Discover supported analyzer IDs and aliases for clang-tidy, IWYU, llvm-mca, OSACA, and PVS-Studio, optionally filtered by a specific compiler.
MIT
521,397 tools. Updated 2026-09-06 11:00
"LLVM" matching MCP tools:
- Check council seat statuses without fetching answers, using long-polling to wait for completion and get progress updates.AGPL 3.0
- Create or overwrite a Markdown wiki page at a specified path. Missing folders are created automatically, YAML frontmatter is completed, and overwrite=true is required to replace existing files.MITDestructive
- Correct a wrong model routing by redirecting to a better tool and logging the correction to improve future routing decisions.MIT
- Run tasks on Google's Gemini models via local CLI, using your Google One AI Pro subscription. Use as a fallback when Claude limits are tight or for tasks benefiting from Gemini.MIT
- Analyze workspace files to generate a compact semantic summary, giving LLM routing the project context it needs to choose the right model.MIT
Matching MCP Servers
- AlicenseAqualityDmaintenanceOptimizes token costs by intelligently delegating low-complexity tasks to local LLMs via LiteLLM, enabling cost-effective development workflows.31MIT
- AlicenseAqualityBmaintenanceEnables controlling Spotify playback and building LLM-reasoned playlists from any MCP client, reusing an existing spotify_player session with no OAuth.14MIT
Matching MCP Connectors
Measure whether AI assistants actually recommend a brand, from measured answers.
Swiss weather data for AI assistants — forecasts, measurements, stations, pollen.
- Recommends the cheapest LLM model fitting your token workload and budget, with optional provider and model filters.MIT
- Auto-route AI prompts with persistent server-side savings tracking, ensuring accurate cumulative value even on hosts lacking client-side hooks.MIT
- Resolve blocked high-cost AI routing calls: approve to proceed, cancel, or downgrade to a cheaper model.MIT
- Monitor real-time budget pressure for all configured AI providers. See which are fully available or exhausted to plan cost-efficient routing.MIT
- Rate AI routing decisions as good or bad to store feedback, improving future model selection.MIT
- Open a recorded core/minidump with a local debugger adapter and capture bounded postmortem evidence (stack, locals, registers, modules, disassembly) without executing the crashed program.Apache 2.0
- Convert images from local files, URLs, clipboard, or base64 into detailed text descriptions, giving text-only agents vision capabilities.MIT
- Classifies task complexity to route prompts to the optimal LLM tier—budget, balanced, or premium—saving cost while maintaining quality.MIT
- Evaluate and benchmark local and remote models on reasoning and code tasks to measure quality, speed, and accuracy for optimal routing.MIT
- Route AI tasks to the local Codex desktop agent via Codex CLI for non-interactive execution using your OpenAI subscription. Choose it when Claude limits are tight or tasks fit OpenAI's models.MIT
- Generate bulk edit instructions across multiple files for cross-file refactors, bulk renames, and updating repeated patterns in one pass.MIT
- Analyze any chess position with Stockfish, returning top engine lines, scores, and win/draw/loss probabilities. Get deep insights without altering the game.AGPL 3.0
- Convene a blind multi-model council on a hard problem. Provide a brief to launch concurrent independent model agents, receive a council ID, then poll for answers and reveal identities later.AGPL 3.0
- Find relevant wiki pages using hybrid BM25 and semantic vector search, returning the best match per page with path, heading path, and excerpt.MIT
- Query LLM spending grouped by provider, model, project, tag, or day over a customizable time window, with optional filters to narrow results.MIT