"Mantis Zugriff - Access and Login Information for Mantis Bug Tracker" matching MCP servers:

Enables AI agents to access authenticated websites by reusing your existing browser profile and cookies, so you never share passwords and sessions persist between runs.

Enables agents to reuse a human-completed Chrome login session to open confirmed origins, read visible page text, and perform single click, fill, or key press actions without ever handling passwords or exposing cookies.

Enables multiple agents to file, label, comment on, and close issues in a shared git-bug store while the git-bug web UI remains open, with rule enforcement and safe concurrent writes.

An MCP server that gives AI coding assistants QA superpowers, enabling users to report bugs by pointing, clicking, or typing while automatically capturing diagnostic data for AI-driven test-feedback-fix loops.

Enables AI interaction with Microsoft Access and SQLite databases to perform SQL queries, updates, and data management. It supports importing and exporting data via CSV and Excel files and includes tools for managing human-readable notes about database files.

Enables MCP clients to read, search, and manage a Yahoo Mail mailbox over IMAP and send or forward messages over SMTP, with multiple accounts selectable per call and writes defaulting to drafts, trash, or dry-runs until explicitly confirmed.

MCP server enabling LLMs to query a local Calibre Content Server for ebook metadata, chapters, and content in HTML or Markdown.

Automates bug bounty hunting across Web2 and Web3 platforms, performing recon, vulnerability scanning, Solidity audits, and report generation.

A comprehensive MCP server for automated bug bounty hunting and security reconnaissance, featuring over 28 specialized tools for subdomain discovery, vulnerability scanning, and traffic analysis. It integrates automated scope validation and professional reporting across multiple platforms like HackerOne and Bugcrowd to streamline security testing.

MCP server that triages GitHub issues by classifying, ranking priority, and assigning an engineer using a local LLM (Ollama) with full traceability.

Enables AI assistants to access authenticated academic databases via browser sessions, eliminating re-login and password exposure.

A shared, concurrency-safe ledger for LLM code audits. It enables multiple agents to collaboratively report, verify, and resolve bugs with deduplication and hallucination resistance.

Enables managing bugs and test cases in Google Sheets via Claude Code, with tools to list, search, filter failed, and update test cases.

An MCP server that gives AI agents access to configured databases (PostgreSQL, MySQL, Redshift, SQL Server) with SSH/AWS SSM tunnels, pluggable secret providers, and strict per-instance isolation.

Provides Claude Code with access to a comprehensive bug bounty knowledge base including techniques, payloads, wordlists, and real-world reports through 14 tools for searching, retrieving payloads, and assessing report quality.

Feishu Access Bridge enables reading Feishu (Lark) Wiki pages, documents, spreadsheets, and multi-dimensional tables. It supports user OAuth, enterprise app, or browser session access modes via CLI and MCP tools.

Enables SSH and UART/serial port access for Claude Code to directly control remote devices like Raspberry Pi, embedded systems, and IoT devices. Supports command execution, file transfers via SFTP, and serial communication.

Enables LLM clients to access crop yield predictions from RGB imagery, topic-based PDF literature, and soil lab/moisture CSV data.

Enables AI assistants to manage job applications and companies in a local SQLite-backed tracker, including searching, creating, updating, and deleting postings and companies, plus reading and updating shared job-search context.

Enables read-only MCP access to Yandex Tracker for retrieving issues with comments and attachment metadata, searching issues, reading issue history, downloading attachments, and finding users. It also supports connection status checks and token configuration without exposing secrets.