Real-Time Account Intelligence: Introducing the intellisell MCP Server
We are thrilled to announce that the official intellisell Model Context Protocol (MCP) Server is now live!
As modern sales, growth, and engineering teams move their workflows closer to AI-native workflows, context-switching between your dashboard and your AI tools slows you down. Starting today, you can bridge that gap seamlessly. By hooking our new MCP server into your favorite local AI assistants, you give them direct, real-time access to your account intelligence and business signals.
What is the intellisell MCP Server?
The Model Context Protocol (MCP) is an open standard that allows AI models to safely and structurally interface with external data sources and tools. The intellisell MCP server exposes your dashboard data as functional tools that your AI agent can call autonomously based on your prompts.
Instead of copy-pasting company profiles or manually cross-referencing tech stacks, your AI assistant can now pull this data instantly behind the scenes.
Capabilities at a Glance
With the MCP server configured, your local AI assistant gains direct access to four core pillars of the intellisell ecosystem:
Account Intelligence: Instantly pull company profiles, fit scores, executive summaries, key personnel, and tech stack configurations.
Buying Signals: Track real-time buying signals backed by our proprietary time-decayed scoring mechanism.
Deep Research: Instruct your AI client to spin up entirely new company research loops completely out of your terminal or chat box.
Dashboard Metrics: Stay on top of macro trends with immediate summaries of total accounts, high-fit targets, and rolling average scores.
Available Tools for Your AI Assistant
When you connect the server, the following tools become natively available to your AI client:
| Tool | Description |
| list_accounts | List all tracked accounts with fit scores and signal counts. |
| get_account_detail | Full account 360: overview, financials, people, tech stack, fit scores. |
| get_account_fit | Detailed 8-dimension ICP fit score breakdown. |
| get_account_strategies | AI-generated account plans and outreach strategies. |
| get_dashboard_metrics | Dashboard summary (total accounts, high-fit, avg score, active signals). |
| list_signals | Intelligence feed with search, filters, and pagination capabilities. |
| get_account_signals | Signals for a specific company. |
| deep_research | Start a deep research loop on a brand new company domain. |
Client Configuration
Setting up your environment takes less than 60 seconds. Best of all, no API keys are needed! On first use, your AI client will automatically open a secure browser window for you to log in with your intellisell credentials and approve access.
💻 Claude Code (CLI)
Claude Code supports remote HTTP/SSE connections directly from your terminal session. Run the following configuration command to add intellisell as an active project/user resource:
Bash
claude mcp add intellisell --transport http https://mcp.intellisell.ai/mcp
To verify the activation status across your workspace paths, run:
Bash
claude mcp list
(If prompted with ! Needs authentication, simply run your next prompt and a secure browser authorization window will open automatically for login).
Claude Desktop
Add the server configuration directly to your local config path (~/.config/claude/claude_desktop_config.json):
JSON
{
"mcpServers": {
"intellisell": {
"url": "https://mcp.intellisell.ai/mcp"
}
}
}
🛠️ Claude Web Application (Custom Connectors)
You can now map remote data streams straight into your primary chat canvas on Claude.ai:
Open your workspace settings and navigate to Customize → Connectors.
Click the + or Add Connectors panel, then select Add custom connector.
Fill out the registration fields using these properties:
Name: intellisell
Click Add, complete the secure browser single sign-on challenge, and click Approve.
🚀 Cursor
Navigate to Settings → Features → MCP and click Add New MCP Server. Enter the server parameters using the SSE option:
Name: intellisell
Server URL: https://mcp.intellisell.ai/mcp
🌪️ Windsurf
Open your Windsurf settings and add the target link as a public internet source:
💎 Codex
Codex provides high-fidelity native support for external telemetry via Streamable HTTP transports:
Launch Codex and open your application Settings from the menu dropdown.
Select MCP servers from the configuration sidebar.
Click + Add server underneath the Custom Servers window.
Set up the input variables exactly as follows:
Name: intellisell
Transport Type: Streamable HTTP
URL: [https://mcp.intellisell.ai/mcp](https://mcp.intellisell.ai/mcp)
Click Save, then look for the server in your active list and select Authenticate to approve client permissions via your browser.
What Can You Ask Your AI Now?
Once configured, try pulling live data with prompts like:
"Look at my intellisell dashboard metrics and summarize our top high-fit accounts."
"Check if there are any active buying signals for example.com and pull their tech stack."
"I need to reach out to domain.com. Pull their account strategies and draft a personalized intro email based on their executive summary."
Experience a completely unified workflow where your account data flows straight to the models powering your daily applications.
Connect your server today and bring your account intelligence right into your workspace!