artefact-mcp-server
Revenue intelligence MCP server: RFM analysis, 14.5-point ICP scoring, pipeline health scoring. Embe...
Open the FastMCP connection modal
- Click the "Install Now" button to open the FastMCP connection / environment variables form.
Set HUBSPOT_API_KEY (HubSpot private app token)
- Log in to your HubSpot account with a Super Admin user.
- Go to Settings → Integrations → Private Apps (or search “Private Apps” in Settings).
- Click “Create private app”, give it a name (e.g., “Artefact MCP”), set an expiration if desired, and grant the scopes the MCP needs (at minimum: read access to CRM objects such as Contacts, Companies and Deals, and any content/analytics scopes you want analysed).
- Create the app and copy the generated token immediately (it is shown only once).
- Paste that token into the FastMCP field named HUBSPOT_API_KEY in the connection modal.
(Optional — Pro/Enterprise) Set ARTEFACT_LICENSE_KEY
- Purchase or retrieve your Artefact license from your Artefact account (the README’s “Purchase a license” link or your vendor portal).
- Copy the license key provided (email or account page).
- Paste the key into the FastMCP field named ARTEFACT_LICENSE_KEY.
(Optional — Pro/Enterprise) Configure ARTEFACT_PROPERTY_MAPPING_PATH
- On a machine with the repo files (or clone the repository), copy one of the example mapping files:
- property_mapping.example.json or property_mapping.minimal.example.json
- Example: cp property_mapping.minimal.example.json my_property_mapping.json
- Edit my_property_mapping.json to match your HubSpot custom property names (tech_stack, growth_signals, content_engagement, etc.).
- Make the file available to the environment the MCP server will run in (use an absolute path or a path inside the container).
- In the FastMCP connection modal, set ARTEFACT_PROPERTY_MAPPING_PATH to the absolute path of your my_property_mapping.json (for example: /home/you/configs/my_property_mapping.json).
- On a machine with the repo files (or clone the repository), copy one of the example mapping files:
(Optional — Pro/Enterprise) Configure ARTEFACT_RFM_THRESHOLDS_PATH
- Copy the example thresholds file from the repo (rfm_thresholds.example.json).
- Example: cp rfm_thresholds.example.json my_rfm_thresholds.json
- Edit my_rfm_thresholds.json to set recency, frequency, and monetary thresholds appropriate for your business.
- Ensure the file is accessible to the MCP runtime and set ARTEFACT_RFM_THRESHOLDS_PATH in the FastMCP form to the file’s absolute path.
- Copy the example thresholds file from the repo (rfm_thresholds.example.json).
Save and install / start the MCP server
- After filling the required fields in the FastMCP connection interface, click the modal’s Save / Install / Start button to launch the Artefact MCP server.
If you don’t want to connect live yet
- Leave HUBSPOT_API_KEY empty (or skip it). The tools will work with built-in demo data by using source="sample".
Notes / tips
- Tokens are shown only once when generated — copy immediately.
- Use absolute paths for *_PATH variables so the MCP process can read the files.
- If you encounter “Server disconnected” when using uvx, prefer the python3 -m artefact_mcp command or provide the full uvx path in your runtime settings before installing.
Quick Start
Choose Connection Type for
Authentication Required
Please sign in to use FastMCP hosted connections
Run MCP servers without
local setup or downtime
Access to 1,000+ ready-to-use MCP servers
Skip installation, maintenance, and trial-and-error.
No local setup or infra
Run MCP servers without Docker, ports, or tunnels.
Always online
Your MCP keeps working even when your laptop is off.
One secure URL
Use the same MCP from any agent, anywhere.
Secure by default
Encrypted connections. Secrets never stored locally.
Configuration for
Environment Variables
Please provide values for the following environment variables:
HTTP Headers
Please provide values for the following HTTP headers:
started!
The MCP server should open in . If it doesn't open automatically, please check that you have the application installed.
Copy and run this command in your terminal:
Make sure Gemini CLI is installed:
Visit Gemini CLI documentation for installation instructions.
Make sure Claude Code is installed:
Visit Claude Code documentation for installation instructions.
Installation Steps:
Configuration
Installation Failed
More for AI and Machine Learning
View All →Blender
Experience seamless AI-powered 3D modeling by connecting Blender with Claude AI via the Model Context Protocol. BlenderMCP enables two-way communication, allowing you to create, modify, and inspect 3D scenes directly through AI prompts. Control objects, materials, lighting, and execute Python code in Blender effortlessly. Access assets from Poly Haven and generate AI-driven models using Hyper3D Rodin. This integration enhances creative workflows by combining Blender’s robust tools with Claude’s intelligent guidance, making 3D content creation faster, interactive, and more intuitive. Perfect for artists and developers seeking AI-assisted 3D design within Blender’s environment.
Video & Audio Text Extraction
Extracts text from videos and audio files across platforms like YouTube, Bilibili, TikTok, Instagram, Twitter/X, Facebook, and Vimeo using Whisper speech recognition for transcription, content analysis, and accessibility improvements.
Video Edit (MoviePy)
MoviePy-based video editing server that provides comprehensive video and audio processing capabilities including trimming, merging, resizing, effects, format conversion, YouTube downloading, and text/image overlays through an in-memory object store for chaining operations efficiently.
Qwen Code
Bridges Qwen's code analysis capabilities through CLI integration, providing file-referenced queries with @filename syntax, automatic model fallback, and configurable execution modes for code review, codebase exploration, and automated refactoring workflows.
More for Analytics and Data
View All →
Meta Ads
Remote
Unlock AI-driven insights and control for your Meta ad campaigns across Facebook and Instagram. Meta Ads MCP enables large language models to analyze performance, visualize creatives, and provide strategic recommendations through a unified interface. Manage campaigns, ad sets, and ads with actionable feedback on budget allocation, targeting, and creative improvements. Compatible with any MCP client and supports comprehensive campaign management on all Meta platforms. Leverage automated monitoring, creative optimization, and detailed performance metrics to maximize your advertising impact effortlessly.
Gemini CLI
Integrates with Google's Gemini CLI to leverage massive token windows for analyzing large files and codebases, providing general queries, sandbox-mode code execution for safe testing, and structured response handling with behavioral flags for context control.
Excel
Unlock powerful Excel automation with this MCP server that reads and writes Excel files effortlessly. It supports text, formulas, sheet creation, and works with XLSX, XLSM, XLTX, and XLTM formats. Windows users benefit from live editing and screen capture features. The server offers tools to describe sheets, read cell ranges with pagination, write values or formulas, create tables, and copy sheets. Configurable paging limits help manage large data efficiently. Designed for seamless Excel data manipulation, it enhances workflow automation and integration with other systems through the Model Context Protocol.
Similar MCP Servers
astro-airflow-mcp
An MCP server that enables AI assistants to interact with Apache Airflow's REST API for DAG management, task monitoring, and system diagnostics. It provides comprehensive tools for triggering workflows, retrieving logs, and inspecting system health across Airflow 2.x and 3.x versions.