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Add governance, prompt scanning, and observability to local Ollama LLMs.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "AI Guardian" MCP server from askskill: Run: claude mcp add 'io-github-aiops-tools-ai-guardian' -- npx -y ai-guardian-aiops
Developers or platform teams using Ollama-hosted local LLMs can use it to inspect model policies and governance controls, reducing unmanaged usage risks.
Before connecting prompts to local model workflows, teams can scan them to catch potential policy or security issues early.
When local model responses are abnormal or unstable, its observability features help inspect execution clues and support troubleshooting.
It is an MCP tool that adds governance and observability for local LLMs running on Ollama. The provided description also mentions model policy, prompt scanning, and 18 tools.
Based on the description, it targets local Ollama environments, so you at least need Ollama for running local models. For exact installation or dependency details, see the source repository.
Its focus is not just calling a model, but adding governance and observability layers, including model policy and prompt scanning. For further differences, see the source repository.
Offload low-cost AI tasks to local Ollama models and save cloud spend.
Connect Claude to local Ollama models for private offline AI collaboration.
Track multi-provider LLM API spend locally and expose it via MCP.
Connect local Ollama to MCP apps for chat, model management, and generation.
Audit and observe Claude Code transcripts locally for governance at turn level.
Connect Ollama Cloud models to MCP for chat, search, and web fetching.