Zig
This Zig MCP server, developed to enhance AI capabilities with Zig-specific functionality, provides tools for code optimization, compute unit estimation, code generation, and best practices recommendations. It integrates with the Model Context Protocol SDK and leverages GitHub's API for accessing popular Zig repositories. The server stands out by offering language-specific features like optimization level selection and comptime analysis. It's particularly useful for AI assistants and developers working with Zig, enabling them to generate, analyze, and optimize Zig code efficiently, as well as access curated language resources and documentation.
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
- version-control
- Source
- PulseMCP
- Repository
- github.com/opensvm/zig-mcp-server
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Zig 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.