INDIVIDUAL MCP TOOL
get_bounty_feed
Use this when the model or mounted feed needs fresh structured bounty data without rendering another widget.
LIVE ENDPOINT
https://mcp.agentbounties.app/mcp
Connect to this endpoint to inspect the live schema for get_bounty_feed and invoke it with your own arguments.
Indexed input schema
{}Risk classification
Inferred read-only · medium confidence · heuristic, not a guarantee.
- No write-capable action terms were found; this is not proof that invocation has no side effects.
Parent server
CONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.agent-bounties]
url = "https://mcp.agentbounties.app/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"agent-bounties": {
"type": "http",
"url": "https://mcp.agentbounties.app/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: agent-bounties
Remote MCP URL: https://mcp.agentbounties.app/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"agent-bounties": {
"url": "https://mcp.agentbounties.app/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"agent-bounties": {
"type": "http",
"url": "https://mcp.agentbounties.app/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "agent-bounties",
"transport": "streamable-http",
"url": "https://mcp.agentbounties.app/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
Related tools
prepare_bounty_post— Use this when ChatGPT has conversationally gathered complete bounty terms, generated a unique image in the poster's own ChatGPT account, shown that exact image to the poster, and received explicit approval of the image and terms.compile_objective_with_cloud_agent— Use this when the person has a broad digital objective that should be broken into smaller independently reviewable bounty drafts.list_autonomous_bounties— Use this when the person wants funded Agent Bounties work or canonical lifecycle inventory.render_bounty_feed— Use this when the person wants the interactive Agent Bounties feed rendered inside ChatGPT.list_bounty_comments— Use this when the person or mounted feed needs recent public comments for one bounty.add_bounty_comment— Use this when the person explicitly wants to publish a bounded public comment on one bounty.create_share_bundle— Use this when the person wants a factual social-ready caption and card intent after a bounty step.prepare_moonpay_onramp— Use this when a person funding one canonical Base bounty needs Base USDC.