Seamlessly connect your favorite AI tools to Taghash via the Model Context Protocol (MCP). Surface rich, contextual data to revolutionize your analysis, reporting, and daily workflows.
The Model Context Protocol (MCP) empowers your AI tools, like Claude or OpenAI models, to securely access and utilize contextual information directly from your Taghash workspace.
Imagine your AI effortlessly generating insightful one-pagers, drafting follow-up plans, scheduling reminders, enriching deal data, analyzing portfolio MISes, and even composing emails – all with the deep understanding of your firm's unique data. That's the power MCP brings to Taghash.
Claude: Offers robust and well-integrated support, providing a seamless experience.
OpenAI: An early alpha version is under active experimentation. We'll update this page as full support rolls out.
Microsoft & Google: Both have announced upcoming support for MCP, expanding your choices further.
Please be aware that to ensure the privacy of your proprietary Taghash data and to avoid AI Provider's rate limits, you might need to subscribe to Pro or Team (paid) plans with your AI provider. These premium plans typically offer:
Always review your AI provider's terms of service and data usage policies.
node --version.{
"mcpServers": {
"Taghash": {
"command": "npx",
"args": ["mcp-remote", "https://taghash.io/api/mcp/shttp"]
}
}
}For a visual walkthrough, check out our step-by-step video guide:
Who am I? It should respond with your name and organization's name from Taghash.Unlock a new level of productivity by leveraging Taghash data directly within your AI assistant. Here are just a few examples of what you can achieve:
At Taghash, we are committed to the highest standards of data security and privacy. Our MCP integration is built with these principles at its core.
Taghash is an Enterprise SaaS platform that is SOC2 Certified, demonstrating our commitment to robust security controls.
Your AI tool can only access data you explicitly authorize. You remain in full control.
Your Taghash credentials are never passed through or stored by the AI tool. Access is granted via short-lived, secure tokens.
The AI tool inherits your existing permissions within Taghash. It cannot access anything you don't already have access to.
While we've built robust security into the Taghash MCP server, following these precautions will further safeguard your sensitive information:
When using Taghash MCP, turn off all other MCP servers in your AI tool. Your organization's data on Taghash is highly sensitive. A malicious third-party MCP server could potentially perform a Tool Poisoning attack, leading to unauthorized actions. Taghash is not responsible for actions performed due to other MCP servers.
Carefully review and verify all actions your AI tool proposes, especially those that modify or add data to Taghash (e.g., updating deals, sending emails). While it may be tempting to click "Allow Always" on consent popups, exercise caution. Always ensure you are aware of and approve any data-altering operations.
While AI models (as of 2025) are significantly more reliable, Large Language Models (LLMs) are probabilistic and can still "hallucinate" or generate incorrect information. Always review any reports, emails, or notes generated by the AI before making critical decisions or sharing them. Taghash is not liable for issues arising from LLM hallucinations.
Before integrating Taghash MCP with any AI provider, it is crucial to:
Proactive communication and due diligence of your AI toolkit are key to maintaining a secure environment when leveraging powerful AI integrations like Taghash MCP.