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Call your local Ollama or vLLM model over MCP with schema-validated JSON output
npx @getmcp/cli add io.github.setheerwagen/mcp-ollama-vllmRequires Python 3.10+. Community-contributed server. Review source before installing.
Config file: ~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"io.github.setheerwagen/mcp-ollama-vllm": {
"command": "uvx",
"args": [
"mcp-ollama-vllm"
],
"env": {
"LOCAL_BACKEND": "ollama",
"LOCAL_HOST": "",
"LOCAL_API_KEY": "",
"LOCAL_TIMEOUT": "600",
"LOCAL_EMBED_MODEL": "nomic-embed-text",
"LOCAL_EMBED_PATH": "/v1/embeddings",
"LOCAL_SCHEMA_MODE": "auto"
}
}
}
}Remote MCP server for Tandem docs, install guides, SDKs, workflows, and agent setup help.
Ephemeral data sandbox for AI workflows with guardrails and security
MCP server for Anki flashcards: adaptive review, notes, media, and deck management via AnkiConnect.
AI memory layer — one shared, persistent memory across every AI tool you connect.