$ loading_
Access advanced cognitive analytics for causal discovery, topology, and belief updating.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "AGI Cognitive MCP Server" yet — see the docs or source repo.
Use the AGI Cognitive MCP Server to perform causal discovery on this experimental dataset, identify likely causal structures among key variables, and summarize the main findings and uncertainties in plain language.
A set of candidate causal structures, explanations of key variables, and a concise summary with uncertainties.
Use the AGI Cognitive MCP Server to run topological data analysis on these high-dimensional samples, identify latent clusters, loop-like structures, or anomalous patterns, and explain what they may represent.
An overview of topological features, pattern interpretations, and explanations of anomalies or structural signals.
Use the AGI Cognitive MCP Server to perform Gaussian process belief updating based on new observations and run a thermodynamic audit, explaining how predictions changed and whether any energy or consistency issues were detected.
Updated predictions, reasons for the changes, and audit findings with risk notes.
Intelligent RAG tool that chooses between private knowledge and web search.
Securely connect AI agents to PostgreSQL with role-based database access.
Manage Cognigy.AI agents via MCP for building, configuration, and operations.
Analyze and manage software architecture graphs for impact, dependencies, and design decisions.
Conduct structured multi-step web research and generate comprehensive reports automatically.
Search, audit, and install open-source AI skills and MCP servers.