How to Use the Cacheflow MCP in Claude Code

Q: Can I pipe Cacheflow outputs to other CLI tools using Claude Code?

Yes. You can instruct Claude Code to run listproposals and pipe the JSON output into local terminal utilities like jq to filter and format the data.

Run Cacheflow sales pipelines from your terminal with Claude Code headless automation.

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Connect Cacheflow MCP to Claude Code

Create your Vinkius account to connect Cacheflow to Claude Code and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Cacheflow with Claude Code

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Draft Cacheflow proposals via Claude Code

Run `create_proposal` directly through Claude Code to spin up new sales contracts without opening a browser. The terminal agent reads the output, extracts the proposal ID, and lets you pipe that data into local deployment scripts. This MCP integration makes it simple to automate billing setups alongside your server deployments.

Automate CRM synchronization via CLI

Execute `sync_to_crm` to push your offline sales records to your CRM database in a single terminal command. You can chain this tool with `list_proposals` to scan for unsynced drafts and push them in batches. This MCP tool handles the API handshake, ensuring your backend records match the latest contract revisions.

Track pending approvals using the CLI

Monitor your deal pipeline by calling `get_approval_requests` on the MCP Server to fetch all pending sign-offs directly in your shell. To investigate a block, run `get_proposal_details` to pull the contract terms into your terminal buffer. This gives you instant visibility into pricing terms without requiring a GUI.

Setup guide

Set up Cacheflow MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see cacheflow-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Cacheflow transactions." It will automatically discover and invoke the available Cacheflow tools.

Terminal

claude mcp add --transport http cacheflow-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Cacheflow MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "cacheflow-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Cacheflow. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Cacheflow MCP in Claude Code

Run the add command with the transport HTTP flag and paste your Vinkius endpoint URL. Use the list command to verify the installation was successful.

Yes. You can instruct Claude Code to run `list_proposals` and pipe the JSON output into local terminal utilities like jq to filter and format the data.

Run the list command within your terminal to view active endpoints. This displays all available tools and their current status.

The CLI agent automatically parses and escapes the JSON strings required by `create_proposal`. You provide the raw parameters in plain text, and the agent formats the payload correctly.

Your authorization credentials are secure within the Vinkius gateway and local configuration file. Proposal details and customer records are transmitted over encrypted tunnels directly to your secure endpoints.

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