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MCP for Everything! My MCP explained…
I've started to go all in on the MCP with Claude by Anthropic. I was a ChatGPT for everything guy, but over the last few weeks, I have gone all in with Claude. It makes you feel more and more like every true owner of data or a platform that is recording your workflows should have an MCP plugin within Claude.
For Social Leverage, we are now all in using Beehiv, Fiscal, and connecting our Affinity CRM, which doesn't have an official plugin; but I was able to set it up by editing my config and I also connected my Gmail and Granola. Now that I am all in on the MCP, I feel like creating skills within Claude is endless. I’ll start to incorporate Carbon Arc as well since they have access to endless unique data assets, which is helpful for insights into markets, KPI forecasts, and understanding company performance.
Skills, which I have started building in Claude, give you the ability to automate so many of the things that were multi-step processes in the past. For Social Leverage, we use the Beehiv newsletter platform for our monthly updates for all of our LPs and our broader network as well as potential future LPs. I can now connect Beehiiv to Claude and create skills to analyze stats on our monthly outreach to better coordinate follow up meetings. Of course I will let Blockit.ai schedule those follow up meetings.
For my investment memos, we have connected our CRM, Granola, & Fiscal.ai so that the investment memos can be automated and also pull the latest market comps with charts from Fiscal.
When I worked at Third Point, I always wanted to build an AI assistant that I could talk to about what I should be reading, what’s relevant in the markets compared to my recent meetings and historical investments, ask it what I should be focusing on, and connect it to our internal research management system along with the latest public markets data. Now with Claude, all this is possible. I can use Claude and ask it to tell me, based on all the Data as a Service companies I have taken meetings with over the last 6 months, what have been some current themes, why we have passed, and why we haven’t been excited about any DaaS companies. Now compare that to wealth tech companies which we have invested in, in Fund V, such as Syntheticfi.com or GetLea.io, or a few others we are close to investing in. What were the key differences?
The capabilities are endless, and it feels like the only thing holding you back is your creativity. If you can ask the question or dream up the capability or product, chances are it is possible! Socia Leverage doesn’t consider itself an AI fund or a fund that uses technology for deal sourcing, but given the partners’ backgrounds, we are now deep into using AI and building our own tools to make ourselves 10x more efficient. Using these tools also gives us an edge as we understand the pain points, limitations, and I can now relate to founders who have a slow computer because they are running a million agents and processes, because my machine is now sooooooo slowwwww!
What two founders learned growing a 37-year-old company
Intrepid's co-founder and CEO don't do corporate gloss. Their opening letter in the Integrated Annual Report gets into what 2025 actually required: the hard calls, the strategy reset, and how a nearly 30% growth year still came with real challenges.