List your Teamwork Chat conversations with optional filters for type, status, sort, search, and latest message.
MIT
306,569 tools. Last updated 2026-07-25 14:29
"Creating a Memory Database for LLM Chat Conversations" matching MCP tools:
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- Send a message in an ongoing LinkedIn chat conversation. Meant for existing chats with connections; for new chats, use the start chat tool.MIT
- Delete stored in-memory chat history for a conversation ID to start a fresh thread. Resets server-side memory without changing the ID.MIT
- Detect installed local LLM provider folders to enable optional chat import from these sources.Apache 2.0
- Retrieve recent Zendesk Chat conversations ordered by latest first, to review end-of-day transcripts or locate a specific chat by visitor name.MIT
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One memory, every AI. A shared, user-owned markdown memory your AI clients read and write over MCP.
- List Zendesk Chat conversations with pagination. Use cursor, fields, and filter parameters to refine results.MIT
- Preserve facts, decisions, and project context across conversations by creating durable markdown memories with structured metadata for easy retrieval.MIT
- Export chat conversations from Cursor in JSON, CSV, or Graph formats for analysis, visualization, or integration with external tools.MIT
- Import WhatsApp chat export .txt files to add your conversations into a searchable memory, enabling AI assistants to access your communication history.MIT
- Retrieve recent Microsoft Teams conversations including 1:1 chats and group discussions with participant details and chat topics.MIT
- Retrieve and filter chat conversations from FluentCommunity with options to search by user ID, thread status, and limit results for efficient management.MIT
- Chat with Gemini AI for conversations, questions, and general assistance with learned user preferences. Use this tool to ask questions or get help through Claude Desktop.MIT
- Archive chat conversations in Open WebUI to organize and manage chat history, using chat IDs to identify specific conversations for archiving.MIT
- Send chat messages to a vLLM server for multi-turn conversations with configurable model parameters and token limits.Apache 2.0
- Chat with Gemini AI using text and up to 10 reference images to maintain multi-turn conversations with visual context.MIT
- Retrieve the SAP memory session status for any chat room to monitor active sessions and participant connections.MIT
- Chat with AI agents for cryptocurrency research, trading analysis, market data queries, and general assistance through multi-turn conversations.
- Indicate agent or AI bot typing status in live chat conversations. Sends typing indicator to let visitors know a response is being composed.MIT
- Generates a comprehensive context file to display the server's current state, memory, and capabilities, enabling instant LLM awareness when referenced in conversations.MIT