Taghash launches AI-integrated MCP Server for VC and PE firms

The MCP (Model Context Protocol) Server acts as a secure bridge between AI copilots like OpenAI, Claude, and Microsoft Copilot, and internal fund operations.

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Gyan Vardhan
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Taghash

Taghash, a SaaS platform that powers venture capital, private equity, and family office workflows, has launched its new Venture Capital MCP Server, a first of its kind integration that enables AI agents to securely access and interact with live fund data.

The MCP (Model Context Protocol) Server acts as a secure bridge between AI copilots like OpenAI, Claude, and Microsoft Copilot, and internal fund operations. It allows firms to query, analyze, and act on real time data across deal flow, CRM, MIS, LP engagement, and portfolio tracking.

Taghash counts over 60 firms as clients, including Blume Ventures, A91 Partners, Elevar Equity, and 360.one. With this launch, these users can now connect their workflows directly to AI systems without risking data leaks or hallucinations, as the server operates entirely within existing login and role based access controls.

Clients can deploy the MCP Server in minutes using Node.js. The integration supports structured data entry, automated report generation, and smart insights while eliminating the need for third party plugins or manual processes.

The platform has been built with enterprise grade compliance including SOC 2 certification, short lived tokens, and explicit consent for AI driven changes. According to Blume Ventures and Avaana Capital, the system has significantly improved data handling and AI reliability.

Taghash aims to become a full stack operating system for investment teams, and the MCP Server is a key step toward that vision. It enables faster, safer, and more intelligent decision making powered by governed AI.

The company is also offering prebuilt templates and prompt libraries for immediate adoption.

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