Performs a deep web search: Tavily + Firecrawl find sources, then the LLM (default GLM-5.2 via Ark) synthesizes a cited answer.

Returns:
  - session_id      string  pass to get_sources to retrieve full source list
  - content         string  LLM's source-based answer (with [n] inline citations)
  - sources_count   int
  - cached          bool    true if response was served from in-memory result cache

When you feel confused or curious about the search response content, use the session_id returned by web_search to invoke the this tool to obtain the corresponding list of information sources.
Retrieve all cached sources for a previous web_search call.
Provide the session_id returned by web_search to get the full source list.

Performs a web search via Gemini + Google Search grounding (Google's index).
Independent of Tavily/Firecrawl — use as a second search path for cross-validation.
Returns the grounded answer plus Google-sourced citations.
Requires GEMINI_API_KEY (get a free key at https://aistudio.google.com/apikey).

Fetches and extracts complete content from a URL, returning it as a structured Markdown document.

**Key Features:**
    - **Full Content Extraction:** Retrieves and parses all meaningful content (text, images, links, tables, code blocks).
    - **Markdown Conversion:** Converts HTML structure to well-formatted Markdown with preserved hierarchy.
    - **Content Fidelity:** Maintains 100% content fidelity without summarization or modification.

**Edge Cases & Best Practices:**
    - Ensure URL is complete and accessible (not behind authentication or paywalls).
    - May not capture dynamically loaded content requiring JavaScript execution.
    - Large pages may take longer to process; consider timeout implications.

Maps a website's structure by traversing it like a graph, discovering URLs and generating a comprehensive site map.

**Key Features:**
    - **Graph Traversal:** Explores website structure starting from root URL.
    - **Depth & Breadth Control:** Configure traversal limits to balance coverage and performance.
    - **Instruction Filtering:** Use natural language to focus crawler on specific content types.

**Edge Cases & Best Practices:**
    - Start with low max_depth (1-2) for initial exploration, increase if needed.
    - Use instructions to filter for specific content (e.g., "only documentation pages").
    - Large sites may hit timeout limits; adjust timeout and limit parameters accordingly.

Returns current multsearch MCP server configuration and tests API connectivity.

**Key Features:**
    - **Configuration Check:** Verifies environment variables and current settings.
    - **Connection Test:** Sends request to /models endpoint to validate API access.
    - **Model Discovery:** Lists all available models from the API.

**Edge Cases & Best Practices:**
    - Use this tool first when debugging connection or configuration issues.
    - API keys are automatically masked for security in the response.
    - Connection test timeout is 10 seconds; network issues may cause delays.

Switches the default LLM model used for search and fetch operations, persisting the setting.

**Key Features:**
    - **Model Selection:** Change the AI model for web search synthesis and content fetching.
    - **Persistent Storage:** Model preference saved to ~/.config/multsearch/config.json.
    - **Immediate Effect:** New model used for all subsequent operations.

**Edge Cases & Best Practices:**
    - Use get_config_info to verify available models before switching.
    - Invalid model IDs may cause API errors in subsequent requests.
    - Model changes persist across sessions until explicitly changed again.