"Debugging WebRTC SDK Implementation Issues in Visual Studio 2019" matching MCP servers:

Enables triage of GitHub issues by fetching and filtering issues, checking claim status, and listing new open issues across a watch-list.

Enables AI assistants to list, search, and inspect issues on any public GitHub repository via natural language.

Exposes GitHub issue operations as tools for LLM agents, enabling listing, creating, commenting on, closing, and searching issues via natural language.

MCP server for multimodal understanding and object grounding (bounding boxes) across images, videos, and documents, with support for multiple AI providers (Zhipu GLM-V, OpenAI GPT-4o, Anthropic Claude, or any OpenAI-compatible endpoint).

Enables AI assistants to discover, filter, and triage GitHub issues across repositories, with tools for fetching issue details, listing issues by state/labels, and finding related pull requests.

Call OpenAI Codex from Claude Code for independent second opinions, structured code review, and delegated coding tasks through a FastMCP plugin that drives the codex CLI safely.

Provides image understanding capabilities to coding models without vision support by automatically invoking a vision model and returning text descriptions, enabling seamless context-aware coding with images.

Controls a running Chrome/Chromium browser via the Chrome DevTools Protocol, enabling navigation, JavaScript evaluation, tab management, and raw CDP commands through MCP tools.

Enables AI-guided hierarchical fiction writing through structured XML documents. Supports step-by-step narrative expansion from book-level planning down to individual paragraphs, with custom Roo Code modes for collaborative story development.

Enables users to describe their LLM fine-tuning job once and get the cheapest, fastest, and most balanced GPU options across a dozen cloud providers in seconds.

Provides structured visual evidence from images via Google's Antigravity CLI, with tools for scene-level reading, targeted visual questioning, and image comparison prefiltering.

Enables academic research through paper search across multiple databases (IACR, CryptoBib, Crossref, Google Scholar), PDF processing, and GitHub repository browsing. Features modular architecture with FastMCP-based proxy server routing to specialized academic tools.

A configurable MCP server providing searchable access to AI/ML SDK source code and documentation, supporting frameworks like OpenAI Agents and Google ADK. It enables AI assistants to browse files, extract class definitions, and compare implementations across different SDKs.

Provides complete programmatic access to OPNsense core APIs, enabling firewall automation, VPN management, and system administration through a comprehensive MCP server.

Enables AI assistants to manage TickTick tasks, projects, habits, and focus sessions through the MCP server.

Checks URLs for phishing risks using URL, DNS, HTTP, HTML, and mobile rendering signals, and provides a 1024x1024 PNG visual summary of the page.

Enables agents to verify educational, scientific, and engineering visuals by extracting structured evidence and running domain-specific checks against specs and theory.

Enables deterministic visual and structural analysis of PDF and DOCX documents, extracting measurable evidence such as blur, OCR confidence, and image anomalies for auditable forensic workflows.

A neuromorphic visual processing system that combines visual memory storage with creative generation capabilities, using a 7-database architecture to simulate brain regions for comprehensive sensory-cognitive AI processing.

A minimal MCP server with a sample search_news skill that demonstrates how Claude Code can automatically call a skill over the MCP protocol.