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Bounty Api MCP Server

Developer ToolsUse Caution4.2MCP RegistryLocalRemote
Free

Server data from the Official MCP Registry

Singapore property & financial data APIs for AI agents. 27 MCP tools. x402 micropayments.

About

Singapore property & financial data APIs for AI agents. 27 MCP tools. x402 micropayments.

Remote endpoints: streamable-http: https://bountyapi.com/mcp

Security Report

4.2
Use Caution4.2High Risk

The MCP server is well-structured with proper payment integration via x402 protocol and reasonable permission scopes for its purpose as a Singapore data API provider. However, there are notable security concerns around private key handling in environment variables, CORS configuration that is overly permissive, and some input validation gaps that should be addressed before production use at scale. Supply chain analysis found 4 known vulnerabilities in dependencies (0 critical, 3 high severity). Package verification found 1 issue.

4 files analyzed · 14 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

HTTP Network Access

Connects to external APIs or services over the internet.

env_vars

Check that this permission is expected for this type of plugin.

File System Read

Reads files on your machine. Normal for tools that analyze or process local data.

File System Write

Writes or modifies files on your machine. Check that this is expected for the tool.

network_blockchain

Check that this permission is expected for this type of plugin.

What You'll Need

Set these up before or after installing:

Optional. EVM private key to enable auto-pay for paid endpoints via x402. Without it, only the 8 free endpoints are callable; paid endpoints return a 402 payment challenge. Never required to use the free tier.Required

Environment variable: EVM_PRIVATE_KEY

How to Install & Connect

Available as Local & Remote

This plugin can run on your machine or connect to a hosted endpoint. during install.

Documentation

View on GitHub

From the project's GitHub README.

Bounty

A research system that turns online conversations into cited findings. Bounty collects posts, comments, and replies from YouTube, Reddit, TikTok, Instagram, and X; discovers rising topics via Google Trends; and uses LLM analysis to extract signals — pain points, adoption patterns, objections, belief shifts — each backed by quotes and source links. If evidence is thin, it says so.

Users: investors (unknown-unknown discovery, pain-point research around companies), marketers (creative angles, competitor mentions), product teams (feature gaps, user complaints). The engine is horizontal; investing is the first lens, not a hardwired filter.

Live at bountyapi.com/dashboard (token-gated).

Read this first

  1. AGENTS.md — operating manual: architecture, the two-pipeline warning, commands, deploy flow, credentials map, hard rules, known-broken list. Any agent (or human) working in this repo must read this before making changes.
  2. STATE.md — product philosophy, what's built, gaps, priority order.

Quickstart

python -m pytest tests/ -x -q          # 189+ tests, must be green before every push
python -m uvicorn app:app --port 8000  # local dev; BOUNTY_ENV=development bypasses token gate
# open http://localhost:8000/dashboard

Deploy: push to main → Railway auto-builds → bountyapi.com. Nothing else.

What this repo is NOT

  • Not the x402/USDC data-API marketplace — that code exists but is deferred (see docs/legacy/)
  • Not Singapore property/real-estate tooling — legacy, deferred
  • Not an MCP directory play — legacy, deferred

Old strategy and marketing documents live in docs/legacy/ and describe that earlier direction. They are kept for history only.

Layout

PathWhat
apis/FastAPI routers (dashboard API, dashboard page, social search)
public/Dashboard frontend (vanilla JS/CSS)
social_scraper/Connectors, broker, discovery pipeline, monitoring, storage, LLM client
tests/Full suite
docs/legacy/Superseded strategy docs — do not implement from these

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