Cacheflow Connector for AI agents.
6 live capabilities
Manage SaaS quotes and CRM syncs through natural language commands.
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Why people use Cacheflow
Cacheflow for SaaS Sales Proposal Automation
This Connector changes that by putting your entire proposal pipeline inside your AI client. You can ask for a status update, trigger a CRM sync, or pull a customer list without ever leaving your chat window. You get a unified view of your revenue flow without the manual overhead.
What Vinkius changes
You get a hands-free way to manage your entire sales proposal and CRM sync workflow.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
The 'Where is the signature?' check
An AE asks their agent if the Acme Corp doc was viewed.
- Real-world use case 02
The 'CRM is messy' fix
A Sales Ops lead notices a discrepancy in HubSpot.
- Real-world use case 03
The 'Quick Quote' request
A rep needs a quote for a new lead.
Complete set · 6capabilities
The complete Cacheflow capability set.
These are the exact actions your AI can choose when you ask it to work with Cacheflow.
01—03
3 capabilities in this set.
Part of 6 available through Cacheflow.
- 01 Capability
Get proposal details
Get specific metadata and status for a single sales proposal. This helps you track buyer interactions in real time.
- 02 Capability
List customers
Pull a complete list of external customers from your CRM. This keeps your customer data accessible to your agent.
- 03 Capability
List proposals
Get a full list of all sales proposals currently in your account. This provides a bird's-eye view of your pipeline.
04—06
3 capabilities in this set.
Part of 6 available through Cacheflow.
- 04 Capability
Create proposal
Generate a new sales proposal by passing data as a JSON string. This makes it easy to build quotes on the fly.
- 05 Capability
Get approval requests
View all pending internal approvals to keep the signing pipeline moving. Use this to spot bottlenecks quickly.
- 06 Capability
Sync to crm
Push proposal data to your connected CRM instance. This ensures your records stay clean without manual entry.
Set up in minutes
One URL. Then ask Cacheflow to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Cacheflow from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_kGJO5OSsDochA3Kgf21fsaliNwTMT6b7WfrsBbE2/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Cacheflow, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Cacheflow for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_kGJO5OSsDochA3Kgf21fsaliNwTMT6b7WfrsBbE2/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Cacheflow URL.
- Step 03
Save and start
Save the connection and enable Cacheflow in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"cacheflow": {
"url": "https://edge.vinkius.com/vk_preview_kGJO5OSsDochA3Kgf21fsaliNwTMT6b7WfrsBbE2/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Cacheflow
Open Agent mode in chat and ask: "Using Cacheflow, help me...". 6 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"cacheflow": {
"url": "https://edge.vinkius.com/vk_preview_kGJO5OSsDochA3Kgf21fsaliNwTMT6b7WfrsBbE2/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Cacheflow
Ask Copilot: "Using Cacheflow, help me...". 6 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"cacheflow": {
"url": "https://edge.vinkius.com/vk_preview_kGJO5OSsDochA3Kgf21fsaliNwTMT6b7WfrsBbE2/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Cacheflow
Open Cascade and ask: "Using Cacheflow, help me...". 6 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"cacheflow": {
"url": "https://edge.vinkius.com/vk_preview_kGJO5OSsDochA3Kgf21fsaliNwTMT6b7WfrsBbE2/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Cacheflow
Ask Cline: "Using Cacheflow, help me...". 6 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add cacheflow --transport http "https://edge.vinkius.com/vk_preview_kGJO5OSsDochA3Kgf21fsaliNwTMT6b7WfrsBbE2/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Cacheflow
Ask Claude: "Using Cacheflow, show me...". 6 tools are ready
Where the request belongs
Work Cacheflow can move forward.
This is for the sales ops lead who's tired of manual data entry and the account executive who wants to spend more time selling and less time chasing signatures.
Sales Operations Lead
Uses the Connector to monitor approval queues and pull proposal summaries for weekly reports without opening a browser.
Account Executive
Creates professional quotes and triggers CRM syncs instantly while talking to clients.
Finance Manager
Checks the transition from proposal to active checkout to ensure billing stays on track.
Build the capability set
Add more capabilities.
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Bring your own AI
Change the model, client or framework. Keep Cacheflow connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Cacheflow.
The practical details behind the request, access and result.
Can the Cacheflow MCP sync my data to Salesforce?
Yes, it pushes proposal data directly to your connected CRM instance. This keeps your records updated automatically without manual entry.
How does the Cacheflow MCP help me close deals faster?
It automates the boring stuff like status checking and CRM syncing. This allows you to focus on the buyer and move deals through the funnel quicker.
Can I use the Cacheflow MCP to see if a customer viewed my quote?
Yes, your agent can pull status metadata like 'viewed' or 'signed' in real time. You can check this via simple natural language commands.
Does the Cacheflow MCP handle internal approvals?
It lets you see pending requests for things like VP signatures or special discounts. You can monitor the internal signing pipeline easily.
Is the Cacheflow MCP good for SaaS companies?
It is built specifically for SaaS proposal-to-cash workflows and subscription management, making it ideal for high-velocity sales cycles.
Can I create new quotes using the Cacheflow MCP?
Your agent can generate new sales proposals by passing in the necessary deal data. This helps you create professional quotes on the fly.
How do I find my Cacheflow API Key?
Log in to your dashboard, navigate to Settings > API, and generate or copy your secret access token.
What is my subdomain in Cacheflow?
Your subdomain is the first part of your Cacheflow URL. For example, if you access at acme.getcacheflow.com, your subdomain is acme.
Can I trigger a CRM sync via AI?
Yes! Use the sync_to_crm capability and provide a specific proposal ID to immediately push data to your connected Salesforce or HubSpot instance.
One connection away
Give your agent a direct line to Cacheflow.
Connect Cacheflow once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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