"Burp Suite" matching MCP servers:

Exposes the Lichtblick documentation and the @lichtblick/suite extension API to AI agents over stdio, enabling full-text docs search, page fetching and listing, plus lookup and enumeration of exported TypeScript symbols with their doc comments.

An MCP server for creating, loading, and editing RFC TXT documents using the rfc-editor Python library. It provides a suite of tools to manage document components including sections, abstracts, titles, and author metadata.

Connects MCP clients such as Claude Code to a self-hosted La Suite Docs instance, letting them full-text search, browse by recency or favorites, read documents as markdown, and create or edit content (including single-section edits). Favorited documents are also exposed as MCP resources so they can be @-mentioned straight into context.

A comprehensive MCP server suite for Red Hat's automation ecosystem, enabling AI assistants to interact with Ansible Automation Platform, Event-Driven Ansible, ansible-lint, and official Red Hat documentation with secure domain validation.

AI-powered document generation suite that creates comprehensive software documentation including requirements, design specs, test strategies, and deployment guides through LangGraph workflows. Integrates with Cursor IDE via MCP to transform project ideas into professional documentation suites.

Enables fetching document content from Lark Suite using OAuth authentication, with support for streamable HTTP transport and Docker deployment.

Enables AI models to interact with Confluence knowledge bases by searching, reading, and creating pages through the Confluence REST API. It provides a suite of tools for space management, document retrieval, and content creation, including a mock mode for local testing.

A comprehensive suite of Model Context Protocol servers designed to extend AI agent Claude's capabilities with integrations for knowledge management, reasoning, advanced search, news access, and workspace tools.

Provides intelligent access to GPAC multimedia framework's 8,600+ test cases, enabling AI assistants to answer questions about GPAC usage with precise, validated command-line examples. Users can ask natural language questions and get reliable GPAC commands for multimedia processing tasks like DASH streaming, MP4 encryption, and subtitle handling.

This MCP server gives AI coding agents structured, scoped access to GitHub issues, a codebase, its docs, and its test suite, enabling issue triage, code search, test execution, and failure analysis in one workflow. It provides deterministic tools for fetching and analyzing issues, searching code, reading documentation, running tests, and summarizing failures.

Fetches and caches public site pages from llms.txt and returns structured answers with source URLs, enabling verification of claims against live public content.