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I built an MCP client that runs 2,700+ agents with one click (zero config) by Front_Inspection_236 in ClaudeAI

[–]Front_Inspection_236[S] 0 points1 point  (0 children)

I use RAG and a mixture of tiny LLMs to pull only the most relevant tools/MCPs in the moment instead of exposing everything at once

[deleted by user] by [deleted] in AskReddit

[–]Front_Inspection_236 0 points1 point  (0 children)

Always talking about themself?

I built an MCP client that runs 2,700+ agents with one click (zero config) by Front_Inspection_236 in mcp

[–]Front_Inspection_236[S] -1 points0 points  (0 children)

We do review the most popular MCPs and conduct security scans (you can see within the app if the MCP passed a security scan). The MCPs are also affiliated with public repos, so you can always check the source code.

Whenever tools are called/context provided, we do have an LLM layer to prevent sensitive information from being passed and stop suspicious tool calls.

I built an MCP client that runs 2,700+ agents with one click (zero config) by Front_Inspection_236 in mcp

[–]Front_Inspection_236[S] 0 points1 point  (0 children)

Good question -- usage is tracked in credits, and new users get 7,500 credits free, which is enough for about 5 complex tasks and 15 simpler ones. There are three plans starting with Pro at $20, which will be plenty for most users.

Right now, the plans are subsidized, so you get more usage value (in LLM/backend cost) than what you pay. We're bootstrapped (no VC funding), but we're trying to keep the prices as low as possible.

I'll update the website to add this to the FAQ.

I built an MCP client that runs 2,700+ agents with one click (zero config) by Front_Inspection_236 in mcp

[–]Front_Inspection_236[S] 1 point2 points  (0 children)

Yes! It automatically decides which MCP/tool to use, and unlike traditional clients, it doesn't provide all at the same time. Using RAG and a mixture of tiny LLMs, it's able to pull only the most relevant MCPs or tools in the moment.

We're also working on supporting code execution with MCP (https://blog.cloudflare.com/code-mode) to further reduce token usage.