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Bug Bounty Tools

A specialized MCP server focused exclusively on bug bounty hunting workflows, providing both REST API endpoints and MCP tools for reconnaissance, vulnerability hunting, business logic testing, OSINT gathering, and file upload testing. Built with Python using Flask and FastMCP, it features prioritized vulnerability testing based on impact and bounty potential, comprehensive workflow generation for different phases of security testing, and integration with popular bug bounty tools like Nuclei, SQLMap, Subfinder, and HTTPx. The implementation uses a clean architecture with specialized managers for different testing phases and includes a dedicated file upload vulnerability testing framework with bypass techniques, making it ideal for bug bounty hunters and security researchers who need structured, automated workflows for systematic vulnerability discovery and testing.

Cognium trust score

37%

Tier

Scanned

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.

Scan details: Circle-IR · 2026-09-19 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: security
Source: PulseMCP
Repository: github.com/slanycukr/bugbounty-mcp-server
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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MCP

Resolve Bug Bounty Tools from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"