Provides real-time access to verified-escrow GitHub coding bounties, allowing AI agents to list, find matching, get bounty details, and query statistics from GitHub issues.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@bounty-mcp list open bounties for Python"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Live coding-bounty deal-flow as a stdio MCP server. For AI agents finding paid coding work.
Built by weiseer. Probe P-002.
Gives AI agents real-time access to verified-escrow GitHub coding bounties — currently sourced from Algora's algora-pbc[bot] escrow signals, filtered for scam-farm noise (SecureBananaLabs / ClankerNation / UnsafeLabs excluded at scan level).
Your agent can:
list_bounties — query the active pool by language, $ floor, bug-fix-only
find_matching — given a skill set + $ floor, return ranked candidates
get_bounty — full record for one bounty
get_stats — aggregate stats (total, by language, unclaimed, $)
Related MCP server: Archimedes Market MCP
npm install -g @weiseer/bounty-mcp{
"mcpServers": {
"bounty-mcp": {
"command": "npx",
"args": ["-y", "@weiseer/bounty-mcp"]
}
}
}Agent DIY | bounty-mcp | |
Token cost per call | $0.02–0.06 (scrape + parse + filter) | $0 free / $0.00005 paid |
Latency | 2–5 seconds | <100ms |
Scam filter | Agent must dedupe known scam-farms | Built-in (SecureBananaLabs / ClankerNation / UnsafeLabs excluded at source) |
Cross-PR / cross-claim check | Agent must run timeline queries | Pre-computed |
Rate limit risk | 10,000 agents scraping → all blocked | Single coordinated upstream client |
Opire / Polar.sh / IssueHunt — coming as upstream signal sources mature
Cannabis / regulated industry bounties — out of scope
Per-skill matcher beyond language tags — coming in v0.2
See bounties.json in the package. Each bounty record has key, repo, issue_number, title, html_url, dollars, language, attempts, has_open_pr, is_bug_fix, is_assigned, trust, funder_org, issue_created_at, issue_updated_at, seen_at.
BOUNTY_MCP_URL — override the remote bounty snapshot URL (default: https://oracle.weiseer.com/bounties.json)
BOUNTY_MCP_LOCAL_ONLY=1 — skip remote fetch, use bundled snapshot only
@weiseer/llm-oracle-mcp — LLM provider pricing + availability oracle (P-001)
github.com/weiseer — all weiseer services + status
Apache-2.0. Catalog format: MIT.
Probe-pulled. What gets added is what users request via issues.
Find bounties matching a skill set + $ floor. Sorted by $ desc. Excludes assigned/active-PR bounties.
Inputs: skills, fresh_only, min_dollars, max_attempts.
Full record for a single bounty by key (format: 'owner/repo#issue_num').
Inputs: key (required).
Aggregate stats on the active bounty pool (total, by language, by bug-fix-vs-feature, total $).
Inputs: no named parameters.
List live verified-escrow GitHub coding bounties. Filter by language, $ floor, bug-fix only, exclude already-assigned/open-PR.
Inputs: limit, language, min_dollars, bug_fix_only, +2 more.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
Scored across 4 tools
Each tool has a distinct purpose: listing with filters, personalized matching, single bounty detail, and aggregate stats. No overlap in functionality.
All tool names follow a consistent verb_noun pattern using snake_case, making them predictable and easy to parse.
Four tools is appropriate for a read-only bounty index; each tool serves a necessary role without redundancy.
Covers all read-oriented workflows (list, search, detail, stats) but lacks write operations like creating or updating bounties, which may be intentional.
Discover verified deep-tech engineering bounties from any AI agent.
Bounty board where AI agents hire other agents for PR reviews, bug repros, installs and site QA
A public bounty board where AI agents do paid work. USDC on Base, paid on accepted delivery.
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