xpoz-setup
Set up and authenticate the Xpoz MCP server for social media intelligence. Required by all Xpoz skills. Handles server configuration, OAuth login, and connection verification with minimal user interaction.
Best use case
xpoz-setup is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Set up and authenticate the Xpoz MCP server for social media intelligence. Required by all Xpoz skills. Handles server configuration, OAuth login, and connection verification with minimal user interaction.
Teams using xpoz-setup should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/xpoz-setup/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How xpoz-setup Compares
| Feature / Agent | xpoz-setup | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Set up and authenticate the Xpoz MCP server for social media intelligence. Required by all Xpoz skills. Handles server configuration, OAuth login, and connection verification with minimal user interaction.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
AI Agents for Coding
Browse AI agent skills for coding, debugging, testing, refactoring, code review, and developer workflows across Claude, Cursor, and Codex.
AI Agents for Marketing
Discover AI agents for marketing workflows, from SEO and content production to campaign research, outreach, and analytics.
AI Agents for Startups
Explore AI agent skills for startup validation, product research, growth experiments, documentation, and fast execution with small teams.
SKILL.md Source
# Xpoz Setup
**Automatic MCP server setup and authentication for Xpoz — the social intelligence platform.**
This skill is a prerequisite for all Xpoz skills. It configures the Xpoz MCP server and handles OAuth login so your agent can access Twitter, Instagram, TikTok, and Reddit data.
---
## Agent Instructions
**If you're an agent reading this, follow these steps in order. The user should not need to run any commands.**
### Step 1: Check if already authenticated
```bash
mcporter call xpoz.checkAccessKeyStatus
```
- If `hasAccessKey: true` → **STOP. Xpoz is ready.** Return to the skill that sent you here.
- If it fails, returns `false`, or the server isn't configured → continue.
### Step 2: Check if mcporter is available
```bash
which mcporter
```
If not found, **stop and inform the user.** mcporter is included with OpenClaw — if it's missing, the OpenClaw installation may be incomplete. Do not install mcporter independently. Tell the user:
> "mcporter is required but not found. It's included with OpenClaw — please ensure OpenClaw is properly installed."
### Step 3: Add the Xpoz MCP server
```bash
mcporter config add xpoz https://mcp.xpoz.ai/mcp --auth oauth
```
This registers Xpoz as a remote HTTP MCP server with OAuth authentication. mcporter auto-discovers the OAuth endpoints from `https://mcp.xpoz.ai/.well-known/oauth-authorization-server`.
If the server already exists but auth failed, skip this step.
### Step 4: Detect environment (local vs remote)
Determine whether you're running on a local machine with a browser or a remote/headless server:
```bash
# Check for display server (Linux) or macOS
echo "DISPLAY=${DISPLAY:-unset} WAYLAND=${WAYLAND_DISPLAY:-unset} OS=$(uname)"
```
**Local machine** = any of these is true:
- `$DISPLAY` is set (Linux with X11)
- `$WAYLAND_DISPLAY` is set (Linux with Wayland)
- `uname` returns `Darwin` (macOS)
**Remote/headless** = none of the above.
Then follow the appropriate flow:
---
### Step 4a: LOCAL — Browser flow (automatic)
```bash
mcporter config login xpoz
```
mcporter opens the user's default browser, the user authorizes, the callback completes automatically. Tell the user:
> "I'm connecting you to Xpoz for social media intelligence. A browser window should open — just sign in with your Google account and click Authorize. That's all you need to do!"
Then skip to **Step 5**.
---
### Step 4b: REMOTE — Manual code flow
On a headless server, `mcporter config login xpoz` will crash trying to open a browser. Instead, handle the OAuth flow manually:
#### 4b-i. Build the authorization URL
Run this script to generate the OAuth authorization URL with PKCE:
```bash
bash "$(dirname "$0")/../xpoz-setup/scripts/oauth-remote.sh" get-url
```
Or if the script isn't available, build it manually:
```python
import secrets, hashlib, base64, urllib.parse, os
os.makedirs(os.path.expanduser('~/.cache/xpoz-oauth'), exist_ok=True)
# Generate PKCE
verifier = secrets.token_urlsafe(64)
challenge = base64.urlsafe_b64encode(hashlib.sha256(verifier.encode()).digest()).rstrip(b'=').decode()
state = secrets.token_urlsafe(32)
params = {
'response_type': 'code',
'code_challenge': challenge,
'code_challenge_method': 'S256',
'redirect_uri': 'https://www.xpoz.ai/oauth/openclaw',
'state': state,
'scope': 'mcp:tools',
'resource': 'https://mcp.xpoz.ai/',
}
# Step 1: Dynamic client registration
import json, urllib.request
reg_req = urllib.request.Request(
'https://mcp.xpoz.ai/oauth/register',
data=json.dumps({
'client_name': 'OpenClaw Agent',
'redirect_uris': ['https://www.xpoz.ai/oauth/openclaw'],
'grant_types': ['authorization_code'],
'response_types': ['code'],
'token_endpoint_auth_method': 'none',
}).encode(),
headers={'Content-Type': 'application/json'},
)
reg_resp = json.loads(urllib.request.urlopen(reg_req).read())
params['client_id'] = reg_resp['client_id']
auth_url = 'https://mcp.xpoz.ai/oauth/authorize?' + urllib.parse.urlencode(params)
# Save state for later token exchange
with open(os.path.expanduser('~/.cache/xpoz-oauth/state.json'), 'w') as f:
json.dump({'verifier': verifier, 'state': state, 'client_id': reg_resp['client_id'], 'redirect_uri': params['redirect_uri']}, f)
print(auth_url)
```
#### 4b-ii. Send the URL to the user
Send the authorization URL to the user via the active chat channel with a message like:
> "I need to connect to Xpoz for social media search. Please open this link and sign in with your Google account:
>
> [authorization URL]
>
> After you authorize, Xpoz will show you an authorization code. Just paste it back to me here!"
#### 4b-iii. WAIT for the user's reply
**STOP here and wait.** Do not proceed until the user replies with the authorization code. The user needs time to open the link, sign in, and authorize. Only continue once they paste the code back in chat.
#### 4b-iv. Extract the code from the user's reply
The user will paste back either:
- Just the code: `AUTH_CODE_HERE`
- Or a full URL: `https://www.xpoz.ai/oauth/openclaw?code=AUTH_CODE_HERE&state=...`
If they pasted a URL, extract the `code` parameter. If they pasted a raw string, use it directly.
#### 4b-v. Exchange the code and configure mcporter
Run the exchange script with the code. This exchanges the code for a token and configures mcporter **in one step** — the token is never printed or exposed:
```bash
bash "$(dirname "$0")/../xpoz-setup/scripts/oauth-remote.sh" exchange AUTH_CODE_HERE
```
Expected output: `OK: Xpoz configured successfully`
**Security notes:**
- The access token is never printed to stdout or logs
- The OAuth state file (`~/.cache/xpoz-oauth/state.json`) is automatically deleted after exchange
- Tokens are stored only in the mcporter config
Then proceed to **Step 5** to verify.
---
### Step 5: Verify authentication
```bash
mcporter call xpoz.checkAccessKeyStatus
```
Confirm `hasAccessKey: true`. If not:
- **Local:** Retry `mcporter config login xpoz`
- **Remote:** Ask the user if they completed authorization, resend the link if needed
### Step 6: Return to the calling skill
Setup is complete. Go back to the skill that referenced this one and continue fulfilling the user's request. Don't make the user wait — they asked you to do something, auth was just a prerequisite.
---
## What Is Xpoz?
Xpoz is a remote MCP server for social media intelligence:
- **Platforms:** Twitter, Instagram, TikTok, Reddit
- **Scale:** 1.5B+ posts indexed
- **Features:** Search posts by keyword, find people by topic, profile lookup, engagement filtering, CSV export
- **Auth:** OAuth 2.1 with dynamic client registration (PKCE, public clients)
- **Setup:** Fully remote — no npm packages, no local installation, no API keys to copy
**Free tier available** — no credit card required.
Website: [xpoz.ai](https://xpoz.ai)
---
## Technical Details
### OAuth Discovery
Xpoz publishes a standard OAuth 2.1 authorization server metadata document:
```
GET https://mcp.xpoz.ai/.well-known/oauth-authorization-server
```
Key endpoints:
- **Authorization:** `https://mcp.xpoz.ai/oauth/authorize`
- **Token:** `https://mcp.xpoz.ai/oauth/token`
- **Dynamic registration:** `https://mcp.xpoz.ai/oauth/register`
- **PKCE:** S256 supported
- **Public clients:** `token_endpoint_auth_methods_supported` includes `none`
mcporter handles all of this automatically — you don't need to call these endpoints directly.
### Server Configuration
After setup, the mcporter config will contain:
```json
{
"xpoz": {
"transport": "http",
"url": "https://mcp.xpoz.ai/mcp"
}
}
```
OAuth tokens are managed by mcporter separately from the server config.
---
## Troubleshooting
| Problem | Solution |
|---------|----------|
| `mcporter` not found | Ensure OpenClaw is properly installed (mcporter is included) |
| Browser doesn't open | Headless server — capture the URL from stdout and send to user |
| "Unauthorized" after login | `mcporter config login xpoz --reset` |
| Auth times out | User may not have completed the browser flow — resend the URL |
| Server already exists | Skip Step 3, just run Step 4 |
---
## Plans & Pricing
| Plan | Price | Includes |
|------|-------|----------|
| Free | $0/mo | Limited searches, all platforms |
| Pro | $20/mo | Unlimited searches |
| Max | $200/mo | Unlimited + priority + bulk export |
Details: [xpoz.ai](https://xpoz.ai)
---
**Built for ClawHub • Prerequisite for all Xpoz skills**Related Skills
agent-memory-setup
Set up the full OpenClaw agent memory system with 3-tier memory (HOT/WARM/COLD), daily logs, semantic search (QMD), and lossless context management (Lossless Claw). Use when onboarding a new agent, setting up memory for a fresh OpenClaw instance, or when asked to install the memory system on a new agent. Triggers on "set up memory", "install memory system", "onboard new agent memory", "memory setup", "agent onboarding", "configure agent memory", "add memory to my agent", "how do I set up memory", "initialize memory", "memory system for OpenClaw".
agent-memory-setup-v2
Create a 3-tier memory directory structure (HOT/WARM/COLD) for OpenClaw agents and configure the built-in memory-core plugin to use Google Gemini Embeddings 2 (gemini-embedding-2-preview) for semantic memory search. Creates memory/ directories and stub files only — no code execution or external API calls from the setup script. After setup, the agent's memory_search tool uses Gemini's cloud embedding API to index memory files. Requires a free Google Gemini API key. Use when setting up a new agent's memory system or asked about semantic memory search. Triggers on "set up memory", "memory setup", "agent memory", "gemini memory", "semantic search memory", "onboard new agent".
clawcoach-setup
One-time setup for ClawCoach AI health coaching. Configures your profile, goals, macro targets, dietary preferences, and coach personality.
xpoz-social-search
Search Twitter, Instagram, and Reddit posts in real time. Find social media mentions, track hashtags, discover influencers, and analyze engagement — 1.5B+ posts indexed. Social listening, brand monitoring, and competitor research made easy for AI agents.
setup-deploy
Configure deployment settings for land-and-deploy. Detects your deploy platform (Fly.io, Render, Vercel, Netlify, Heroku, GitHub Actions, custom), production URL, health check endpoints, and deploy commands. Use when: "setup deploy", "configure deployment", "set up land-and-deploy", "how do I deploy".
setup-browser-cookies
Import cookies from your real Chromium browser into the headless browse session. Interactive picker UI lets you select which cookie domains to import. Use before QA testing authenticated pages. Use when: "import cookies", "login to the site", "authenticate the browser", "use my cookies".
telegram-groupchat-setup
Configure a MoltBot agent to participate in a Telegram group chat. Automates adding the group to the allowlist, setting mention patterns, and configuring sender permissions — all via a single gateway config patch. Use when the user wants to set up their bot in a Telegram group, enable cross-bot communication, or configure group mention gating.
a2a-delegation-setup
Guided setup and troubleshooting for installing, enabling, configuring, verifying, and updating @aramisfa/openclaw-a2a-outbound in OpenClaw.
A/B Test Setup Skill
## Trigger
setup-automatik
Facilitate the installation and management of VPS solutions using the Setup Automatik engine (powered by Orion Design). Use when the user wants to install, configure, or manage tools like Traefik, Portainer, Chatwoot, N8N, and other open-source applications on a Linux VPS.
setup
Set up a new autoresearch experiment interactively. Collects domain, target file, eval command, metric, direction, and evaluator.
openclaw-setup-guide
Step-by-step 6-part guide to set up OpenClaw AI assistant on VPS with WhatsApp, Google OAuth, backups, security, automation, and verification.