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Adds hybrid retrieval, reasoning-tree search, and agent memory via MCP.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "FusionPact MCP Server" yet — see the docs or source repo.
Explain how to configure FusionPact MCP Server for Claude Desktop, and show how an agent can use hybrid vector retrieval and memory to answer follow-up questions across a conversation.
Step-by-step configuration guidance plus an example showing retrieval and memory across a multi-turn conversation.
I want to build an MCP-compatible knowledge assistant. Design a call flow using FusionPact's reasoning-tree retrieval, explaining when to use vector retrieval, when to use tree-based reasoning retrieval, and how to return the final answer.
A clear retrieval decision flow including tool-calling logic and answer generation strategy.
Design a long-term memory approach with FusionPact MCP Server for storing user preferences, past tasks, and key conclusions, and explain best practices for reading and writing memory.
A memory structure design and practical operating guidance for agent workflows.
Run background multi-model deliberation to produce higher-quality synthesized AI answers.
Expose modular retrieval and reasoning tools to AI assistants through MCP.
Query structured data in natural language without needing SQL or API expertise.
Help MCP clients remember preferences and retrieve key context across chats.
Turn unstructured documents into a searchable knowledge base for AI agents.
Give AI assistants persistent memory, semantic search, and layered context management.