GNU Radio
The GNU Radio MCP server provides AI assistants with direct access to GNU Radio's signal processing capabilities through the FastMCP protocol. This implementation creates a middleware layer between GNU Radio's core components and the MCP interface, enabling programmatic creation, manipulation, and validation of signal processing flowgraphs. The server exposes tools for managing blocks, connections, parameters, and flowgraph validation, allowing users to build complete radio applications without leaving their AI assistant context. Built with Python and leveraging GNU Radio's existing architecture, it's particularly valuable for software-defined radio enthusiasts, signal processing engineers, and researchers who want to prototype and test radio systems through natural language interactions.
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 2026-09-01.
Scan details: Circle-IR · 2026-09-01 · 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/yoelbassin/gr-mcp
- Author type
- human
- Last scanned
- 2026-09-01
- Updated
- 2026-09-01
Use via MCP
Resolve GNU Radio 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.