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Dynamic Bundles: Hub-Style Power Inside Any Bundle

· 3 min read
MCPBundles

Tool overload is real.

It shows up as lag. Wrong tool picks. Weird, half-finished workflows. Or the model just dumps a wall of raw data at you and calls it a day.

We’ve always had a simple answer: keep bundles focused. 5–15 tools for one job.

That still works great.

But sometimes you do want a big bundle. A real “everything I use for this role” bundle.

Now you can do that without turning your AI into a confused mess.

Every bundle can run in Dynamic.

MCP Tool Observability: See Every Call Your AI Makes

· 3 min read
MCPBundles

Your AI assistant calls a tool through MCP. What actually happened? Did it work? How long did it take? What did it send, and what did it get back?

Before now, you'd dig through logs or just hope your AI would explain what happened. That's not enough.

We built complete tool execution tracking right into MCP Bundles. Every tool call gets logged with full context—timing, credentials used, results, everything. You can see exactly what your AI is doing, debug failures fast, and understand your tool usage patterns.

Tool History List

Harvest Time Tracking Just Got an AI Upgrade

· 3 min read
MCPBundles

Harvest has been the go-to time tracking tool for freelancers, agencies, and development teams for years. Whether you're billing clients hourly, managing project budgets, or just trying to understand where your time actually goes, Harvest makes it all work.

But here's the problem: your AI assistants have been locked out of this valuable data. Sure, you could export reports and paste them into ChatGPT, but that's not real integration. That's not having your AI actually understand and work with your time data.

That's why we built the Harvest MCP bundle.

Run Value-First Reddit Research with the MCP Reddit Bundle

· 4 min read
MCPBundles

Here's the exact playbook for using our Reddit bundle to find winning ad teardowns, copy their structure, and write your own "here’s what actually worked" breakdowns.

Most people stare at a blank page wondering what to write. We're going to skip that part entirely. Instead, we'll use the Reddit bundle to find what's already working, understand why it works, and then just plug in our own data.

You can run all of this right now in Bundle Studio.

Cartoon robot researcher running Reddit bundle queries

Introducing the Hub: Cross-Service AI Workflows Without Tool Overload

· 5 min read
MCPBundles

Tool overload is real. Give AI 50 tools and it gets confused—slow, wrong tool selections, data dumps instead of answers. We've always solved this with focused bundles: give AI 5-15 tools for a specific workflow, and it works great.

But what about when you need data from multiple services at once?

That's why we built the Hub. It uses programmatic tool calling—AI discovers tools on-demand and writes code to orchestrate them—so you can work across all your connected services without the overload problem.

This builds on recent research from Anthropic—their work on advanced tool use and code execution with MCP. We took these patterns and made them accessible to anyone with an MCPBundles account.

MCP Apps: How to Build Interactive UIs for MCP Servers

· 7 min read
MCPBundles

MCP Apps (SEP-1865) is a recent extension to the Model Context Protocol that lets a server hand the host an interactive UI rather than only text or structured JSON. The host renders that UI inside its own surface — Claude Desktop, ChatGPT and Cursor have all been moving in this direction — and the UI can call back into the server through the existing MCP transport.

The reason it matters is that a lot of the things people want agents to do are not really text-shaped. A pipeline view, a comparison chart, a form with validation, a sortable table — these have always been awkward to express as a tool response. MCP Apps gives them a first-class home without throwing out the auth, sandboxing or audit story that MCP already had.

Developer viewing interactive dashboard with charts and graphs

Affinity Relationship Intelligence: 35+ AI Tools for Deal Flow & CRM

· 10 min read
MCPBundles

Deal flow management is messy. You're tracking companies, founders, opportunities, lists, notes, emails, meetings, calls. Jumping between screens trying to find who you talked to last week, what stage that deal is in, which companies need follow-up.

We built 35+ MCP tools for Affinity. Now you can manage your entire relationship intelligence workflow through conversation with Claude. Track companies, find people, manage opportunities, organize lists, review interactions. Just ask.

Split-screen cartoon illustration: left shows stressed investor juggling multiple CRM screens and sticky notes, right shows same person relaxed while chatting with friendly AI assistant
Manage your deal flow through conversation instead of juggling multiple CRM screens.