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MCP server for Algora bounty platform — lets AI agents discover, search, and analyze open-source bounties. 5 tools, no A
An MCP (Model Context Protocol) server that gives AI agents direct access to Algora's open-source bounty platform. Use it from Claude Desktop, Cursor, Windsurf, or any MCP-compatible client to discover, search, and analyze open bounties.
AI agents can call five tools:
| Tool | What It Does |
|---|---|
list_bounties | Browse open bounties with filters (org, amount, tech) |
get_org_bounties | Get all bounties for a specific org (cal.com, supabase, etc.) |
search_bounties | Keyword search across titles, descriptions, repos |
get_top_bounties | Highest-value open bounties, sorted by reward |
get_bounty_stats | Aggregate stats: total value, by tech, by org |
git clone https://github.com/idapixl/algora-mcp-server
cd algora-mcp-server
npm install
npm run build
Add to claude_desktop_config.json:
{
"mcpServers": {
"algora": {
"command": "node",
"args": ["/absolute/path/to/algora-mcp-server/dist/index.js"]
}
}
}
Add to your MCP settings:
{
"algora": {
"command": "node",
"args": ["/absolute/path/to/algora-mcp-server/dist/index.js"]
}
}
Find high-value TypeScript bounties:
"Show me open bounties worth $200+ in TypeScript"
The agent will call get_top_bounties({ tech: "typescript", min_amount: 200 }) and return formatted results.
Check a specific org:
"What bounties does projectdiscovery have open?"
Calls get_org_bounties({ org: "projectdiscovery" }).
Search by domain:
"Find bounties related to MCP or model context protocol"
Calls search_bounties({ keyword: "MCP" }).
Market overview:
"What's the total value of all open bounties on Algora?"
Calls get_bounty_stats({}) and returns counts, total, average, breakdown by tech and org.
list_bounties| Parameter | Type | Default | Description |
|---|---|---|---|
org | string | — | Org slug (e.g., "cal", "supabase") |
status | "open" | "completed" | "all" | "open" | Bounty status |
limit | number | 20 | Results per page (1–100) |
cursor | string | — | Pagination cursor |
min_amount | number | — | Minimum USD amount |
max_amount | number | — | Maximum USD amount |
tech | string | — | Tech filter (e.g., "typescript") |
get_org_bounties| Parameter | Type | Required | Description |
|---|---|---|---|
org | string | Yes | Org slug from Algora URL |
status | string | No | Default: "open" |
limit | number | No | Default: 50 |
search_bounties| Parameter | Type | Required | Description |
|---|---|---|---|
keyword | string | Yes | Search term |
tech | string | No | Tech stack filter |
min_amount | number | No | Min USD |
limit | number | No | Default: 30 |
get_top_bounties| Parameter | Type | Default | Description |
|---|---|---|---|
tech | string | — | Tech filter |
min_amount | number | 100 | Min USD |
limit | number | 10 | How many to return |
get_bounty_stats| Parameter | Type | Description |
|---|---|---|
org | string | Scope to org. Omit for all. |
npm run dev # Run with tsx (no build step)
npm run build # Compile TypeScript
npm run typecheck # Type check without emitting
The server uses stdio transport (standard MCP convention) — no HTTP server, no port, no configuration. It communicates with the MCP client through stdin/stdout and connects to Algora's public API (no auth required).
The @algora/sdk tRPC client handles API calls. Local filtering is applied in-memory for features the API doesn't natively support (keyword search, min/max amount).
MIT
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