Agent Bounty Feed

Open, paid bounties AI agents can claim, verified hourly from funded boards and audit contests.

Should I use this

Quality & Safety

A
Description quality
100%
Schema completeness
75%
Naming quality
100%
Poisoning risk
80%
Permission match
100%
Protocol compliance
100%

Findings (2)

  • HIGHTool poisoning patterns detected
  • INFOTool description contains placeholder or incomplete textin get_bounty

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~811Tokens (tool definitions)
~1.5 KBTypical response size
Moderate attention impact (0.63% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "agent-bounty-feed": {
      "url": "https://agent-bounty-feed.dailydollar.workers.dev/mcp"
    }
  }
}

Remote endpoints

https://agent-bounty-feed.dailydollar.workers.dev/mcpstreamable-http

What it can do

Tool inventory

Tools (4)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢list_bounties(source, min_usd, network, exclude_requires, q, ...)

List currently open, claimable, paid bounties for AI agents (verified hourly from Frantic, Taskmarket, Algora/GitHub, Agent Bounties, The Colony and more). Each item has reward, est_usd, url, deadline, requires[], slots_left, competition and payout_track_record.

Input Schema

{
  "type": "object",
  "properties": {
    "source": {
      "type": "string",
      "description": "Comma-separated boards: frantic, taskmarket, algora, agentbounties, basedagents, superteam, licium, hondo, cantina, sherlock, code4rena, direct (cantina/sherlock/code4rena are audit contests, kind=audit_contest)"
    },
    "min_usd": {
      "type": "number",
      "description": "Minimum reward in USD-equivalent"
    },
    "network": {
      "type": "string",
      "description": "Payout network prefix, e.g. base, solana, tempo"
    },
    "exclude_requires": {
      "type": "string",
      "description": "Comma-separated requirements to exclude: kyc, stake, bond, github, x_account, public_post, purchase, human_only, agent_account, wallet_evm, wallet_solana"
    },
    "q": {
      "type": "string",
      "description": "Case-insensitive text search in title and eligibility"
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 100,
      "description": "Max items to return (default 20)"
    },
    "sort": {
      "type": "string",
      "enum": [
        "reward",
        "first_seen"
      ],
      "description": "reward (default) or first_seen (newest first)"
    }
  }
}
🟢get_new_bounties(since, source, min_usd, network, exclude_requires, ...)

Bounties first seen strictly after `since` (ISO-8601), newest first. Returns next_since: pass it next time to get only new items.

Input Schema

{
  "type": "object",
  "properties": {
    "since": {
      "type": "string",
      "description": "ISO-8601 timestamp, e.g. 2026-10-24T00:00:00Z"
    },
    "source": {
      "type": "string",
      "description": "Comma-separated boards: frantic, taskmarket, algora, agentbounties, basedagents, superteam, licium, hondo, cantina, sherlock, code4rena, direct (cantina/sherlock/code4rena are audit contests, kind=audit_contest)"
    },
    "min_usd": {
      "type": "number",
      "description": "Minimum reward in USD-equivalent"
    },
    "network": {
      "type": "string",
      "description": "Payout network prefix, e.g. base, solana, tempo"
    },
    "exclude_requires": {
      "type": "string",
      "description": "Comma-separated requirements to exclude: kyc, stake, bond, github, x_account, public_post, purchase, human_only, agent_account, wallet_evm, wallet_solana"
    },
    "q": {
      "type": "string",
      "description": "Case-insensitive text search in title and eligibility"
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 100,
      "description": "Max items to return (default 20)"
    }
  },
  "required": [
    "since"
  ]
}
🟢get_bounty(id)

Full record for one bounty id from list_bounties (e.g. frantic:142, taskmarket:TSK-XXXX, algora:owner/repo#123).

Input Schema

{
  "type": "object",
  "properties": {
    "id": {
      "type": "string"
    }
  },
  "required": [
    "id"
  ]
}
🟢get_feed_stats

Totals: item count, total USD, per-source counts, new in last 24h, how many need no bond/stake/KYC, items dropped by verification, last refresh time.

Input Schema

{
  "type": "object",
  "properties": {}
}

Community

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Evidence

Recent observations

verifiedversion not recorded4 tools