Adapter to expose MCPO, the MCP-to-OpenAPI proxy server, tools in Ollama-compatible format
Adapter to expose MCPO, the MCP-to-OpenAPI proxy server, tools in Ollama-compatible format. That is what the 🦙 ollama mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
adapter = OllamaMCPOAdapter(host="localhost", port=5090, config_path="/path/to/mcp_config.json") # Gets tool descriptions from MCPO FastAPI /docs tools = adapter.list_tools_ollama() ``` You can omit the config path. But discovery of MCP server names is more reliable with a provided config. Otherwise, the server names will be read from the automatically generated OpenAPI docs MCPO provides which might change in the future.
Configuration is passed through the environment: WIN_NODEJS_NPX_PATH. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
The server ships on npm as path, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.
Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. It is maintained by tappi287; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against 🦙 Ollama's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
{
"mcpServers": {
"ollama-mcpo-adapter": {
"command": "npx",
"args": ["-y", "path"],
"env": {
"WIN_NODEJS_NPX_PATH": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| WIN_NODEJS_NPX_PATH | Filesystem location the server is allowed to use. | Optional |
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