PostHog MCP Server
Official PostHog MCP Server for product analytics, feature flags, experiments, and more.
Agent-first local SEO quality, intent and opportunity engine with CLI and optional MCP server.
Pick the AI app you use, then copy the settings.
Passed 3/3 checks · Runs on your computer
First: which AI do you use?
Pick your app and the steps appear below.
Works with Claude, with some setup first
Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
One time only; it works for every server that needs Python (uv)
SettingsDeveloperEdit Config
{
"mcpServers": {
"agent-seo-engine": {
"command": "uvx",
"args": [
"agent-seo-engine"
]
}
}
}Use Agent SEO Engine and tell me what you can do for me, then show me one thing✓ If Claude says it is using Agent SEO Engine or shows a Agent SEO Engine tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
ChatGPT cannot connect Agent SEO Engine yet
Agent SEO Engine runs on your computer, but ChatGPT can only connect servers that run on the web
A · Use an app that can connect Agent SEO Engine
B · Others in Marketing & social media that work with ChatGPT
Picked from the most used in the same category, only ones that connect by address with no key
Works with Claude Code, with some setup first
Install Python (uv) on your computer first (one time)
One time only; it works for every server that needs Python (uv)
Mac: press Command+Space and type Terminal · Windows: open PowerShell
claude mcp add --scope user agent-seo-engine -- uvx agent-seo-engineYou should see Agent SEO Engine listed as connected
Use Agent SEO Engine and tell me what you can do for me, then show me one thing✓ If Claude Code says it is using Agent SEO Engine or shows a Agent SEO Engine tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with Cursor, with some setup first
Install Python (uv) on your computer first (one time)
One time only; it works for every server that needs Python (uv)
Use Agent SEO Engine and tell me what you can do for me, then show me one thing✓ If Cursor says it is using Agent SEO Engine or shows a Agent SEO Engine tool in the answer, you are connected
Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with VS Code, with some setup first
Install Python (uv) on your computer first (one time)
One time only; it works for every server that needs Python (uv)
Use Agent SEO Engine and tell me what you can do for me, then show me one thing✓ If VS Code says it is using Agent SEO Engine or shows a Agent SEO Engine tool in the answer, you are connected
Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.
JSON settings are under “For developers” below
Claude Code
claude mcp add --scope user agent-seo-engine -- uvx agent-seo-engineClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"agent-seo-engine": {
"command": "uvx",
"args": [
"agent-seo-engine"
]
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"agent-seo-engine": {
"command": "uvx",
"args": [
"agent-seo-engine"
]
}
}
}VS Code (mcp.json)
{
"servers": {
"agent-seo-engine": {
"type": "stdio",
"command": "uvx",
"args": [
"agent-seo-engine"
]
}
}
}These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
pypi: agent-seo-engineBased on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Run on your computer in
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 12, 2026
The registry name was verified with the GitHub account davidmosiah, which owns the repo
Code last changed 9 days ago
Uses MIT
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Ask, share a tip or report that it does not work. Sorted by what people marked helpful.
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Posts here are written by users, not the PopNx team.
No reviews yet
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed 9 days ago, and the latest version (0.1.1) reached the registry 4 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: PostHog MCP Server, Openshorts, Google Ads + Meta Ads + SEO/GEO MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Official PostHog MCP Server for product analytics, feature flags, experiments, and more.
Turn long videos into viral vertical shorts and publish them to TikTok, Instagram and YouTube.
Google Ads, Meta Ads, Google Analytics (GA4) & Search Console MCP server by Ryze AI
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Agent SEO Engine
Local-first SEO scoring, search-intent and opportunity engine for AI agents. Deterministic checks before agents rewrite, refresh or publish content.
mcp-name: io.github.davidmosiah/agent-seo-engine
⭐ If this agent-first tool helps your workflow, please star the repo. Stars make this tooling easier for other builders to discover and help Delx keep shipping open infrastructure.
🧱 Part of the Delx agent stack — 15 open-source MCP servers across body, reach and coordination.
Agent-first SEO scoring, search-intent detection and opportunity prioritization. It packages the useful parts of a production content pipeline into a clean local CLI plus an optional MCP server for Codex, Claude, Cursor, Hermes, OpenClaw and other agent runtimes.
Use it when an agent needs deterministic SEO checks before rewriting, refreshing or publishing content.
manifest, connection_status and privacy_audit surfaces before content toolspipx install agent-seo-engine
With MCP support:
pipx install "agent-seo-engine[mcp]"
Published on PyPI: agent-seo-engine. Release automation uses PyPI Trusted Publishing, so GitHub Actions can publish future versions without long-lived PyPI tokens. See docs/pypi-publishing.md.
agent-seo-engine manifest --client codex
agent-seo-engine doctor agent-seo-engine privacy-audit agent-seo-engine intent "best ai agent framework" agent-seo-engine score --file examples/article.md --primary-keyword "ai agent testing" agent-seo-engine opportunity --impressions 4200 --clicks 80 --position 12.4 --commercial-intent 0.8 agent-seo-engine image-alt --file page.html
All commands return structured JSON by default. Use --format markdown for human review.
agent-seo-mcp
Hermes-style config:
mcp_servers:
agent_seo: command: agent-seo-mcp args: [] sampling: enabled: false
Recommended first calls:
agent_seo_connection_statusagent_seo_privacy_auditagent_seo_score_content| Tool | Purpose |
|---|---|
agent_seo_manifest | Install/runtime guidance for agent clients |
agent_seo_connection_status | Local/offline readiness and optional integration status |
agent_seo_privacy_audit | Draft, analytics and credential boundaries |
agent_seo_detect_intent | Search intent classification |
agent_seo_score_content | Markdown quality checks with exact recommendations |
agent_seo_prioritize_opportunity | GSC-style opportunity scoring |
agent_seo_check_image_alt | Image alt-attribute coverage audit for HTML |
Use agent-seo-engine. First call agent_seo_connection_status and agent_seo_privacy_audit.
Score the draft, then propose only edits tied to failed checks or high-impact opportunities.
Agents should not guess whether a draft is ready. They should call the scoring tool, read exact failed checks, then propose focused edits. The engine is intentionally deterministic and local so repeated agent runs can compare output over time.
python3 -m venv .venv
. .venv/bin/activate pip install -e ".[dev]" pytest python -m compileall -q src