An open source implementation of the Claude built-in text editor tool
Text Editor MCP server exists for a simple reason — assistants are far more useful when they can act on Text Editor directly instead of describing what you should do. An open source implementation of the Claude built-in text editor tool.
This package implements an equivalent tool to the built-in Claude text editor tool versions:
Once Text Editor is connected, these are the calls the assistant has available:
View — The View tool exposed by this serverCreate — The Create tool exposed by this serverInsert — The Insert tool exposed by this serverPrerequisites — The Prerequisites tool exposed by this serverSetup — The Setup tool exposed by this serverScripts — The Scripts tool exposed by this serverTesting — The Testing tool exposed by this servernpx on npm is all you need. Most clients run it directly, so configuration is a few lines and a restart.
Plenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Text Editor's toolset — View, Create, Insert and 4 more — is a fair guide to whether it matches your workflow. It is maintained by bhouston; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| View | The View tool exposed by this server. |
| Create | The Create tool exposed by this server. |
| Insert | The Insert tool exposed by this server. |
| Prerequisites | The Prerequisites tool exposed by this server. |
| Setup | The Setup tool exposed by this server. |
| Scripts | The Scripts tool exposed by this server. |
| Testing | The Testing tool exposed by this server. |
{
"mcpServers": {
"textEditor": {
"command": "npx",
"args": ["-y", "mcp-server-text-editor"]
}
}
}Configuration as documented by the project. Restart the client after saving.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.