Benchmark Seed Valuations Using MCP Servers.
Your portfolio valuations compared, market comps pulled, benchmark report built , know if $12M pre-money for a Seed is reasonable before you negotiate
Works with every AI agent you already use
…and any MCP-compatible client
Waiting for input…
Gemini How It Works
The question every early-stage VC faces: is this valuation fair? There is no Bloomberg terminal for Seed rounds. There is no public market multiple to reference.
There is only pattern recognition , and your pattern is only as good as your data. Your AI agent starts with Carta , what have you actually paid? It reads your Fund I portfolio: 11 Seed investments.
Average pre-money: $9.5M. Median: $8M. Range: $5M (pre-product) to $18M (YC company with $200K MRR). By sector: fintech Seed average $10.5M, B2B SaaS $8.2M, healthtech $7.5M, AI infrastructure $12M.
That is your internal benchmark. Now the agent pulls Crunchbase for market benchmarks: all Seed rounds in AI infrastructure, US-based, last 12 months.
84 rounds found. Median pre-money: $11M. 25th percentile: $7M. 75th percentile: $15M. Average round size: $3.8M. The startup asking $12M is at the 55th percentile , above median but not extreme.
For context, AI infrastructure Seed valuations are 30% higher than general B2B SaaS Seed ($8.4M median). The premium is real , driven by talent scarcity and large exit multiples in the sector.
The agent compiles this into a Google Sheet: your internal comps (Carta), market comps (Crunchbase), percentile analysis, and a recommendation range.
You walk into the negotiation with: 'Based on 84 comparable rounds and our portfolio data, a fair range for this stage and sector is $10-13M pre-money.
$12M is within range. We can proceed at $12M with standard Seed terms.' That is how you negotiate with data.
The founder appreciates the rigor. The deal gets done.
MCP Server Orchestration: 3 MCP Servers, one intelligent agent
Connect Carta, Crunchbase and Google Sheets MCP servers so your AI agent reads your existing portfolio valuations from Carta (what you paid for similar companies at similar stages), pulls comparable Seed and Pre-seed rounds from Crunchbase across your sectors, and builds a valuation benchmarking report in Google Sheets. The founder says '$12M pre-money.' Your gut says 'That seems high for a pre-revenue company.' But what does the data say? Are other AI infrastructure Seed rounds pricing at $8M or $15M? What did you pay for your last 3 Seed investments? What is the median by sector, geography, and team experience? The agent builds the comp table. You negotiate from data, not from gut. The founder respects the rigor. The deal closes at a fair price.
Carta
triggerReads your existing portfolio valuations and historical entry prices
list_companies list_valuations list_funding_rounds get_cap_table Crunchbase
actionPulls comparable Seed and Pre-seed rounds by sector, geography and stage
search_organizations list_funding_rounds get_funding_round_details get_organization_details Google Sheets
actionBuilds the valuation benchmark report with comparables and analysis
create_spreadsheet append_sheet_values update_sheet_values get_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.
- Carta, Crunchbase & 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.
Seed-stage VCs negotiating term sheets who need data-driven valuation benchmarks to determine if a founder's ask is within market range
Emerging fund managers with limited deal history who need market comparables to build pricing intuition for their thesis sectors
Angel investors evaluating SAFE terms who want to understand if the valuation cap is reasonable relative to current Seed pricing in the sector
Fund partners preparing for investment committee discussions who need to justify the entry valuation with comparable transaction data
Frequently Asked Questions About This MCP Server Orchestration
Which MCP servers do I need for this workflow?
Three: Carta, Crunchbase 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.
Is Crunchbase valuation data accurate?
Crunchbase reports disclosed round sizes. Pre-money valuations are sometimes disclosed, sometimes estimated from round size and ownership percentage. For sector-level median analysis, the sample size (84 rounds) is statistically meaningful. Individual round data should be treated as directional.
Can I benchmark Series A valuations too?
Yes. Change the stage filter in your prompt. The agent pulls Carta portfolio data and Crunchbase comps for whatever stage you specify , Pre-seed, Seed, Series A, or Series B.
Is this a substitute for a valuation expert?
For early-stage rounds, comparable transaction analysis is the standard valuation methodology , there is no DCF at Seed. This workflow automates the comp analysis that a valuation expert would do manually. For complex situations (structured terms, ratchets, liquidation preferences), consult legal counsel.
Can I share the benchmark with the founder?
Yes , and you should. Founders who see fair, data-driven analysis trust the process more than investors who say 'Our fund targets $10M pre-money.' Sharing the comp table builds credibility. The negotiation becomes collaborative, not adversarial.
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MCP servers used in this workflow
Carta
Carta MCP Server gives your AI agent direct access to corporate finance data. Query cap tables, check vesting schedules, and pull 409A valuations without opening the Carta dashboard. It lets you manage equity operations and compliance data conversationally, making due diligence instant.
Crunchbase
Crunchbase MCP Server gives your AI agent deep business intelligence. Search companies, track funding rounds (Seed to Series D+), and analyze M&A history. Get full profiles, map investment networks, and research executives, all from a natural language prompt. Essential for due diligence and market analysis.
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.