by clawdotnet · MCP Server · ★ 54
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SharpClaw Code SharpClaw Code is a C# and .NET-native coding agent runtime for teams building AI developer tools, agentic CLIs, and MCP-enabled workflows. It combines durable sessions, permission-aware tool execution, provider abstraction, structured telemetry, and an automation-friendly command-line surface in a runtime shaped for real .NET systems: explicit, testable, and operationally legible. The repository now ships both a terminal-first agent runtime and an embeddable host SDK through , which makes it viable for standalone CLIs, local editor backends, and tenant-aware embedded services. What It Is SharpClaw Code is an open-source runtime for building and operating coding-agent experiences in the .NET ecosystem. think claude code meets opencode in C# It is designed for: teams that want a C# coding agent runtime instead of stitching together ad hoc scripts developers building AI-powered CLI tools with strong machine-readable output products that need MCP integration, plugin discovery, and per
| Stars | 54 |
| Forks | 14 |
| Language | C# |
| Category | MCP Server |
| License | MIT |
| Quality Score | 65.8417193913595/100 |
| Last Updated | 2026-05-11 |
| Created | 2026-04-07 |
| Platforms | claude-code, cli, dotnet, mcp |
| Est. Tokens | ~91k |
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SharpClawCode is C# coding-agent harness (.NET 10, Microsoft Agent Framework) — sessions, tools, permissions, providers, MCP, plugins. It is categorized as a MCP Server with 54 GitHub stars.
SharpClawCode is primarily written in C#. It covers topics such as ai, anthropic, claude-code.
You can find installation instructions and usage details in the SharpClawCode GitHub repository at github.com/clawdotnet/SharpClawCode. The project has 54 stars and 14 forks, indicating an active community.
SharpClawCode is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to SharpClawCode on Agent Skills Hub include claude-code-open, palot, claude-historian-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.