Securely connect MCP clients to local Ollama models with RAG and caching.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Ollama MCP Proxy" yet — see the docs or source repo.
Explain how to deploy Ollama MCP Proxy to connect my MCP client to a local Ollama model, including basic configuration steps, port setup, and security recommendations.
A deployment and configuration guide with connection flow, sample settings, and basic security recommendations.
Help me design a RAG configuration for Ollama MCP Proxy so a local model can use our team knowledge base, and explain how to set context management and caching strategies.
A knowledge-base QA configuration plan including RAG flow, context control, and caching strategy recommendations.
Create a production security hardening checklist for Ollama MCP Proxy covering authentication, access control, audit logging, secret management, and network isolation.
An actionable security hardening checklist suitable for pre-launch review and operations.
Connect Ollama to MCP clients for real-time web search and content fetching.
Connect local Ollama to MCP apps for chat, model management, and generation.
Securely proxy OAuth for MCP servers to connect with Claude and ChatGPT.
Manage multiple MCP servers and load tool schemas on demand efficiently.
Offload token-heavy development tasks to local Ollama models and save API usage.
Enable non-vision AI clients to analyze images with local Ollama vision models.