AI Wave vs Deepseek MCP Server
A side-by-side look at the AI Wave and Deepseek MCP Server MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose AI Wave for aggregators work as a local process; choose Deepseek MCP Server for aggregators as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose AI Wave when
- You need dedicated capabilities in the Aggregators domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
AIWAVE_API_KEY. - You want tools like
list_model_changes, get_model, search_models.
Choose Deepseek MCP Server when
- You need dedicated capabilities in the Aggregators domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: API key required.
- You have the keys it needs:
DEEPSEEK_API_KEY. - You want tools like
deepseek_chat, deepseek_fim, deepseek_sessions.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Aggregators | Aggregators |
| Quality signal | 52/100 · Good | 61/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | API key required |
| Pricing | Not declared | BYOK (pay the provider) |
| Required env vars | AIWAVE_API_KEY |
Tools & capabilities
AI Wave tools 3
list_model_changesWhat changed since I last checked? Poll with `since`, feed back `latest`.get_modelPrice, context and catalog status for one model (OpenRouter or Hugging Face id).search_modelsWhich models fit this budget and context, ordered by current attention?
Deepseek MCP Server tools 3
deepseek_chatChat with DeepSeek AI models with automatic cost tracking and function calling support.deepseek_fimFill-in-the-Middle completion. You give a `prompt` (the prefix) and an optional `suffix`, and the model completes the text in between. It is built for code completion and content infilling rather than conversation. FIM runs on DeepSeek's Beta endpoint in non-thinking mode, and the API caps output a…deepseek_sessionsManage conversation sessions.
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.
AI Wave
{
"mcpServers": {
"ai-wave": {
"command": "npx",
"args": [
"-y",
"@elopstudio/ai-wave-mcp"
],
"env": {
"AIWAVE_API_KEY": "YOUR_AIWAVE_API_KEY_HERE"
}
}
}
}
Deepseek MCP Server
{
"mcpServers": {
"arikusi-deepseek-mcp-server": {
"command": "npx",
"args": [
"-y",
"@arikusi/deepseek-mcp-server"
],
"env": {
"DEEPSEEK_API_KEY": "YOUR_DEEPSEEK_API_KEY_HERE"
}
}
}
}
Frequently asked questions
AI Wave is categorized under Aggregators and uses a local stdio subprocess. Deepseek MCP Server belongs to Aggregators and uses a local stdio subprocess. Pick AI Wave for aggregators work and Deepseek MCP Server for aggregators.
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.
AI Wave has no declared pricing — check the project's own site. Deepseek MCP Server is bring-your-own-key: usage is billed by the API provider you supply a key for. Auth: api key required. 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 ai-wave and arikusi-deepseek-mcp-server as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, AI Wave has a quality signal of 52/100 (Good) with 0 views, 0 installs and 0 GitHub stars. Deepseek MCP Server has 61/100 (Good) with 5 views, 0 installs and 21 GitHub stars.