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save_blog_post

[MAINTENANCE] Create or update a workspace-scoped blog post (draft|published|archived lifecycle). Posts belong to the whole workspace, not a single project, and are served publicly at /blog/<slug> once status='published'. Pass 'id' to update an existing post; omit it to create a new draft. 'slug'...

SERVERMeridian SOURCE@meridianmcp/mcp
Medium RISK CLASS
Category Write
Parameters 51 required
Recommended Rate-limitedsee the rule below
Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/io-github-ajc3xc-meridian/save-blog-post.md

What save_blog_post does on Meridian

AI agents use save_blog_post to create or update resources in Meridian, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Meridian environment.

ParameterTypeRequiredDescription
id string — Optional: id of an existing post to update instead of creating a new one.
body string — Post body (Markdown).
slug string — Optional URL slug; auto-derived from the title when omitted.
title string Yes
status string — Lifecycle status. Default 'draft'. 'published' makes it live at /blog/<slug>.

Parameters from the server's own tool schema.

Why save_blog_post is rated Medium

An AI agent can call save_blog_post faster than any human can review: one bad instruction and it creates or modifies resources in Meridian by the hundred, each call as confident as the last.

Risk signalsAccepts raw HTML/template content (body)

Questions about save_blog_post

What does the save_blog_post tool do? +

[MAINTENANCE] Create or update a workspace-scoped blog post (draft|published|archived lifecycle). Posts belong to the whole workspace, not a single project, and are served publicly at /blog/<slug> once status='published'. Pass 'id' to update an existing post; omit it to create a new draft. 'slug' is optional (auto-derived from the title, de-duplicated). Returns the saved post with a computed 'url'. Persistent-state disclosure: on hosted Meridian, supplied text and project/session metadata -- including task log entries, pinned decisions, sprint items, notes, handoff/goal state, and HITL queue items -- are sent to and stored in Meridian's service, in an isolated per-tenant Postgres database (Neon); self-hosted deployments keep the same categories in the configured local SQLite/Postgres database. This data is visible in the dashboard and API, and may resurface in later project context or handoffs. Notes and pinned decisions can be deleted individually; task log entries and sprint items can be deleted via the dashboard/API (not exposed as an agent-facing tool); HITL queue items and handoff state have no per-record delete. Full removal of any of this data is available via project or account deletion, using the documented controls. Do not include secrets. It is categorised as a Write tool in the Meridian MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does save_blog_post accept? +

save_blog_post accepts 5 parameters: id, body, slug, title, status. Required: title. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on save_blog_post? +

Register the Meridian MCP server in PolicyLayer and add a rule for save_blog_post: 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 Meridian. Nothing to install.

What risk level is save_blog_post? +

save_blog_post is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit save_blog_post? +

Yes. Add a rate_limit block to the save_blog_post 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.

How do I block save_blog_post completely? +

Set action: deny in the PolicyLayer policy for save_blog_post. 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.

What MCP server provides save_blog_post? +

save_blog_post is provided by the Meridian MCP server (@meridianmcp/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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