A side-by-side look at the OceanToken and Onde Inference CLI MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose OceanToken for conversational ai work as a local process; choose Onde Inference CLI for conversational ai as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose OceanToken when
You need dedicated capabilities in the Conversational AI domain.
No tool names declared yet. Check the project README from the listing page.
Onde Inference CLI tools
No tool names declared yet. Check the project README from the listing page.
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
OceanToken is categorized under Conversational AI and uses a local stdio subprocess. Onde Inference CLI belongs to Conversational AI and uses a local stdio subprocess. Pick OceanToken for conversational ai work and Onde Inference CLI for conversational ai.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
OceanToken has no declared pricing — check the project's own site. Onde Inference CLI has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add oceantoken and onde-inference-cli as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, OceanToken has a quality signal of 43/100 (Fair) with 0 views, 0 installs and 0 GitHub stars. Onde Inference CLI has 40/100 (Fair) with 1 views, 0 installs and 1 GitHub stars.