ChipsAI MCP Server vs Replicate

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

ChipsAI MCP Server logoChipsAI MCP ServerConversational AI · Local subprocess (stdio)MCP server for ChipsAI — manage chatbots, conversations, and AI models47FairAuth: not declaredReplicate logoReplicateConversational AI · Local subprocess (stdio)Replicate MCP.57GoodAuth: not declared

Verdict: choose ChipsAI MCP Server for conversational ai work as a local process; choose Replicate 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?

ChipsAI MCP Server logoChoose ChipsAI MCP Server when

  • You need dedicated capabilities in the Conversational AI domain.
  • You prefer a local stdio subprocess transport.
  • You have the keys it needs: CHIPSAI_API_KEY, CHIPSAI_API_URL, CHIPSAI_USERNAME, CHIPSAI_PASSWORD.
  • You want tools like list_chatbots, get_chatbot, create_chatbot.
Explore ChipsAI MCP Server

Replicate logoChoose Replicate when

  • You need dedicated capabilities in the Conversational AI domain.
  • You prefer a local stdio subprocess transport.
  • You have the keys it needs: PLATFORM_REPLICATE_KEY.
  • You want tools like list_models, model, model_versions.
Explore Replicate

Feature & specification comparison

Rows where the two servers differ are marked.

SpecChipsAI MCP Server logoChipsAI MCP ServerReplicate logoReplicate
CategoryConversational AIConversational AI
Quality signal47/100 · Fair57/100 · Good
Install commandConfirmedConfirmed
TransportLocal subprocess (stdio)Local subprocess (stdio)
AuthNot declaredNot declared
PricingNot declaredNot declared
Required env varsCHIPSAI_API_KEYCHIPSAI_API_URLCHIPSAI_USERNAMECHIPSAI_PASSWORDPLATFORM_REPLICATE_KEY
Verified ownerCommunity listingCommunity listing
GitHub stars00
Directory activity 1 views 0 installs 0 upvotes 1 views 0 installs 0 upvotes
Tools2516

Tools & capabilities

ChipsAI MCP Server tools 25

  • list_chatbotsList all chatbots for the authenticated user
  • get_chatbotGet full chatbot details (prompt, model, colors, etc.)
  • create_chatbotCreate a new chatbot (returns embed script tag)
  • update_chatbotUpdate chatbot fields (name, prompt, model, theme, colors, etc.)
  • delete_chatbotSoft-delete (deactivate) a chatbot
  • get_chatbot_configGet public widget configuration
  • get_chatbot_analyticsGet analytics: messages, sessions, daily stats, devices, countries
  • upload_documentUpload PDF/DOC/DOCX to a chatbot's knowledge base (LlamaParse)
  • list_conversationsList conversations, optionally filtered by chatbot
  • create_conversationCreate a new conversation
  • get_conversationGet conversation details
  • update_conversationUpdate conversation title
  • +13 more on the listing page

Replicate tools 16

  • list_modelsList all public models available on Replicate, paginated via cursor; returns owner, name, description, run count, and latest version id for each model.
  • modelFetch metadata for a specific Replicate model by owner and name, including description, visibility, run count, latest version, and GitHub URL.
  • model_versionsList all published versions of a Replicate model by owner and name; returns version ids, creation timestamps, and input/output schema for each version.
  • model_versionFetch full metadata for a specific Replicate model version by owner, name, and version_id, including the complete input/output OpenAPI schema and Cog version.
  • search_modelsSearch public Replicate models by keyword query; returns matching models with owner, name, description, and run count.
  • collectionsList all curated Replicate model collections (e.g. "text-to-image", "speech-to-text"); returns collection slug, name, and description.
  • collectionFetch models belonging to a specific Replicate collection by slug (e.g. "text-to-image"); returns the collection description and a list of model objects.
  • create_predictionStart a Replicate model run by submitting a version id and input object; returns a prediction id and status that can be polled with the prediction tool until output is ready.
  • predictionPoll the status and retrieve output for a Replicate prediction by id; returns status (starting/processing/succeeded/failed/canceled), output URLs, and logs.
  • list_predictionsList your recent Replicate predictions in reverse chronological order, paginated via cursor; returns prediction id, model version, status, and creation timestamp.
  • cancel_predictionCancel a prediction.
  • list_deploymentsList your Replicate model deployments (dedicated, auto-scaled endpoints), paginated via cursor; returns owner, name, current model version, and scaling config.
  • +4 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.

ChipsAI MCP Server

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "chipsai-mcp-server": {
      "command": "uvx",
      "args": [
        "chipsai-mcp"
      ],
      "env": {
        "CHIPSAI_API_KEY": "YOUR_CHIPSAI_API_KEY_HERE",
        "CHIPSAI_API_URL": "YOUR_CHIPSAI_API_URL_HERE",
        "CHIPSAI_USERNAME": "YOUR_CHIPSAI_USERNAME_HERE",
        "CHIPSAI_PASSWORD": "YOUR_CHIPSAI_PASSWORD_HERE"
      }
    }
  }
}

Replicate

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

Frequently asked questions

ChipsAI MCP Server is categorized under Conversational AI and uses a local stdio subprocess. Replicate belongs to Conversational AI and uses a local stdio subprocess. Pick ChipsAI MCP Server for conversational ai work and Replicate 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.

ChipsAI MCP Server has no declared pricing — check the project's own site. Replicate 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 chipsai-mcp-server and replicate as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, ChipsAI MCP Server has a quality signal of 47/100 (Fair) with 1 views, 0 installs and 0 GitHub stars. Replicate has 57/100 (Good) with 1 views, 0 installs and 0 GitHub stars.