About Building Intelligent Apps With Anaconda
Building Intelligent Apps With Anaconda is an MCP server in the Agents category: 10-part module to build AI-native apps. From data analysis to multi-agent model harness. For curious learners and serious AI builders.
Install
git clone https://github.com/Anaconda-Labs/building-intelligent-apps-with-anacondaThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Tools (19)
Anaconda MCP ServerMCP tool exposure for Anaconda ecosystem
Parameters not published.
Anaconda PlatformModel Catalog, Governance, CVE policy, Model Servers
Parameters not published.
BeeWareNative mobile/desktop apps in Python
Parameters not published.
BrevOn-demand GPU instance provisioning
Parameters not published.
CUDA Python 1.0Direct CUDA kernel access from Python
Parameters not published.
DuckDBEmbedded vector store for agent memory
Parameters not published.
LangGraphAgent loop and multi-agent coordination
Parameters not published.
Metaflow 2.18+ML/AI workflow orchestration with per-step `@conda`
Parameters not published.
NemoClawSandboxed agent runtime (NVIDIA, alpha CLI)
Parameters not published.
NemotronNVIDIA open-weight model family (via HuggingFace + vLLM)
Parameters not published.
Show all 19 tools
Panel / HoloVizReactive web app framework on top of Bokeh
Parameters not published.
PolarsFast DataFrame manipulation
Parameters not published.
PyScriptPython in the browser via WebAssembly
Parameters not published.
PydanticTyped, validated, JSON-serialisable pipeline outputs
Parameters not published.
anaconda-auditCVE scanning against NVD/NIST
Parameters not published.
conda-lockfilesReproducible cross-platform lock files
Parameters not published.
conda-packPortable environment tarballs for air-gap deployment
Parameters not published.
conda-pypiSafer PyPI wheel integration (experimental, Q1 2026)
Parameters not published.
vLLMOpenAI-compatible self-hosted GPU inference server
Parameters not published.
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