by synth-laboratories · MCP Server · ★ 80
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Synth AI SDK Python SDK and CLI for Synth infrastructure surfaces: tunnels, pools, and hosted containers. Documentation: https://docs.usesynth.ai/sdk/overview Installation Or install with pip: Authenticate Set before using the SDK or CLI: Local Workspaces For local multi-repo development, treats workspace resolution as a read-only overlay. and Synth home config may provide defaults and secrets; selecting a worktree must not rewrite those defaults. Use or for command-scoped worktree resolution. The resolver in returns repo paths and a scoped env mapping for subprocesses without mutating . Pass when you need to pin a production, local, staging, or private backend explicitly: The CLI also reads and accepts . Quickstart
| Stars | 80 |
| Forks | 8 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 70.1540787705252/100 |
| Open Issues | 5 |
| Last Updated | 2026-06-26 |
| Created | 2024-09-12 |
| Platforms | mcp, python |
| Est. Tokens | ~14k |
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synth-ai is Synth Python SDK for Managed Research, Research Factory, and GEPA/GELO optimizer workflows.. It is categorized as a MCP Server with 80 GitHub stars.
synth-ai is primarily written in Python. It covers topics such as gelo, gepa, llm-agents.
You can find installation instructions and usage details in the synth-ai GitHub repository at github.com/synth-laboratories/synth-ai. The project has 80 stars and 8 forks, indicating an active community.
synth-ai is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to synth-ai on Agent Skills Hub include langchainjs-mcp-adapters, agent-skills, bitbucket-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.