Third-party integrations
View All TagsDirectories like Glama index over 20,000 MCP servers. Most of them are weekend projects. Some of them are brilliant. A surprising number of them just don't work.
We've been running MCPBundles for over a year — a platform where teams connect their AI agents to production APIs. We've tested, wrapped, and maintained MCP servers for hundreds of services. This guide is what we've learned about which ones are worth your time.
Glama indexes 20,000+ MCP servers. Smithery has 8,000+. mcp.so has 6,000+. There's no shortage of servers to find.
The problem is everything that happens after you find one.
You pick a promising-looking Stripe MCP server from a directory. Now you need to clone the repo, install its dependencies (hope they don't conflict with yours), figure out whether it uses env or args for the API key, add your key to a JSON config file in plaintext, start the process, and configure your AI client to talk to localhost:3000. If you're lucky, it works. If the repo hasn't been updated in three months, it probably doesn't.
Repeat that for every service you want to connect. We got to five local MCP server processes before we gave up and built something better.
OpenAI just made it clear: if you want your MCP server to work with ChatGPT's deep research capabilities, it needs to implement two specific tools: search and fetch.
This isn't optional. It's the protocol standard that enables ChatGPT to discover and retrieve information from external data sources. And if you're using MCPBundles, you already have it.
