Delete stored in-memory chat history for a conversation ID to start a fresh thread. Resets server-side memory without changing the ID.
MIT
133,484 tools. Last updated 2026-05-25 12:08
"Creating a Memory Database for LLM Chat Conversations" matching MCP tools:
- Chat with DeepSeek AI for general conversations. Supports multi-turn sessions, function calling, and multimodal input for flexible interaction.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
- 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 using text and up to 10 reference images to maintain multi-turn conversations with visual context.MIT
- Send chat messages to a vLLM server for multi-turn conversations with configurable model parameters and token limits.Apache 2.0
Matching MCP Servers
@git-fabric/chatofficial
FlicenseAquality-maintenanceAn AI conversation management layer that enables creating chat sessions, persisting message history to GitHub, and performing semantic searches over past interactions. It supports multi-turn threading and context injection to integrate external memory sources into Claude conversations.Last updated12- AlicenseAqualityCmaintenanceA server that enables users to chat with each other by repurposing the Model Context Protocol (MCP), designed for AI tool calls, into a human-to-human communication system.Last updated45MIT
Matching MCP Connectors
Search, order, and manage eSIM data packages for 190+ countries.
Cloudflare Workers MCP server: agent-memory
- Archive chat conversations in Open WebUI to organize and manage chat history, using chat IDs to identify specific conversations for archiving.MIT
- Generate a comprehensive context file capturing the server's current state, memory, and capabilities, creating .mcp-server-context.md for instant LLM awareness.MIT
- Generate a detailed LLM context file documenting all tools, memory system, and workflows for easy @-reference.MIT
- Create a text-based chat agent by configuring LLM engines and webhooks for conversational AI applications.
- Timeout users in Twitch chat for moderation. Specify a username or descriptor like 'toxic' or 'spammer' with a reason. Without username, returns recent chat for review.
- List all Microsoft Teams chat conversations.
- Batch fetch conversations for bulk analysis with token efficiency, enabling streamlined retrieval of multiple conversation records.MIT
- Permanently delete a memory by its ID to remove outdated, incorrect, or irrelevant entries from the local database. Action is irreversible and returns success status.MIT
- Retrieve available agents for recruitment into chat rooms, optionally excluding those already in a specific chat.
- Update an existing memory by modifying only the fields you provide. Correct inaccuracies, adjust importance, or reclassify category without deleting. Omitted fields remain unchanged.MIT
- Extract all messages from a NotebookLM chat and save them as a formatted note with timestamps and attribution. Use this to preserve conversations or create summaries.MIT
- Define relationships between memories by creating a directed link from one memory to another.MIT
- Create a chat room with you as owner. Optionally associate the chat with a task ID for context.
- Retrieve all users and agents participating in a specific chat room. Provide a chat ID to get the list of participants.