Loading…
Run AI models like Llama, Qwen, and Gemma on every computer you own, and manage them for everyone on your network. Local first, with OpenAI- and Anthropic-compatible APIs, people and roles, and MCP.
toskar-core is an MCP server entry in ChatHome Skills, sourced from GitHub MCP Search and scored 31/100. Run AI models like Llama, Qwen, and Gemma on every computer you own, and manage them for everyone on your network. Local first, with OpenAI- and Anthropic-compa. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding toskar-core to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
git clone https://github.com/yeixio/toskar-core.gitReview the upstream source before running this command.
Downloads a script and pipes it straight into a shell, executing remote code with no review.
curl -fsSL https://github.com/yeixio/toskar-core/releases/latest/download/install.sh | shDispute this flag?Scan coverage: Install metadata and repository README.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
{
"fullName": "yeixio/toskar-core"
}Run AI models like Llama, Qwen, and Gemma on every computer you own, and manage them for everyone on your network. Local first, with OpenAI- and Anthropic-compatible APIs, people and roles, and MCP.