Social Neuron MCP Server

50+ AI tools for end-to-end social media management — brand extraction, video generation, multi-platform scheduling, analytics, and closed-loop optimization.

@socialneuron/mcp-server

52 MCP tools for AI-powered social media management. Create content, schedule posts, track analytics, and optimize performance — all from Claude Code or any MCP client.

npm version License: MIT

Quick Start

1. Authenticate

npx -y @socialneuron/mcp-server login --device

This opens your browser to authorize access. Requires a paid Social Neuron plan (Starter or above). See pricing.

2. Add to Claude Code

claude mcp add socialneuron -- npx -y @socialneuron/mcp-server
<details> <summary><strong>Claude Desktop</strong></summary>

Add to your claude_desktop_config.json:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
  • Linux: ~/.config/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "socialneuron": {
      "command": "npx",
      "args": ["-y", "@socialneuron/mcp-server"]
    }
  }
}
</details> <details> <summary><strong>VS Code</strong></summary>

Add to .vscode/mcp.json in your workspace:

{
  "servers": {
    "socialneuron": {
      "command": "npx",
      "args": ["-y", "@socialneuron/mcp-server"]
    }
  }
}
</details> <details> <summary><strong>Cursor</strong></summary>

Add to .cursor/mcp.json in your workspace:

{
  "mcpServers": {
    "socialneuron": {
      "command": "npx",
      "args": ["-y", "@socialneuron/mcp-server"]
    }
  }
}
</details>

3. Start using

Ask Claude: "What content should I post this week?" or "Schedule my latest video to YouTube and TikTok"

What You Can Do

Ask Claude things like:

  • "Generate 5 content ideas about sustainable fashion for Gen Z"
  • "Create a 30-second video ad for my product launch"
  • "Schedule this image to Instagram and LinkedIn at 9am tomorrow"
  • "Show me my best-performing content this month"
  • "What are the trending topics in my niche right now?"
  • "Check my analytics and suggest improvements"
  • "Set up autopilot to post 3 times per week"

Tool Categories (52 tools)

These tools are available to AI agents (Claude, Cursor, etc.) via the MCP protocol.

Content Lifecycle

CategoryToolsWhat It Does
Ideationgenerate_content, fetch_trends, adapt_content, get_ideation_contextAI-powered content ideas and trend research
Contentgenerate_video, generate_image, generate_voiceover, generate_carousel, check_status, create_storyboardVideo, image, voiceover, and carousel creation with 20+ AI models
Distributionschedule_post, schedule_content_plan, find_next_slots, list_connected_accounts, list_recent_postsMulti-platform publishing, scheduling, and slot optimization
Analyticsfetch_analytics, refresh_platform_analyticsPerformance tracking across all platforms
Insightsget_performance_insights, get_best_posting_timesData-driven content optimization

Management & Optimization

CategoryToolsWhat It Does
Brandextract_brand, get_brand_profile, save_brand_profile, update_platform_voiceBrand identity and voice management
Commentslist_comments, reply_to_comment, post_comment, moderate_comment, delete_commentSocial engagement management
Planningplan_content_week, save_content_plan, get_content_plan, update_content_plan, submit_content_plan_for_approvalContent calendar and approval workflows
Plan Approvalscreate_plan_approvals, respond_plan_approval, list_plan_approvalsReview and approve content plans
Autopilotlist_autopilot_configs, get_autopilot_status, update_autopilot_configAutomated content scheduling
Qualityquality_check, quality_check_planPre-publish content validation
Creditsget_credit_balance, get_budget_statusUsage and budget tracking
Loopget_loop_summaryClosed-loop optimization feedback

Utilities

CategoryToolsWhat It Does
Extractionextract_url_contentExtract content from URLs, YouTube, articles
Screenshotscapture_app_page, capture_screenshotVisual documentation and monitoring
Remotionlist_compositions, render_demo_videoProgrammatic video rendering
Usageget_mcp_usageAPI usage monitoring
YouTubefetch_youtube_analyticsYouTube-specific deep analytics
Discoverysearch_toolsFind tools by keyword with progressive detail levels (saves 98% tokens vs loading all tools)

Authentication

Three auth methods, in order of recommendation:

Device Code (Recommended)

npx -y @socialneuron/mcp-server login --device

Opens browser, you approve, CLI receives API key automatically.

Browser Flow

npx -y @socialneuron/mcp-server login

Browser-based OAuth flow.

API Key Paste

npx -y @socialneuron/mcp-server login --paste

Generate a key at socialneuron.com/settings/developer, paste it in.

Keys are stored in your OS keychain (macOS Keychain, Linux secret-tool) or file fallback.

Windows users: The file fallback (~/.config/social-neuron/credentials.json) does not have strong permission enforcement on NTFS. For production use on Windows, set the SOCIALNEURON_API_KEY environment variable instead.

Pricing

MCP access requires a paid plan:

PlanPriceCredits/moMCP Access
Free$0100
Starter$29/mo800Read + Analytics
Pro$79/mo2,000Full access
Team$199/mo6,500Full access + Multi-user

Sign up at socialneuron.com/pricing.

Scopes

Each API key inherits scopes from your plan. Tools require specific scopes to execute.

ScopeWhat you can do
mcp:readAnalytics, insights, brand profiles, content plans, quality checks, screenshots, usage stats, credit balance
mcp:writeGenerate content (video, image, voiceover, carousel), create storyboards, save brand profiles, plan content
mcp:distributeSchedule posts, publish content plans
mcp:analyticsRefresh analytics, YouTube deep analytics
mcp:commentsList, reply, post, moderate, delete comments
mcp:autopilotConfigure and monitor automated scheduling
mcp:fullAll of the above

CLI Reference

These commands run directly in your terminal — no AI agent needed. Useful for scripts, CI/CD, and quick checks.

After global install (npm i -g @socialneuron/mcp-server), use socialneuron-mcp directly. Otherwise, prefix with npx @socialneuron/mcp-server.

# Auth
socialneuron-mcp login [--device|--paste]
socialneuron-mcp logout

# Deterministic CLI (no LLM)
socialneuron-mcp sn publish --media-url <url> --caption <text> --platforms <list> --confirm
socialneuron-mcp sn status --job-id <id>
socialneuron-mcp sn posts --days 7 --platform youtube
socialneuron-mcp sn refresh-analytics
socialneuron-mcp sn preflight --check-urls
socialneuron-mcp sn oauth-health --json
socialneuron-mcp sn oauth-refresh --platform instagram
socialneuron-mcp sn quality-check --content "your text here"
socialneuron-mcp sn autopilot
socialneuron-mcp sn usage
socialneuron-mcp sn loop
socialneuron-mcp sn credits

# Agent-native CLI v2
socialneuron-mcp sn tools [--module ideation] [--scope mcp:write]  # List/filter all 52 tools
socialneuron-mcp sn info                                            # Version, auth, credits, tool count
socialneuron-mcp sn plan list|view|approve                          # Content plan management
socialneuron-mcp sn preset list|show|save|delete                    # Platform presets (6 built-in)

# Interactive REPL
socialneuron-mcp repl

# Add --json to any command for machine-readable output

Automation Flow (E2E Loop)

The full autonomous content loop using MCP tools:

  1. get_loop_summary — assess project state (content count, scheduled posts, insights)
  2. plan_content_week — generate a content plan based on insights and trends
  3. generate_video / generate_image — create media assets from the plan
  4. check_status — poll async jobs until assets are ready
  5. schedule_post — distribute content to connected platforms
  6. (wait for analytics collection) — platform data is fetched automatically
  7. refresh_platform_analytics — trigger a manual analytics refresh
  8. get_performance_insights — read what worked and what didn't
  9. Loop back to step 1 with new insights

Each iteration produces smarter content as performance data feeds back into the planning step.

Security

  • All API keys are hashed before storage — we never store plaintext keys
  • Credentials stored in your OS keychain (macOS Keychain, Linux secret-tool) or environment variable
  • SSRF protection on all URL parameters with DNS rebinding prevention
  • Rate limiting per user with per-tool limits for expensive operations
  • Agent loop detection prevents runaway automation
  • Telemetry is off by default — opt in with SOCIALNEURON_TELEMETRY=1

See SECURITY.md for our vulnerability disclosure policy and credential safety details.

Telemetry

Telemetry is off by default. No data is collected unless you explicitly opt in.

To enable: Set SOCIALNEURON_TELEMETRY=1 in your environment.

To disable: DO_NOT_TRACK=1 or SOCIALNEURON_NO_TELEMETRY=1 always disables telemetry, even if SOCIALNEURON_TELEMETRY=1 is set.

When enabled, the following anonymous metrics are collected via PostHog:

  • Tool name invoked
  • Success or failure status
  • Invocation duration (ms)

No personal content, API keys, or request payloads are ever collected. Your user ID is hashed (SHA-256) before transmission.

posthog-node is an optional dependency — if it is not installed, telemetry is a silent no-op regardless of environment variables.

Examples

See the examples repo for prompt-driven workflow templates:

  • Weekly content batch planning
  • Cross-platform content repurposing
  • Performance review and optimization loops
  • Brand-aligned content generation
  • Comment engagement automation

Links

License

MIT - see LICENSE

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