Atomic multi-file find-and-replace — 80% fewer tool calls, 50% less context usage
Atomic multi-file find-and-replace — 80% fewer tool calls, 50% less context usage. That is what the mcp mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
An MCP server that gives Claude the ability to perform multiple find-and-replace operations in a single tool call with guaranteed atomicity -- all edits succeed or none apply.
The server ships on npm as @essentialai/mcp-multi-edit, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.
Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. It is maintained by eaisdevelopment; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against MCP's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
{
"mcpServers": {
"Multi Edit from Essential AI Solutions (essentialai.uk)": {
"command": "npx",
"args": ["-y", "@essentialai/mcp-multi-edit"]
}
}
}Configuration as documented by the project. Restart the client after saving.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Microsoft's official browser automation server — drive a real browser through the accessibility tree, no screenshots needed.
GitHub's official server — repos, issues, pull requests, Actions and code security, straight from your assistant.
Issue tracking at the speed of conversation — Linear's official hosted server with OAuth and zero install.
Local repository surgery — status, diffs, commits, branches and history for any repo on disk.
Timezone sanity for AI — current time anywhere and correct conversions, without the model doing date math.