MCP Workflow for Investor Relationship Tracking.
You met 47 investors at Demo Day, added them to two different CRMs, and now you have no idea who you followed up with, who went cold, and who your co-founder already emailed
Works with every AI agent you already use
…and any MCP-compatible client
Waiting for input…
Gemini How It Works
Your AI agent queries both Attio and Folk for investor contacts , names, emails, companies, last interaction date, notes, and pipeline stage.
It deduplicates: 'Sarah Kim from Sequoia appears in both Attio (added by CEO, last contacted May 28) and Folk (added by CTO, last contacted June 1).
Most recent interaction: CTO's email on June 1.' The Google Sheet becomes the single source of truth: every investor, their current status, who last contacted them, when, and what the next action should be.
The agent flags issues: 'John Chen from a16z , last contacted 21 days ago, was interested, needs follow-up. Warning: both CEO and CTO have notes about contacting him , coordinate before reaching out.' No more double-emails.
No more stale leads. No more 'I thought you were handling that investor.'
MCP Server Orchestration: 3 MCP Servers, one intelligent agent
Connect Attio, Folk and Google Sheets MCP servers so your AI agent reads relationship data from both Attio and Folk CRMs, deduplicates contacts across systems, and builds a unified investor pipeline dashboard in Google Sheets. Founding teams who split investor outreach across two CRMs , because the CEO uses Attio and the CTO prefers Folk , and lose track of who contacted whom, get a single source of truth that prevents double-emailing investors and surfaces stale relationships.
Attio
triggerReads relationship records, deal pipeline and engagement context from the primary CRM
query_records get_record list_objects search_records Folk
enrichmentPulls contact data, interaction notes and group assignments from the secondary CRM
list_contacts get_contact_details list_contact_notes list_interactions Google Sheets
actionBuilds the unified investor pipeline with deduplication, engagement tracking and follow-up alerts
append_sheet_values update_sheet_values get_spreadsheet create_spreadsheet Run This Automation Today
Connect Claude, ChatGPT, Cursor, or any AI agent to the Vinkius catalog and run this automation in minutes.
Build Your Own MCP
Turn any internal API into an MCP server. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Connect & Automate
The 3 servers this recipe uses are ready in the catalog. Connect them once, paste a prompt, and your AI runs the full workflow.
- Attio, Folk & Google Sheets ready in the catalog right now
- Add more from 4,700+ servers whenever you need
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers and recipes added every week
Superpowers you didn't know your AI had
The Vinkius catalog gives your agent access to 4,700+ MCP servers and the intelligence to combine them. Imagine never logging into another dashboard. Your AI handles the work across every tool, in one conversation. That's what this infrastructure was built for.
Cross-Platform Intelligence
Your agent doesn't just connect to tools. It understands the relationships between them. Data flows where it needs to go, automatically, with full context preserved across every platform.
Contextual Reasoning
Every decision your agent makes considers the full picture. It reads CRM data, checks calendars, reviews conversation history, and acts on everything at once. Not step by step. All at once.
Productivity at Scale
What used to take 45 minutes across five different dashboards now takes one sentence. Your agent runs the entire workflow end to end while you focus on decisions that actually matter.
Zero-Config Reliability
No API keys to paste. No webhooks to configure. No YAML to debug. Connect your MCP servers once, and your agent handles the rest. Every time, without intervention.
Made for
exactly this
Your AI agent taps into the entire Vinkius MCP catalog to handle these for you. You describe what you need. It does the rest.
Founding teams splitting investor outreach across multiple CRMs who need a unified pipeline view
Startup CEOs fundraising who want to prevent double-emailing investors and coordinate with co-founders
Accelerator cohort teams managing 50+ investor relationships who need follow-up tracking and stale lead alerts
VCs and angels managing deal flow across multiple relationship tools who need consolidated portfolio intelligence
Frequently Asked Questions About This MCP Server Orchestration
Which MCP servers do I need for this workflow?
Three: Attio, Folk and Google Sheets. Connect all three to your AI client before running any prompt from this page.
Does this work with Claude Desktop, Cursor or Windsurf?
Yes. Any AI client that supports the Model Context Protocol works , Claude Desktop, Cursor, Windsurf, Cline and others. Connect the MCP servers and paste a prompt.
We only use one CRM. Is this recipe useful?
If you only use Attio or Folk, you can still use this recipe for investor pipeline tracking in Google Sheets. The deduplication feature is most valuable when two systems are in use.
Is my investor data secure?
MCP servers authenticate through API keys. Attio and Folk data stays in your accounts. The Google Sheet is in your Drive. Vinkius does not store your investor or relationship data.
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Funding rounds sourced, deals logged in your CRM, pipeline dashboard built , stop losing deals to manual tracking
MCP Servers to Build Investor Pipeline Fast
Active investors identified, sector matches mapped, RSVP pipeline built , fill Demo Day with investors who actually write checks, not tourists
Scout Top Startups Before Demo Day via MCP
Every YC batch company scanned, traction signals ranked, top picks added to your pipeline , scout Demo Day before the crowd arrives
Source Executive Talent Using MCP Servers
Executives found, candidates tracked in your CRM, outreach emails sent , help your portfolio companies hire the leaders they need
Track Post-Demo Fundraising Progress via MCP
Term sheets tracked in real time, struggling founders identified, accelerator intros deployed , manage the 48-hour window after Demo Day that determines everything
MCP Servers to Automate LP Fundraising Outreach
LP prospects found, relationships tracked, commitment pipeline built , raise your fund without a placement agent
MCP servers used in this workflow
Attio
Attio MCP Server lets your AI agent manage all your CRM data. It lets you read, create, and update records for People, Companies, and Deals. You can list all data objects, query specific records by ID, or run fuzzy searches across your entire workspace using natural language. It's for anyone who needs to interact with structured sales data without clicking through dashboards.
folk
Folk MCP Server manages professional relationships by connecting your CRM to your AI client. You can list all contacts, track group memberships, and retrieve full interaction histories (emails, calls, meetings) from anywhere. It's a lightweight way to keep every client's data—from basic profile info to detailed notes—in one place, syncing it all from your AI agent.
Google Sheets
Google Sheets MCP Server lets your AI client read, write, and manage data directly in Google Sheets. Use conversational commands to pull data from specific ranges, append new rows, or structure entire spreadsheets. It acts as an analyst, letting you manipulate complex data without opening the GUI or writing formulas.