Edit notes safely. Vault scope: ${vaultScope}. Supports AST edits by heading/block ID, freeform line/string replacement, frontmatter_set metadata merges, batch operations (max 50), and dryRun=true unified diff previews. Read vault://overview for editing strategy and conventions.\n\nTIPS: Always u...
AI agents use edit to create or update resources in Mcp Markdown Vault — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Markdown Vault environment.
Although the tool description mentions 'delete' and 'replace' operations that could be considered destructive, the overall design emphasizes safety mechanisms (dryRun previews, AST-based surgical editing, batch operation limits of 50). The primary purpose is reversible modification of markdown notes rather than irreversible deletion. Most edits can be undone by reverting file contents.
From the tool's definition Tool description explicitly states it 'Edit notes safely' and supports 'freeform line/string replacement, frontmatter_set metadata merges, batch operations' and 'delete, replace' operations.
Documented attack patterns abuse exactly the kind of access edit gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Markdown Vault, and nothing reaches the server without passing your rules. This is the rule we recommend for edit:
{
"version": "1",
"default": "deny",
"tools": {
"edit": {
"limits": [
{
"counter": "edit_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}edit stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Edit notes safely. Vault scope: ${vaultScope}. Supports AST edits by heading/block ID, freeform line/string replacement, frontmatter_set metadata merges, batch operations (max 50), and dryRun=true unified diff previews. Read vault://overview for editing strategy and conventions.\n\nTIPS: Always use dryRun=true before destructive operations (delete, replace). Use bulk_read for reading 2+ files. Use view.outline before heading-specific edits when unsure of heading names. string_replace requires exact literal match including whitespace/newlines. It is categorised as a Write tool in the Mcp Markdown Vault MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Mcp Markdown Vault MCP server in PolicyLayer and add a rule for edit: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Mcp Markdown Vault. Nothing to install.
edit is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the edit rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for edit. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
edit is provided by the Mcp Markdown Vault MCP server (wirux/mcp-markdown-vault). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Mcp Markdown Vault, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
5 Mcp Markdown Vault tools catalogued and risk-classified — across an index of 43,000+ MCP servers.