NSAF (Neuro-Symbolic Autonomy Framework)
NSAF MCP Server provides AI assistants with access to the Neuro-Symbolic Autonomy Framework, focusing on Self-Constructing Meta-Agents (SCMA) that can evolve and optimize their neural network architectures through generations. The server exposes tools for running evolutionary processes with customizable parameters and comparing different agent architectures, enabling AI assistants to leverage advanced neural architecture search capabilities without requiring deep expertise in evolutionary algorithms. Built with TensorFlow and designed to work seamlessly with Claude Desktop and Cline, this implementation is particularly valuable for researchers and developers exploring autonomous AI systems that can self-design and adapt to different problem domains.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- search
- Source
- PulseMCP
- Repository
- github.com/ariunbolor/nsaf-mcp-server
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve NSAF (Neuro-Symbolic Autonomy Framework) from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.