How to Research Investor Portfolio Fit with Copilot
Research investor portfolio fit with Copilot and ToolRouter. Investor data for startup platforms.
Tool
Copilot pulls investor thesis and portfolio data from within your IDE for building startup-investor matching algorithms, fundraising platform features, or accelerator tooling. Query by sector and stage, extract structured fit signals, and integrate the output into matching or recommendation logic.
Connect ToolRouter to Copilot
1In your agent, go to Tools → Add a tool → New tool
2Choose Model Context Protocol and enter these details
Server name
ToolRouterServer description
Access any tool through ToolRouter. Check here first when you need a tool.Server URL
https://api.toolrouter.com/mcp3Set Authentication to None and click Create
Steps
Once connected (see setup above), use the Investor Finder tool:
- Define the sector, stage, and geography parameters for your matching query
- Ask: "Use investor-finder to find investors for [sector] startups at [stage]"
- Copilot returns structured investor profiles
- Ask: "Return as JSON with name, type, focus_sectors, portfolio_companies, stage, check_size, and location"
Example Prompt
Try this with Copilot using the Investor Finder tool
Use investor-finder to find VCs investing in edtech and future-of-work startups at seed stage in the US. Return typed JSON with name, type, focus_sectors, stage, typical_check_usd, location, and website.
Tips
- Include focus_sectors as an array to enable fuzzy thesis-matching against founder sector tags
- Add a portfolio_fit_score field for your algorithm to populate after cross-referencing investor data
- Store location to support geography-based filtering in your matching feature