Store user facts, preferences, decisions, and context for persistent recall across conversations. Enables AI agents to remember important information through semantic search and knowledge graphs.
MIT
260,400 tools. Last updated 2026-07-05 06:11
"A tool for storing chat conversations and generating knowledge graphs" matching MCP tools:
- Fetch the Teamwork Chat conversations the current user is a member of, with optional filtering by status, type, search, and sort.MIT
- Retrieve a paginated list of conversations for a bot, filterable by status, to manage and review chat histories.MIT
- Create a searchable knowledge tool for retrieving documents. Integrates selected knowledge folders into a custom tool for RAG-based document search.MIT
- Retrieve and filter knowledge graphs to obtain graph IDs and node information for subsequent operations like adding edges or querying node details.MIT
- Send a message in an ongoing LinkedIn chat conversation. Meant for existing chats with connections; for new chats, use the start chat tool.MIT
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- AlicenseAqualityDmaintenanceA 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
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- Add nodes to knowledge graphs for organizing components, events, requirements, or concepts. Supports multiple graph types including topology, timelines, and knowledge bases.MIT
- Find related Grokipedia articles linked from a specific page to explore connected topics, build knowledge graphs, or conduct follow-up research.MIT
- Compute PageRank centrality, Louvain communities, critical paths, and bottlenecks in directed graphs to identify influential nodes, clusters, and chokepoints.MIT
- Retrieve a list of available reporting graphs and their identifiers for system monitoring.MIT
- Analyze MCP server security by generating a JSON report of tool registrations, call graphs with security classifications, sensitive data flows, and per-file capabilities. Use before installation.MIT
- Retrieve live chat transcripts, newest first, for end-of-day reviews or locating a recent chat by visitor name.MIT
- Save and retrieve knowledge entries across sessions. Store solutions, patterns, errors, references, or decisions, and search before storing to prevent duplicates.MIT
- Export chat conversations from Cursor in JSON, CSV, or Graph formats for analysis, visualization, or integration with external tools.MIT
- Retrieve chat message history for a specific flow, enabling review of past interactions and debugging of conversations.MIT
- Chat with local LLMs using conversation history, system messages, tool calling, and adjustable generation settings.AGPL 3.0
- Retrieve and display iMessage conversations with metadata including participants, message counts, and recent activity previews for organized message management.MIT
- Analyze a local codebase by walking directory trees, extracting function signatures and docstrings, and optionally generating API reference documentation or dependency graphs to extract code knowledge.MIT
- Use this tool to perform web searches and engage in interactive conversations. Maintain context with optional chat IDs for follow-ups, ensuring accurate and informed responses.GPL 3.0
- Find relevant knowledge graph entities across all projects by searching entity names, types, and observation contentMIT