty-feed

Bounty-feed search 386 rows across 9 sources (Bountycaster/Dework/Sherlock/Algora/GitHub/Reddit).

RUN IN TERMINAL
# See repository for install instructions
ADD TO claude_desktop_config.json
{ "mcpServers": { "comtrycloudflareurgent-clean-occupied-catalogs-yultrace-bounty-feed": { "command": "npx", "args": [] } } }
ADD TO .vscode/mcp.json
{ "mcpServers": { "comtrycloudflareurgent-clean-occupied-catalogs-yultrace-bounty-feed": { "command": "npx", "args": [] } } }
ADD TO .cursor/mcp.json
{ "mcpServers": { "comtrycloudflareurgent-clean-occupied-catalogs-yultrace-bounty-feed": { "command": "npx", "args": [] } } }

TRY THIS MCP

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About This MCP Server

The com.trycloudflare.urgent-clean-occupied-catalogs/yultrace-bounty-feed server is a search tool that connects to multiple remote sources, including Bountycaster, Dework, Sherlock, Algora, GitHub, and Reddit, to provide a bounty feed search capability. This server enables developers to search across these sources, currently indexing 386 rows of data from 9 sources. A developer would use this tool when they need to search for specific information or bounties across these various platforms, leveraging its remote search functionality.

Bounty-feed search 386 rows across 9 sources (Bountycaster/Dework/Sherlock/Algora/GitHub/Reddit).. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with search & web scraping capabilities via the streamable-http transport.

HOW TO USE

Select your AI client above to get the install command. This MCP server uses the streamable-http transport.

What tools does it provide?

The yultrace-bounty-feed server extends your AI assistant with search & web scraping capabilities. Once installed, your AI can use its tools automatically.

DETAILS
README BADGE
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[![Skills Playground](https://skillsplayground.com/badges/mcp/comtrycloudflareurgent-clean-occupied-catalogs-yultrace-bounty-feed.svg)](https://skillsplayground.com/mcps/comtrycloudflareurgent-clean-occupied-catalogs-yultrace-bounty-feed/)
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