Official AntV MCP server that turns a description of your data into a rendered chart — 26 visualization types from bar and line to sankey, mind-map, fishbone and geographic maps.
PatchloomMCP Server
Summary
Structured, format-preserving file editor for agents: JSON/YAML/TOML, markdown, and AST-aware code edits, transactional across files.
Features
- Parser-backed JSON/YAML/TOML edits that preserve comments and formatting
- AST-aware rename/replace/list-symbols across ~20 languages
- Markdown table, bullet, and section editing
- Multi-file batch/transaction edits with rollback
Installation
Set up this MCP server in your favorite AI agent — copy a ready-made configuration below.
Description
Patchloom targets a specific pain point for coding agents: naive text replacement on structured files, whether config, markdown, or source code, is error-prone and burns tool-call round-trips. Instead of shell-quoted sed or patch commands, it gives agents typed, structured operations: doc commands that edit JSON/YAML/TOML while preserving comments and formatting, md commands for editing markdown tables, bullet lists, and sections without rewriting the whole file, ast commands for AST-aware rename, replace, and list-symbols across roughly twenty programming languages, plus generic search/replace/patch/create/delete/read and a tidy command for whitespace normalization.
A batch and transaction mode lets multiple edits across multiple files execute as one transaction with rollback if any step fails, which is the kind of atomicity agents need when refactoring across a codebase. It ships as both a CLI and an MCP server, so an agent can call these operations as structured JSON tool calls rather than generating shell commands the host has to parse and quote correctly. Distribution is unusually broad for a young project, spanning npm, Homebrew, Scoop, Chocolatey, crates.io, an official MCP Registry listing, and VS Code and Open VSX extensions, backed by well over a thousand commits and thousands of tests. This is aimed at coding-agent builders and power users of Claude Code, Cursor, and VS Code who want safer, cheaper structured edits than raw find and replace.
Covered in the Weekly
- Onei AI Weekly #1 — August 3, 2026
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