Claude Chat vs Openrouter

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

Claude Chat logoClaude ChatConversational AIAnthropic Claude Messages API MCP server — chat, vision, web search, extended thinking43FairAuth: not declaredOpenrouter logoOpenrouterConversational AI · Local subprocess (stdio)OpenRouter Models MCP.56GoodAuth: not declared

Verdict: choose Claude Chat for conversational ai work; 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?

Claude Chat logoChoose Claude Chat when

  • You need dedicated capabilities in the Conversational AI domain.
  • You want tools like chat, chat_with_vision, chat_with_search.
Explore Claude Chat

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.

SpecClaude Chat logoClaude ChatOpenrouter logoOpenrouter
CategoryConversational AIConversational AI
Quality signal43/100 · Fair56/100 · Good
Install commandNot confirmed yetConfirmed
Transport—Local subprocess (stdio)
AuthNot declaredNot declared
PricingNot declaredNot declared
Required env varsNone listedNone listed
Verified ownerCommunity listingCommunity listing
GitHub stars00
Directory activity 3 views 0 installs 0 upvotes 1 views 0 installs 0 upvotes
Tools133

Tools & capabilities

Claude Chat tools 13

  • chatSend a message to Claude. Supports multi-turn history, a system prompt, model selection, and **extended thinking** via `thinking_budget`.
  • chat_with_visionAnalyse an image given an image URL and a text prompt.
  • chat_with_searchChat with live **web search** — Claude searches server-side and answers with cited sources.
  • list_modelsList available Claude models and their IDs (cached for 5 minutes).
  • promptThe user message to send
  • system_promptSystem prompt to set context/behaviour
  • messagesConversation history as a JSON array of `{role, content}` objects (roles: `user`/`assistant` only — use `system_prompt` for system instructions)
  • modelModel ID (default: server default, `claude-opus-4-8`). Call `list_models`.
  • temperatureSampling temperature (0.0–1.0). Ignored when `thinking_budget` is set.
  • max_tokensMax tokens to generate (defaults to the server default)
  • thinking_budgetEnable extended thinking with this token budget (min 1024). Reasoning is returned in a `[thinking]` block; `max_tokens` is auto-raised above the budget.
  • image_urlURL of the image (must be `http://` or `https://`)
  • +1 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.

Claude Chat

No confirmed install command for Claude Chat yet — follow the setup steps linked from its listing page rather than a guessed package name.

Openrouter

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

Frequently asked questions

Claude Chat is categorized under Conversational AI and uses an install path we have not confirmed yet. Openrouter belongs to Conversational AI and uses a local stdio subprocess. Pick Claude Chat 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. Claude Chat has no confirmed install command yet — follow its own setup instructions.

Claude Chat 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 claude-chat and openrouter as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Claude Chat has a quality signal of 43/100 (Fair) with 3 views, 0 installs and 0 GitHub stars. Openrouter has 56/100 (Good) with 1 views, 0 installs and 0 GitHub stars.