INDIVIDUAL MCP TOOL

create_share_bundle

Use this when the person wants a factual social-ready caption and card intent after a bounty step.

agentbounties.appnone authenticationAvailability not checked

LIVE ENDPOINT

https://mcp.agentbounties.app/mcp

No auth detected

Connect to this endpoint to inspect the live schema for create_share_bundle and invoke it with your own arguments.

{}

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.

CONNECT WITH APPROVAL

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.

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.
get_bounty_feed — Use this when the model or mounted feed needs fresh structured bounty data without rendering another widget.
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.
prepare_moonpay_onramp — Use this when a person funding one canonical Base bounty needs Base USDC.