"Elm" matching MCP tools:

• get_law_contentA

  e-Gov Law MCP Server

  Retrieve Japanese legal statutes from the e-Gov API. Get full law content or summaries for large documents, with JSON or XML formatting options.

  MIT

• atlas_generate_videoA

  Atlas Cloud MCP Server (Image / Video / LLM APIs)

  Submit video generation requests using Atlas Cloud's AI models. Specify model ID and parameters to create videos from text prompts or images, then check results with prediction ID.

  MIT

• llm_fs_analyze_contextA

  ypollak2/llm-router

  Scan workspace files (package.json, README, TODOs) to generate a compact semantic summary for routing context. Call at session start or after major refactors.

  MIT

• llm_geminiA

  ypollak2/llm-router

  Route tasks to Google's Gemini models via local CLI agent. Uses your Google One AI Pro subscription as a fallback when Claude limits are reached, or for tasks benefiting from Gemini's capabilities.

  MIT

• llm_rerouteA

  ypollak2/llm-router

  Override the last routing decision to correct wrong model choices and record feedback for routing quality improvement.

  MIT

• llm_autoA

  ypollak2/llm-router

  Routes AI tasks to the best model while tracking cumulative savings across sessions and hosts, even without client-side hooks.

  MIT

• llm_budgetA

  ypollak2/llm-router

  Displays real-time budget pressure across configured AI providers, using pressure bars to indicate quota exhaustion risk and help manage spending.

  MIT

• llm_rateA

  ypollak2/llm-router

  Provide feedback on routing decisions to retrain the local classifier and improve model selection over time.

  MIT

• llm_approve_routeA

  ypollak2/llm-router

  Decide whether to proceed with a blocked high-cost AI call by approving, rejecting, or downgrading to a cheaper model.

  MIT

• atlas_quick_generateA

  Atlas Cloud MCP Server (Image / Video / LLM APIs)

  Generate images or videos by searching models with keywords, automatically configuring parameters, and submitting tasks in one step.

  MIT

• llm_model_evalA

  ypollak2/llm-router

  Evaluate and benchmark all available models on reasoning and code tasks to determine quality, speed, and accuracy, then optimize routing priorities.

  MIT

• llm_routeA

  ypollak2/llm-router

  Classifies task complexity and routes to the optimal LLM. Uses a cheap classifier to select from budget, balanced, or premium models based on difficulty.

  MIT

• llm_codexA

  ypollak2/llm-router

  Send a task to Codex CLI to run non-interactively with OpenAI models, bypassing Claude quota limits.

  MIT

• atlas_generate_imageA

  Atlas Cloud MCP Server (Image / Video / LLM APIs)

  Generate images using Atlas Cloud AI models by submitting prompts and parameters, then check results with a returned prediction ID.

  MIT

• llm_fs_edit_manyA

  ypollak2/llm-router

  Apply bulk edits across multiple files by generating JSON edit instructions from a natural language task. Use for cross-file refactors and pattern updates.

  MIT

• llm_classifyA

  ypollak2/llm-router

  Assess prompt complexity and token usage to select the best model, adjusting for budget pressure and quality needs.

  MIT

• llm_dashboardA

  ypollak2/llm-router

  Open a local web dashboard to view real-time routing statistics, cost trends, model distribution, and recent decisions from the LLM Router. Refreshes automatically every 30 seconds.

  MIT

• llm_fs_findA

  ypollak2/llm-router

  Converts natural language file search descriptions into glob/grep commands and executes them to locate files.

  MIT

• llm_queryA

  ypollak2/llm-router

  Routes your question to the most suitable LLM based on complexity or explicit model choice, balancing cost and capability.

  MIT

• llm_save_sessionA

  ypollak2/llm-router

  Save a compact summary of the current session to provide context for future routed model calls, enabling cross-session awareness.

  MIT