Ad Copy Ai tools for AI agents. Capabilities: generate ad copy, generate variants, create campaign. Built by MEOK AI Labs.
from $12/mo
Nothing to run from here
Kadenzo is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
Open Installation—
p95 latency
—
call success
local
runs on your machine
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calls last 7d
What it does
MCP server for Kadenzo — schedule, manage, generate, and analyze social posts across 11 networks from any AI agent (Claude, Cursor, ChatGPT).
Quickstart
# 1 — run it from where its publisher ships it
npx -y kadenzo-mcp
# 2 — the plan is chosen at checkout, in the browser
# 3 — ask your agent something
> MCP server for Kadenzo — schedule, manage, generate, and analyze social posts across 11 networks from any AI agent (Claude, Cursor
Publishernot claimed
JOAll 1 server
jors71 server
1 category
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Installation
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. This one runs on your machine: your client starts Kadenzo as a process under your own user, with your files and your network, so the tool surface below is what it can do to your computer rather than to a server somewhere else. It is scanned, signed and pinned to the version you choose — read the surface before you approve it.
Claude Codedeclared by this listing
This is a public server: you run it yourself and this marketplace is not in the path. Claude Code registers it in one command.
claude mcp add kadenzo-mcp -- npx -y kadenzo-mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
This is a paid listing, so the CLI has to be signed in and the licence has to be on your account — how the login works. Until then the install stops with the price rather than half-writing a config entry.
What it asks of you
It reaches a system of yours, so it needs your own credential rather than the publisher’s: KADENZO_API_KEY. You set it after installing; the value is sealed here and sent to the server on each call.
What it writes
One config entry your client uses to start the process locally. A local server runs with your file system and your network, which is why it is priced without metering.
What you approve
23 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
List the social accounts connected to this Kadenzo workspace — returns each account id, platform, and username. Use the ids as account_ids when scheduling.
Takes no parameters.
Example callreturns →
Schedule a social post to one or more connected accounts for a FUTURE time (it publishes automatically). Set validate_only=true to check accounts/limits/timing without scheduling.
Takes no parameters.
Example callreturns →
List your posts, newest first. Optionally filter by status (comma-separated, e.g.
Takes no parameters.
Example callreturns →
Get one post: roll-up status, per-channel outcome, and any options/thread that were set on it.
Takes no parameters.
Example callreturns →
Edit a post that has not published yet — change content, accounts, time, media, options, or thread.
Takes no parameters.
Example callreturns →
Cancel a scheduled post before it publishes. Already-published posts cannot be cancelled.
Takes no parameters.
Example callreturns →
Upload a local image or video file and get a hosted URL to use in media_urls when scheduling.
Takes no parameters.
Example callreturns →
Recent posts and their engagement metrics for one connected account (likes, comments, views, etc.). The reliable analytics surface.
Takes no parameters.
Example callreturns →
Per-channel engagement metrics for a specific post you scheduled (best-effort; use get_account_analytics for the full picture).
Takes no parameters.
Example callreturns →
Generate post copy for a platform from a topic — great for a
Takes no parameters.
Example callreturns →
Personalized best posting times for one connected account, computed from its own engagement history. Requires the Professional plan or higher. Hours are UTC; shift to the poster’s timezone. Use it to pick scheduled_for.
Takes no parameters.
Example callreturns →
Your social-listening mentions — who is talking about the keywords you track (reddit/bluesky/youtube/hackernews/…), newest first. Filter by platform, since (ISO), or unread.
Takes no parameters.
Example callreturns →
Post a comment/reply to one of your posts. account_id from list_accounts; target_id is the platform post/media/comment id to comment on. Supported: instagram, facebook, linkedin.
Takes no parameters.
Example callreturns →
List the social-listening keywords this workspace tracks — id, keyword, role (brand/competitor/topic), platforms, aliases, active state. Mentions for them arrive via list_mentions.
Takes no parameters.
Example callreturns →
Start tracking a social-listening keyword. Per-plan keyword caps apply (Professional 5, Enterprise 15). Mentions are fetched on the listening pipeline\
Takes no parameters.
Example callreturns →
Edit a tracked keyword — including is_active=false to pause tracking without losing history.
Takes no parameters.
Example callreturns →
Stop tracking a keyword and drop its mentions. Prefer update_keyword with is_active=false if the user may want the history back.
Takes no parameters.
Example callreturns →
Aggregated social-listening analytics: mention volume over time, per-platform split, sentiment distribution and trend, totals. Defaults to quality-filtered mentions.
Takes no parameters.
Example callreturns →
Share of Voice report — your brand keywords vs competitor keywords: per-keyword mention/sentiment totals, your share of relevant conversation (current + previous window), daily series. Requires the Enterprise plan (403 otherwise — do not retry).
Takes no parameters.
Example callreturns →
List the DM automation rules on your Instagram/Facebook accounts, with per-rule funnel stats (reached → opted in → clicked, plus captured emails), this month\
Takes no parameters.
Example callreturns →
Create a DM automation rule. trigger_type: comment_keyword (comment → DM; REQUIRES opening_message + button_label — Meta\
Takes no parameters.
Example callreturns →
Edit a DM automation rule — most commonly active=false/true to pause or resume it. comment_keyword rules cannot drop opening_message or button_label.
Takes no parameters.
Example callreturns →
Delete a DM automation rule permanently. Prefer update_dm_automation with active=false if the user may want it back.
Takes no parameters.
Example callreturns →
Standardmost installed
$29 / month
- 25,000 calls a month, included
- 300 calls a minute at peak
- Every tool the listing has
- Cancel any time — the unused days are credited
- Runs behind the gateway, so cancelling stops it
Business
$79 / month
- 200,000 calls a month, included
- 2,400 calls a minute at peak
- Every tool the listing has
- Cancel any time — the unused days are credited
- Runs behind the gateway, so cancelling stops it
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
No call is billed on its own, and this plan carries no monthly call limit. $29 a month covers every tool at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
—
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Alert at 80% · then the tool returns a normal MCP error
Used this month: $8.42
$16.58 left
ATrust score 96 / 100
Release 1.4.0 · scanned 25 Aug 2026
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
Threat score100
Client score96
Findings0 threat · 0 capability
Capabilitymoderate
Coveragesource
Verificationrepo
Surface digestc00c2c55eb422ab6fe49689756296586ac44aeec255ecaf8914db32002c923e5
Score vectorthreat 100 → client 96
| Term | Level | What it prices | Points |
|---|---|---|---|
| capability-exposure | moderate | capability blast radius (moderate) — client exposure if the model is manipulated | −3 |
| verification-discount | repo | publisher verification (public source) — no provenance, but the source is public and inspectable | −1 |
| coverage-honesty | source | inspection depth (source) — how much of the target the scan could see | −0 |
score = clamp(round(threatScore − E_cap − E_ver − E_cov), 0, 100). No model, no opinion, no network call at scoring time: the same methodology version against the same bytes always produces this number, and every line above is a field of the report rather than a summary of it.
What the scan could actually read
A grade is only as meaningful as its coverage, so the scanner publishes its own depth before it publishes its result.
Tool surfaceread
Implementation sourceread
Package metadataread
Live transportnot available
Tools were statically extracted from the published source (23 recovered), not enumerated from a running server. Tool-poisoning, Unicode-smuggling, capability and toxic-flow analysis ran on this inferred surface, but a mis-parsed registration could be missed or mis-attributed, so tool-derived findings are capped below “confirmed”. To grade the real runtime surface, scan the running server: --command "npx -y <package>".
Capability — what it could do if the model were manipulated
Tags derived from each tool’s schema and the implementation, not from what the tool calls itself. moderate is the level these add up to.
| Tool | Capability tags | Why the tag was assigned |
|---|---|---|
| list_accounts | no tags | |
| schedule_post | no tags | |
| list_posts | no tags | |
| get_post | no tags | |
| update_post | no tags | |
| cancel_post | no tags | |
| upload_media | no tags | |
| get_account_analytics | no tags | |
| get_post_analytics | no tags | |
| generate_content | no tags | |
| get_best_times | no tags | |
| list_mentions | no tags | |
| post_comment | no tags | |
| list_keywords | no tags | |
| add_keyword | untrusted-input | |
| update_keyword | no tags | |
| delete_keyword | no tags | |
| get_listening_analytics | no tags | |
| get_share_of_voice | no tags | |
| list_dm_automations | no tags | |
| create_dm_automation | no tags | |
| update_dm_automation | no tags | |
| delete_dm_automation | no tags |
Toxic-flow graph
The lethal trifecta, checked as a graph rather than as a checklist: untrusted input, a sensitive source and an external sink have to meet before there is a path worth worrying about.
The public result for this release does not print the flow graph, so there is nothing to show here. That is not the same as "no paths were found": what the scan did read is above, under coverage.
Supply chain and provenance
Integrityfirst-seen
Surface digestc00c2c55eb422ab6
Scanned2026-08-25
This is the first scan of this surface here, so there is nothing yet to compare it against.
Every result on this tab comes from one deterministic pass over the published package — offline, rule by rule, and auditable line by line above. Same methodology version, same bytes, same score.
Release history
Pinned to 1.4.0 — the install command below asks for that release. A pin is part of an install, so it is kept for this visit and written down when you install.
1.4.0
undated
installedNo release note was published with this version.
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no reviews yet
Reviews are earned
Only accounts with at least 50 real tool calls against this server in the last 90 days can post. Ratings are weighted by how much the reviewer actually uses it, and publishers can reply once per review.
Reviews are earned
Writing one takes an account with at least 50 real tool calls against Kadenzo in the last 90 days. That is the whole gate — there is no other way to post, which is why the counts beside each review are worth reading.
No reviews yet
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes an account with 50 real tool calls against it.