WayStation MCP Server

What does “WayStation” MCP Server do?

WayStation MCP Server is a universal remote Model Context Protocol (MCP) server designed to connect AI assistants like Claude, ChatGPT, and others with a wide variety of productivity tools, including Notion, Monday, AirTable, Jira, Slack, and more. By acting as a secure, no-code integration hub, WayStation enables AI clients to perform tasks such as querying databases, managing files, and interacting with external APIs and services. This seamless integration enhances development workflows by providing AI assistants with the ability to automate, analyze, and optimize tasks across numerous productivity platforms, all while maintaining security and flexibility for end users.

List of Prompts

No information about prompt templates is provided in the repository or documentation.

List of Resources

No explicit details about MCP “resources” provided by the WayStation MCP Server are available in the documentation or repository.

List of Tools

No specific tool list (e.g., query_database, read_write_file, call_api) is provided in the repository’s accessible files or documentation.

Use Cases of this MCP Server

• Project Management
  Connects AI assistants to project management tools (like Notion, Monday, Asana, Jira) for automating task tracking, updating statuses, and managing deliverables, streamlining project workflows.

• Task Automation
  Enables automation of repetitive tasks across connected productivity apps, reducing manual overhead and freeing up developer time for higher-level work.

• Meeting Summaries & Action Items
  Integrates with calendar and communication platforms to summarize meetings, extract action items, and distribute them to relevant team members automatically.

• Workflow Automation & Process Optimization
  Allows AI clients to coordinate actions across multiple platforms, enabling complex workflows (e.g., updating a status in Jira when a document is approved in Google Docs).

• Team Collaboration Assistant
  Bridges gaps between collaboration tools like Slack, Teams, and Google Drive, allowing AI to facilitate communication, document sharing, and team coordination.

How to set it up

Windsurf

1. Ensure prerequisites are installed (e.g., Node.js, access to Windsurf, and your unique WayStation MCP URL from your dashboard).
2. Locate the Windsurf MCP server configuration interface.
3. Add the WayStation MCP server using the unique endpoint from your WayStation dashboard.
4. Save your configuration and restart Windsurf if necessary.
5. Verify the connection by running a test integration.

JSON Configuration Example:

{
  "mcpServers": {
    "WayStation": {
      "command": "npx",
      "args": [
        "@waystation-ai/mcp@latest",
        "--url",
        "https://waystation.ai/mcp/<user_unique_id>"
      ]
    }
  }
}

Claude

1. Go to Claude Settings > Integrations.
2. Click “Add Integration”.
3. Enter “WayStation” as the Server Name and provide your unique MCP URL from the WayStation dashboard.
4. Save the integration.
5. Test the setup by triggering an AI workflow involving a connected app.

Cursor

1. Go to Cursor Settings > MCP tab.
2. Click “Add new global MCP server”.
3. Edit your mcp.json file to include WayStation, using your unique URL.
4. Save the file and restart Cursor.
5. Confirm connectivity by invoking a supported tool.

JSON Configuration Example:

{
  "WayStation": {
    "url": "https://waystation.ai/mcp/<user_unique_id>"
  }
}

Cline

1. Open the MCP Server screen in Cline.
2. Switch to the Remote Servers tab.
3. Enter “WayStation” as the Server Name and your unique MCP URL.
4. Save your settings.
5. Verify by running a test action involving a connected integration.

Securing API Keys
It is recommended to secure API keys using environment variables. Example JSON configuration with environment variables:

{
  "WayStation": {
    "url": "https://waystation.ai/mcp/<user_unique_id>",
    "env": {
      "NOTION_API_KEY": "${NOTION_API_KEY}"
    },
    "inputs": {
      "notionDatabaseId": "your-database-id"
    }
  }
}

Note: Replace NOTION_API_KEY and your-database-id with your actual credentials. Environment variables should be set securely outside the configuration file.

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "WayStation": {
    "transport": "streamable_http",
    "url": "https://waystation.ai/mcp/<user_unique_id>"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “WayStation” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Between the two tables, WayStation MCP offers strong integration and setup documentation, but lacks transparency on prompt templates, concrete tools, and resources, which are important for developer adoption and trust. Its support for securing API keys and detailed platform coverage are plus points. I would rate this MCP server a 5 out of 10, mostly for its integration utility and documentation clarity, but with significant gaps in technical transparency.

MCP Score