thyn-ai/algenta-sdk
by Various
Python and TypeScript SDKs for Algenta — self-hosted building blocks for AI applications. 6,000+ deterministic functions on custom Mojo kernels behind one API, SDK and MCP surface;
MCP
thyn-ai/algenta-sdk
Added 23 Sept 2026
Overview
Python and TypeScript SDKs for Algenta, a self-hosted set of building blocks for AI applications. The SDKs expose 6,000+ deterministic functions running on custom Mojo kernels through a single API, SDK, and MCP surface. The engine is proprietary, while the SDKs, API contract, and examples are Apache-2.0 licensed.
Best for
Best for
Developers building self-hosted AI applications that need deterministic, reusable functions
Use cases
- Integrate deterministic functions into AI application workflows
- Self-host AI building blocks without learning a new language
- Expose functions to agents via the MCP surface
How to use
Install
pip install algenta-mcp Notes
Python and TypeScript SDKs for Algenta, a self-hosted set of building blocks for AI applications. The SDKs expose 6,000+ deterministic functions running on custom Mojo kernels through a single API, SDK, and MCP surface. The engine is proprietary, while the SDKs, API contract, and examples are Apache-2.0 licensed.
0 stars on GitHub. Last updated 2026-09-23. Licensed Apache-2.0.
Use cases
- Integrate deterministic functions into AI application workflows
- Self-host AI building blocks without learning a new language
- Expose functions to agents via the MCP surface
Pros
- Open-source SDKs and API contract under Apache-2.0
- Large library of 6,000+ deterministic functions
- Supports both Python and TypeScript
Cons
- Proprietary engine limits full transparency
- Zero GitHub stars suggests minimal community adoption
- Requires custom Mojo kernels for execution
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Open-source SDKs and API contract under Apache-2.0
- Large library of 6,000+ deterministic functions
- Supports both Python and TypeScript
Cons
- Proprietary engine limits full transparency
- Zero GitHub stars suggests minimal community adoption
- Requires custom Mojo kernels for execution
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
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