by ziglana
blazigly fast gRPC/MCP client & server implementation in zig
# Add to your Claude Code skills
git clone https://github.com/ziglana/gRPC-zigGuides for using mcp servers skills like gRPC-zig.
Last scanned: 5/30/2026
{
"issues": [],
"status": "PASSED",
"scannedAt": "2026-05-30T16:19:05.803Z",
"npmAuditRan": true,
"pipAuditRan": true
}gRPC-zig is an open-source mcp servers skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by ziglana. blazigly fast gRPC/MCP client & server implementation in zig. It has 141 GitHub stars.
Yes. gRPC-zig passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/ziglana/gRPC-zig" and add it to your Claude Code skills directory (see the Installation section above).
gRPC-zig is primarily written in Zig. It is open-source under ziglana on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other MCP Servers skills you can browse and compare side by side. Open the MCP Servers category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh gRPC-zig against similar tools.
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A blazingly fast gRPC client & server implementation in Zig, designed for maximum performance and minimal overhead.
const std = @import("std");
const GrpcServer = @import("grpc-server").GrpcServer;
pub fn main() !void {
var gpa = std.heap.GeneralPurposeAllocator(.{}){};
defer _ = gpa.deinit();
const allocator = gpa.allocator();
// Create and configure server
var server = try GrpcServer.init(allocator, 50051, "secret-key");
defer server.deinit();
// Register handlers
try server.handlers.append(allocator, .{
.name = "SayHello",
.handler_fn = sayHello,
});
// Start server
try server.start();
}
fn sayHello(request: []const u8, allocator: std.mem.Allocator) ![]u8 {
_ = request;
return allocator.dupe(u8, "Hello from gRPC-zig!");
}
See examples/basic_server.zig for a complete example.
const std = @import("std");
const GrpcServer = @import("grpc-server").GrpcServer;
pub fn main() !void {
var gpa = std.heap.GeneralPurposeAllocator(.{}){};
defer _ = gpa.deinit();
const allocator = gpa.allocator();
var server = try GrpcServer.init(allocator, 50051, "secret-key");
defer server.deinit();
try server.start();
}
See examples/basic_client.zig for a complete example.
const std = @import("std");
const GrpcClient = @import("grpc-client").GrpcClient;
pub fn main() !void {
var gpa = std.heap.GeneralPurposeAllocator(.{}){};
defer _ = gpa.deinit();
const allocator = gpa.allocator();
var client = try GrpcClient.init(allocator, "localhost", 50051);
defer client.deinit();
const response = try client.call("SayHello", "World", .none);
defer allocator.free(response);
std.debug.print("Response: {s}\n", .{response});
}
All features are demonstrated in the examples/ directory:
zig fetch --save git+https://github.com/ziglana/gRPC-zig#main
build.zig:const grpc_zig_dep = b.dependency("grpc_zig", .{
.target = target,
.optimize = optimize,
});
// For server development
exe.root_module.addImport("grpc-server", grpc_zig_dep.module("grpc-server"));
// For client development
exe.root_module.addImport("grpc-client", grpc_zig_dep.module("grpc-client"));
const GrpcServer = @import("grpc-server").GrpcServer;
const GrpcClient = @import("grpc-client").GrpcClient;
Clone the repository and add it to your build.zig.zon:
.{
.name = "my-project",
.version = "0.1.0",
.dependencies = .{
.grpc_zig = .{
.url = "https://github.com/ziglana/gRPC-zig/archive/refs/heads/main.tar.gz",
// Replace with actual hash after first fetch
.hash = "...",
},
},
}
Benchmarked against other gRPC implementations (ops/sec, lower is better):
gRPC-zig │████████░░░░░░░░░░│ 2.1ms
gRPC Go │██████████████░░░░│ 3.8ms
gRPC C++ │████████████████░░│ 4.2ms
The repository includes a built-in benchmarking tool to measure performance:
# Build the benchmark tool
zig build
# Run benchmarks with default settings
zig build benchmark
# Run with custom parameters
./zig-out/bin/grpc-benchmark --help
./zig-out/bin/grpc-benchmark --requests 1000 --clients 10 --output json
# Or use the convenient script
./scripts/run_benchmark.sh
Benchmark Options:
--host <host>: Server host (default: localhost)--port <port>: Server port (default: 50051)--requests <n>: Number of requests per client (default: 1000)--clients <n>: Number of concurrent clients (default: 10)--size <bytes>: Request payload size (default: 1024)--output <format>: Output format: text|json (default: text)Benchmark Metrics:
The benchmarks automatically run in CI/CD on every pull request and provide performance feedback.
Run the unit test suite:
zig build test
The test suite covers:
Run integration tests with a Python client validating the Zig server:
cd integration_test
./run_tests.sh
Or manually:
# Build and start the test server
zig build integration_test
./zig-out/bin/grpc-test-server
# In another terminal, run Python tests
cd integration_test
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
python3 test_client.py
The integration tests validate:
📖 Integration Test Documentation
Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.
This project is licensed under the Unlicense - see the LICENSE file for details.
If you find this project useful, please consider giving it a star on GitHub to show your support!
Made with ❤️ in Zig