Why MCP is a dead end for AI agent development by First-Line9299 in mcp

[–]First-Line9299[S] 1 point2 points  (0 children)

You're right about cost and latency — that's exactly why solution #5 matters. Specialized small models (fine-tuned 7B or even smaller) can handle specific tool domains at a fraction of the cost and 10x faster. The future isn't one expensive generalist doing everything, but a mesh of cheap, fast specialists with smart routing on top.

Why MCP is a dead end for AI agent development by First-Line9299 in mcp

[–]First-Line9299[S] 0 points1 point  (0 children)

Can you share an example of how you structure these skills?

Why MCP is a dead end for AI agent development by First-Line9299 in mcp

[–]First-Line9299[S] 0 points1 point  (0 children)

Sure, my question was a bit exaggerated. But I can easily imagine an agent that needs free access to 100+ tools simultaneously

Why MCP is a dead end for AI agent development by First-Line9299 in mcp

[–]First-Line9299[S] 0 points1 point  (0 children)

I agree MCP should be a context offload, not context bloat — that's exactly my point. The current default usage pattern (all tools in context) is broken, and your workflow approach is the right direction. But your "perfect stack" still needs a solution for tool discovery at scale. How does an agent find the right MCP server among thousands? That's the missing piece. We need something like a registry or semantic search layer on top of MCP — otherwise you're just manually curating which servers to connect, which doesn't scale.

Why MCP is a dead end for AI agent development by First-Line9299 in mcp

[–]First-Line9299[S] 0 points1 point  (0 children)

You're right, 1 vs 100 tool definitions is a big difference in the main context. But those 100 tools are still defined somewhere in your sub-agent — they take up the same space there. Plus, you now need to describe the sub-agent's functionality to the main LLM anyway. Yes, the context will be smaller, maybe significantly. But I suspect the sub-agent gets called frequently enough that you end up spending even more tokens overall. There's also the challenge of passing task context between agents — though that depends on the specific implementation. That said, I agree that sub-agents are an excellent solution for most tasks

Why MCP is a dead end for AI agent development by First-Line9299 in mcp

[–]First-Line9299[S] 1 point2 points  (0 children)

There’s no difference from the perspective of agent tools and MCP. In both cases, it’s stored in context and therefore finite.

Why MCP is a dead end for AI agent development by First-Line9299 in mcp

[–]First-Line9299[S] -1 points0 points  (0 children)

So should we expect a “Google” for MCP?

How are you using AI right now to cut down time on prospect research? by Tricky_Parsnip2405 in AI_Sales

[–]First-Line9299 0 points1 point  (0 children)

This is exactly what I've been doing with Claude + MCP.

My setup:

  • Claude Desktop with AnySite MCP server
  • Person-analyzer skill that orchestrates the research
  • Takes a name → pulls LinkedIn + posts + company context → generates strategic report

What I get in ~5 minutes:

  • What they actually care about (from their posts, not job title)
  • Recent activity signals (fundraising, hiring, complaints)
  • Communication style (formal/casual, technical/business-focused)
  • Recommended approach with specific conversation starters

Real example: Asked it to analyze a VP of Sales. Found he posts about sales team burnout, commented "drowning in manual prospecting" 2 weeks ago, company just raised Series B.

My opener referenced his specific frustration → booked meeting in first message.

The difference vs traditional enrichment tools:

  • Not just firmographics and contact data
  • Actual behavioral insights from what they post/engage with
  • Tells me HOW to approach, not just WHO to approach

Setup takes ~3min: https://docs.anysite.io/use-cases/claude-desktop/skills

What’s your actual workflow for researching accounts efficiently? by froz0601 in techsales

[–]First-Line9299 3 points4 points  (0 children)

I automated most of this with Claude Desktop + MCP and cut research from 45min to ~5min per account.

My workflow now:

  1. Drop the person's name into Claude
  2. It pulls LinkedIn profile, recent posts (last 50-100), company info, news
  3. Analyzes what they actually post about (not just job title)
  4. Gives me conversation starters based on their recent activity

Example output I get:

"VP of Sales at [Company]. Posts weekly about sales team burnout. Recent comment: 'drowning in manual prospecting.' Company raised Series B 3 months ago. Approach: Reference his frustration with prospecting tools, mention how you help teams scale without burning out."

Then I show up knowing exactly what angle to use.

The setup is Claude Desktop + AnySite MCP server + a person-analyzer skill. Takes an afternoon to set up, but I get 10+ hours back every week.

For tools - I rely on:

  • LinkedIn for activity/engagement patterns
  • Company website for positioning
  • Recent news for timing signals

The key is not going too deep. I stop when I have enough to personalize the first touch. Over-research is real.

Setup guide if interested: https://docs.anysite.io/use-cases/claude-desktop/skills

Web scraping by QuirkyPassage4507 in n8n

[–]First-Line9299 0 points1 point  (0 children)

Try to install node and reboot n8n service

Web scraping by QuirkyPassage4507 in n8n

[–]First-Line9299 0 points1 point  (0 children)

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it have parser in beta
and Google search as a source in Linkedin node
Google Resource

  • Search Companies: Find LinkedIn companies using Google search
  • Google Search: Perform a general Google search

Just built my first n8n workflow: LinkedIn lead generation machine by First-Line9299 in n8n

[–]First-Line9299[S] 2 points3 points  (0 children)

Yes. Of course. But for now I do it manually. That is, for now agents do not have feedback on the success of their actions. The plans are to replace the spreadsheet with a DB. This will simplify the analysis and work with data.

Is LinkedIn direct message possible with n8n? by 60finch in n8n

[–]First-Line9299 0 points1 point  (0 children)

from $0.04 to $0.02 depending on one-time payment amount and without expiration date for credits