Gemini vs Openrouter

A side-by-side look at the Gemini and Openrouter MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.

Gemini logoGeminiConversational AI · Local subprocess (stdio)Model Context Protocol server for Google Gemini AI with chat, research, and grounding61GoodAuth: not declaredOpenrouter logoOpenrouterConversational AI · Local subprocess (stdio)OpenRouter Models MCP.56GoodAuth: not declared

Verdict: choose Gemini for conversational ai work as a local process; choose Openrouter 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?

Gemini logoChoose Gemini when

  • You need dedicated capabilities in the Conversational AI domain.
  • You prefer a local stdio subprocess transport.
  • You have the keys it needs: GEMINI_API_KEY.
  • You want tools like gemini_chat, gemini_deep_research, gemini_list_models.
Explore Gemini

Openrouter logoChoose Openrouter when

  • You need dedicated capabilities in the Conversational AI domain.
  • You prefer a local stdio subprocess transport.
  • You want tools like list_models, get_model, compare_models.
Explore Openrouter

Feature & specification comparison

Rows where the two servers differ are marked.

SpecGemini logoGeminiOpenrouter logoOpenrouter
CategoryConversational AIConversational AI
Quality signal61/100 · Good56/100 · Good
Install commandConfirmedConfirmed
TransportLocal subprocess (stdio)Local subprocess (stdio)
AuthNot declaredNot declared
PricingNot declaredNot declared
Required env varsGEMINI_API_KEYNone listed
Verified ownerCommunity listingCommunity listing
GitHub stars340
Directory activity 1 views 0 installs 0 upvotes 1 views 0 installs 0 upvotes
Tools143

Tools & capabilities

Gemini tools 14

  • gemini_chatChat with Gemini 4 Argon. Google Search grounding on by default. Supports `thinking_level
  • gemini_deep_researchGrounded search passes on Flash, synthesised into a report by 3.1 Pro. Default 2 passes
  • gemini_list_modelsLists the models your API key can see, live
  • gemini_helpDocumentation for every tool without leaving Claude
  • gemini_prompt_assistantExpert guidance for image generation with nine chart design systems
  • generate_imageImage generation with optional search grounding. Full-res saved to disk
  • edit_imageEdit images with natural-language instructions. Multi-turn continuity via thought signatures
  • describe_imageFast image descriptions on Gemini 3.8 Flash
  • analyze_imageStructured extraction and analysis on Gemini 3.1 Pro
  • load_image_from_pathRead a local image file and return base64 for any image tool
  • generate_videoVideo generation with Veo 3.1: 4 to 8 seconds at up to 4K with native audio
  • generate_svgProduction-ready SVG: diagrams, illustrations, icons, data visualisations
  • +2 more on the listing page

Openrouter tools 3

  • list_modelsList LLMs from the OpenRouter catalog (~340 models across all major providers) with normalized $/1M-token pricing, context windows, and modality. Filter by search, free-only, minimum context, or modality (e.g. "image" for vision models). Sorted cheapest-first by completion price. Keyless.
  • get_modelGet full details for one OpenRouter model by id — normalized $/1M pricing (prompt, completion, plus per-request/image/web-search costs), context window, modality, supported parameters, tokenizer, knowledge cutoff. e.g. id "anthropic/claude-sonnet-4.5". Keyless.
  • compare_modelsSide-by-side comparison of pricing ($/1M tokens), context window, and modality for 2-5 OpenRouter models. Answers "is claude-sonnet-4.5 cheaper than gpt-4o". Keyless.

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.

Gemini

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "gemini-2": {
      "command": "npx",
      "args": [
        "-y",
        "@houtini/gemini-mcp"
      ],
      "env": {
        "GEMINI_API_KEY": "YOUR_GEMINI_API_KEY_HERE"
      }
    }
  }
}

Openrouter

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "openrouter": {
      "command": "npx",
      "args": [
        "-y",
        "@pipeworx/mcp-openrouter"
      ]
    }
  }
}

Frequently asked questions

Gemini is categorized under Conversational AI and uses a local stdio subprocess. Openrouter belongs to Conversational AI and uses a local stdio subprocess. Pick Gemini for conversational ai work and Openrouter 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.

Gemini has no declared pricing — check the project's own site. Openrouter 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 gemini-2 and openrouter as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Gemini has a quality signal of 61/100 (Good) with 1 views, 0 installs and 34 GitHub stars. Openrouter has 56/100 (Good) with 1 views, 0 installs and 0 GitHub stars.