Claude Chat vs Grok Chat
A side-by-side look at the Claude Chat and Grok Chat MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Claude Chat for conversational ai work over a hosted endpoint; choose Grok Chat for conversational ai. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Claude Chat when
- You need dedicated capabilities in the Conversational AI domain.
- You prefer a remote HTTP/SSE transport.
- You want tools like
chat, chat_with_vision, chat_with_search.
Choose Grok Chat when
- You need dedicated capabilities in the Conversational AI domain.
- You want tools like
chat, chat_with_vision, chat_with_search.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Conversational AI | Conversational AI |
| Quality signal | 49/100 · Fair | 43/100 · Fair |
| Install command | Confirmed | Not confirmed yet |
| Transport | Remote HTTP/SSE | — |
| Auth | Not declared | Not declared |
| Pricing | Not declared | Not declared |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 0 |
| Directory activity | 1 views 0 installs 0 upvotes | 0 views 0 installs 0 upvotes |
| Tools | 13 | 17 |
| Full listing | View Claude Chat | View Grok Chat |
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 sendsystem_promptSystem prompt to set context/behaviourmessagesConversation 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
Grok Chat tools 17
chatSend a chat completion request to Grok with optional multi-turn history, system prompt, structured output (JSON schema), model selection, and multi-agent researchchat_with_visionAnalyse an image with Grok's vision capabilities given an image URL and text promptchat_with_searchChat with Grok using live web search and/or X (Twitter) search to ground responsesembeddingGenerate text embeddings using Grok's embedding modellist_modelsList all available Grok models and their IDs (cached for 5 minutes)promptThe user message to sendmodelModel ID (default: `grok-4.3`). Call `list_models` for the current set.system_promptSystem prompt to set contextmessagesFull conversation history as JSON array of `{role, content}` objectstemperatureSampling temperature (0.0 - 2.0)max_tokensMaximum tokens to generateresponse_schemaJSON schema string to enforce structured output- +5 more on 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.
Claude Chat
{
"mcpServers": {
"claude-chat": {
"url": "https://api.anthropic.com/v1"
}
}
}
Grok Chat
No confirmed install command for Grok Chat yet — follow the setup steps linked from its listing page rather than a guessed package name.
Frequently asked questions
Claude Chat is categorized under Conversational AI and uses a remote HTTP/SSE transport. Grok Chat belongs to Conversational AI and uses an install path we have not confirmed yet. Pick Claude Chat for conversational ai work and Grok Chat 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. Grok Chat has no confirmed install command yet — follow its own setup instructions.
Claude Chat has no declared pricing — check the project's own site. Grok Chat 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 grok-chat 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 49/100 (Fair) with 1 views, 0 installs and 0 GitHub stars. Grok Chat has 43/100 (Fair) with 0 views, 0 installs and 0 GitHub stars.