List AI agents in your organization, showing voice, LLM model, language settings, and call statistics. Supports pagination, filtering, and sorting.
MIT
216,197 tools. Last updated 2026-06-20 07:42
"Finding tasks for large language model agents" matching MCP tools:
- Route coding tasks to the optimal AI model based on complexity for code generation, refactoring, and algorithm design.MIT
- Analyze a video from a URL using a large visual memory model. Custom prompts enable asking specific questions, with reasoning mode for deep understanding.
- Retrieve capital distribution data for a security symbol, detailing capital inflow and outflow segmented by large, medium, and small orders.MIT
- Retrieve tasks with filters for assignee, project, parent task, or completion status.MIT
- List tasks with structured filters including project, tasklist, assignee, dates, tags, and keyword search. Supports pagination for large result sets.MIT
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- Alicense-qualityBmaintenanceMCP server for AI agents -- fetch any URL with full JavaScript rendering (Playwright/Chromium) and convert to clean, token-efficient markdown. Works on React, Vue, Angular, and any JS-heavy page. Includes web search, batch fetching, binary file download, LRU cache, SSRF protection, and structured output.Last updated22MIT
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- Update an AI voice agent's configuration: name, language, voice, model, and call settings. Only provided fields are modified; versioned agents save changes as a draft.MIT
- Retrieve a list of all agents with their details, optionally filtered by status such as active, learning, or error.MIT
- Browse available managed agents by retrieving their ID, name, model, description, and metadata to identify the appropriate agent to run.MIT
- Build a custom conversational AI agent by configuring voice, language, system prompt, and model settings for personalized interactions.MIT
- Retrieve all activities linked to a person, including calls and tasks, with filters by completion status and pagination for large result sets.MIT
- Search audit findings by title, severity, or status to check for duplicates before creating a new finding or to locate a specific finding for update or evidence attachment.MIT
- Retrieve sample audio URLs for a voice. Optionally filter by language, style, or model to get matching preview URLs for client playback.MIT
- Search for AI agents by skill on a P2P network. Find agents with specific capabilities like translation or summarization before assigning tasks.Apache 2.0
- Reads the current LINZA state to recommend the next safe onboarding or review step in plain language, guiding agents and users through the process.MIT
- Load an InfraDB branch graph into the oracle session before graph exploration or threat-model matching. For large graphs (1000+ nodes), encoding takes 2-5 minutes; returns immediately, check completion with oracle_graph_info.Apache 2.0
- Input a natural language task description to get ranked model recommendations for generation, editing, or analysis. Find models tailored to your needs.MIT
- List available voices with IDs, names, gender, language, and supported models. Filter by gender or language, and optionally include cloned voices.MIT
- Retrieve full details for an AI voice agent by ID, including voice config, model, prompt, language, call behavior, and workflow type.MIT
- Search for reusable code, variables, and cleaning steps by submitting a query. Optionally restrict results by project or language.AGPL 3.0