BountyRadar MCP
Featured — bounty-intelligence MCP for agent farms
BountyRadar is the judgment layer for the agent-bounty economy. Public open-source bounties are agent-saturated — a single Algora bounty has drawn 8–158 competing agent attempts within hours — so the scarce skill is target selection, not discovery. BountyRadar aggregates AI-agent-solvable bounties across Opire, BountyHub, ClawHunt, Algora, GitHub and validated security programs, scores each for agent-solvability, freshness and competition, and serves a ranked, agent-consumable feed. Seven tools, three resources, one prompt, one Streamable HTTP endpoint, no API key.
Sartbot indexes this server; it does not operate it. The canonical source is the Apify Store listing, and the code is on GitHub under the MIT licence. Endpoint URLs and prices can change — trust those pages over this one.
What it exposes
Seven tools. The scoring layer — agent-solvability, freshness and competition — is deterministic and explainable, and is the moat. A honeypot guard drops traps from the default feed.
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get_bounty_feed
The subscriber feed: top-N bounties ranked by composite score, with filters for category, minimum reward, maximum competition, source, freshness, agent-solvability and honeypot inclusion.
composite-ranked -
search_bounties
Keyword plus filter search across the catalog — title, description, tags and repository — so an agent can go straight to a specific stack or bug class.
title · body · repo -
get_bounty_detail
One bounty in full: the complete record plus its score breakdown, so an agent can read the task and the reasoning before committing compute.
by bounty id -
score_bounty
The raw, explainable score for one bounty — freshness, competition, agent-solvability, reward and the composite — with every component in [0,1].
by bounty id -
list_sources
The source registry with live status for every platform — which feeds are live, which are curated, and which are partner candidates.
live · curated -
get_stats
Aggregate counts across the catalog by source, category and reward band — the shape of the opportunity before an agent picks a target.
source · category · reward -
subscribe_feed
Persist a filter profile and get back a poll descriptor (and an optional webhook) so the same ranked feed can be re-polled on a schedule.
filter profile
Resources and prompts
Three resources expose the same data the tools serve, plus one prompt that briefs an agent on today's best targets.
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bountyradar://feed/latest
The latest ranked feed, identical to what get_bounty_feed returns — for agents that prefer a resource read over a tool call.
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bountyradar://stats · bountyradar://sources
A catalog stats snapshot and the source registry, both as JSON resources.
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daily_bounty_brief
A prompt that briefs an agent on today's highest agent-solvable targets, pre-filtered on solvability and competition.
Connect
Two transports: a hosted Streamable HTTP endpoint on Apify Standby, or a local stdio server for desktop clients (MIT — clone and self-host).
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hosted endpoint · mcp-remote { "mcpServers": { "bountyradar-mcp": { "command": "npx", "args": [ "-y", "mcp-remote", "https://neeenja--bountyradar-mcp.apify.actor/mcp", "--header", "Authorization: Bearer ${APIFY_TOKEN}" ], "env": { "APIFY_TOKEN": "<your-apify-api-token>" } } } } -
local · stdio $ git clone https://github.com/PanStories/bountyradar-mcp $ cd bountyradar-mcp $ node src/server.mjs # then, in your MCP client: { "mcpServers": { "bountyradar": { "command": "node", "args": ["src/server.mjs"] } } }
In remote mode the server answers POST /mcp for the protocol. Requests carry your own Apify API token as a Bearer header; self-hosting puts your endpoint at https://<username>--bountyradar-mcp.apify.actor/mcp.
Pricing
Pay per event on the hosted endpoint. No subscription, no seat count, no charge when nothing calls a tool.
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$0.0005 · feed / score / stats / subscribe
Charged on each get_bounty_feed, score_bounty, get_stats and subscribe_feed call — half a tenth of a cent each.
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$0.001 · search
Charged on each search_bounties call — a keyword search costs double a feed read because it walks the whole catalog.
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Always free
The MCP handshake (initialize), tools/list, the source registry and single-bounty detail lookups cost nothing — an agent can connect, enumerate and inspect at zero cost — and every Apify account carries $5 of monthly platform credit.
At a glance
Search all MCP servers →-
Data sources
Opire, BountyHub, ClawHunt, Algora, GitHub issues and validated security programs. The curated catalog ships in-repo; a scraper actor can refresh live records into a separate layer without polluting it. The cost of running the server is compute, not data.
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Scores you can audit
Every score is deterministic and explainable: freshness (exponential decay), competition (1/(1+attempts)), agent-solvability (declared or derived from task type) and a reward normaliser, combined into one composite. No black box, no training.
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Honeypot guard
Bounties flagged as traps — "reserved for interview loop" and the like — are excluded from the default feed, so an agent does not burn compute or burn its reputation on a decoy.
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Intelligence, not a marketplace
Deliberately an intelligence and alerting layer: no fund custody, no KYC, no cross-border settlement. ClawHunt and friends own the settlement layer; this indexes upstream instead of competing.
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Transports
Stateless Streamable HTTP for remote hosting on Apify Standby, plus stdio for local desktop clients.
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Licence
MIT. Clone, fork and self-host without a commercial agreement; the hosted endpoint is simply the convenient default.