"Support resources for HTTP-related issues or questions" 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 agents to create, submit answers, and query profile questions from the White Rabbit Profile Questions API. Supports various question types and batch operations.

A server that enables retrieval of Sentry issues through two simple tools - get a specific issue by URL/ID or get a list of issues from a project.

Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.

Enables Claude, Cursor, VS Code, and other MCP clients to search 200 graded AI engineering and investment banking interview questions, retrieve model answers, and run scored mock interviews offline or over HTTP.

Enables AI assistants in MCP-compatible clients to list topics, fetch random junior, mid, or senior AI Engineer questions with scoring points, and retrieve a free self-checker link for answer practice.

Enables AI models to ask users questions through a local web interface, supporting batch questions, multi-select, and free text for human-in-the-loop interactions.

MCP server that provides OpenRouter model pricing data, enabling price lookups, trending/cheapest lists, and model searches without an API key.

Lets agents read a GitHub repository's live issues through read-only tools for listing, filtering, fetching details with comments and cross-references, searching, and exploring labels and milestones, with transparent pagination and provenance notes.

Provides a generic HTTP client tool allowing AI agents to make arbitrary HTTP requests from their environment, with support for environment-variable placeholders for secrets.

Enables LLMs to list, create, and comment on GitHub issues using your own GitHub identity via stdio transport.

Enables AI agents to manage GitHub issues by listing, creating, searching, and commenting on them through MCP.

Web scraper and token compressor that converts HTML to clean markdown with 70-80% fewer tokens. Single-page compression and multi-page BFS crawling with auto-fallback fetch modes.

A Model Context Protocol server that enables Claude to execute Python code using boto3 to query and manage AWS resources directly from conversations.

Enables AI assistants to work with Chapel code, including compiling, linting, and accessing educational primers.

An MCP server providing read-only access to Linear issues for language models, allowing them to fetch issue details and comments using a Linear API token.

MCP server that demonstrates the Resources feature by exposing static and dynamic resources, including contact data and personalized greetings, through MCP.

Provides live wait times and office details for all 60 Oregon DMV field offices by scraping the ODOT website, with no authentication required.

LLM routing proxy that cuts API costs 60-90% by auto-selecting the cheapest capable model across OpenAI, Anthropic, and Google. Provides stats, config, and model comparison tools via MCP.

Enables an ElevenLabs support agent to call support tools over MCP, including Discord ticket flows, post-call webhook handling, and knowledge-base syncing.

Enables fetching HTTP resources through the MCP protocol.

Enables an AI operator to create consent-based remote support sessions on Windows PCs, run PowerShell commands, and upload or download files through an audited, self-terminating MCP relay.

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.

Provides an HTTP API for Claude Code using a native MCP channel to enable stable message exchange without terminal screen-scraping. It allows users to programmatically send messages, retrieve conversation history, and stream real-time events via standard web protocols.

Lets AI agents turn a repository's git history into proposed GitHub issues grouped into units of work, each with a commit checklist and links, then create and close them only after approval. Planning is read-only and creation defaults to a dry run, skipping anything that already exists.

A standalone MCP server that exposes a narrow set of GitHub Issues tools for a single repository, securely handling a GitHub personal access token so agents never see the credential.

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.

Enables LLMs to make HTTP requests with OAuth2, session cookies, retry logic, and cURL command generation, while providing security features like SSRF protection and TLS enforcement.

MCP server for generating negative-space print supports for 3D models (STL/OBJ/STEP) via the negative.support API.