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  3. VoiceMoat
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Health: ActiveRecent health check succeeded.Last checked 10/2/2026, 10:16:16 PM

VoiceMoat

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social-mediacontent-creationtwitterlinkedinremote-mcp

Score, refine, analyze, schedule, and publish Twitter/X and LinkedIn posts through a hosted MCP endpoint.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON โ–พ

Client Config & Setup

Remote HTTP
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "voicemoat": {
      "url": "https://app.voicemoat.com/api/mcp"
    }
  }
}

๐Ÿ’ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (15) Directory Badge Claim listing Alternatives๐ŸŽฏ More in Marketing

Overview

VoiceMoat MCP server connects an assistant to your VoiceMoat account and connected Twitter/X and LinkedIn profiles through remote MCP. It can inspect voice profiles and analytics, score or improve drafts, generate ideas and hooks, and find tracked-creator inspiration. Publishing and scheduling require a preview followed by a confirmed second call. Reach for it when you want assistant-driven content work based on your own publishing history; a VoiceMoat Pro or Enterprise plan is required.

Use cases

โ€ขScore a Twitter/X or LinkedIn draft against a platform-specific voice profile
โ€ขImprove a draft and generate hooks or ideas for a topic
โ€ขReview recent analytics and identify top-performing posts
โ€ขPreview and confirm a post before publishing or scheduling it
โ€ขFind public LinkedIn inspiration from tracked creators

Key features

โ€ขTwitter/X and LinkedIn profile access
โ€ขVoice Match scoring from 0 to 100
โ€ขDraft improvement, ideas, and hook generation
โ€ขAnalytics and post retrieval for windows up to 30 days
โ€ขTracked-creator LinkedIn inspiration search
โ€ขPreview-confirmed publishing and scheduling

Capabilities & Tool Schemas (15) ~203 tokensApproximate context cost of this serverโ€™s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server โ€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by VoiceMoat.

get_me

Which VoiceMoat account is connected, and its plan

list_profiles

Your connected Twitter and LinkedIn profiles

get_voice_profile

Your trained voice profile for a platform

get_voice_insights

Your Voice Lab analysis, when you have run it

get_analytics

Totals and the top post for a window (up to 30 days)

list_posts

Your best posts in a window

How VoiceMoat works

What VoiceMoat MCP server does

VoiceMoat MCP server gives an MCP-compatible assistant access to selected parts of a VoiceMoat account. It works with connected Twitter/X and LinkedIn profiles, using each platform's separate voice profile where available. The assistant can inspect account details, profiles, voice analysis, analytics, posts, and tracked creators.

Content tools cover several stages of a posting workflow. An assistant can score a draft against the relevant voice profile on a 0โ€“100 scale, improve an existing draft, generate topic-based post ideas, or suggest three opening lines. It can also search public LinkedIn posts from creators tracked in VoiceMoat, although that search is not available in ChatGPT.

How it works

The repository contains connection metadata and documentation rather than the server implementation. VoiceMoat hosts the service at https://app.voicemoat.com/api/mcp, using Streamable HTTP as the transport. Authentication uses OAuth: the client opens a VoiceMoat sign-in page, so no API key is configured in the MCP connection.

Read operations do not consume credits. Scoring, idea generation, hook suggestions, and draft improvement use credits from the same pool as the VoiceMoat dashboard. Analytics can cover a period of up to 30 days, and LinkedIn metrics are only as current as the latest LinkedIn synchronization.

VoiceMoat MCP server treats publishing as a two-step operation. The first call returns a preview containing the exact text, destination account, and a one-time confirmation code without posting. A second call must provide that code. If the text or account changes, the approval is rejected and a new preview is required.

Setup and configuration

Add the remote endpoint to an MCP client and complete the OAuth sign-in flow. The documented clients include Claude, ChatGPT developer mode, Grok, Claude Code, Cursor, and Cline. Claude Code can install the repository as a plugin or add the HTTP server directly. Cursor accepts the endpoint in either a user-level or project-level mcp.json; Cline uses its remote-server settings.

A VoiceMoat account can connect on any plan, but the tools require a Pro or Enterprise plan. When a plan does not include MCP access, tool calls explain the restriction; upgrading does not require reconnecting. The repository's MIT license applies to its documentation and connection settings, not to the hosted service or unpublished server code.

Tools and capabilities

The 15 exposed tools include:

  • Account and profile inspection: get_me, list_profiles, get_voice_profile, and get_voice_insights.
  • Performance and content retrieval: get_analytics, list_posts, and get_post.
  • Creator research: list_creators and search_inspiration.
  • Draft assistance: score_voice_match, get_post_ideas, improve_post, and suggest_hooks.
  • Publishing: publish_post and schedule_post, both protected by preview and confirmation.

Limitations and notes

VoiceMoat MCP server operates only on the connected user's account and profiles. It does not attach images, delete posts, reply to other users' posts, or send messages. The assistant is responsible for writing new drafts; VoiceMoat evaluates, revises, schedules, and publishes them.

A Voice Match score measures similarity to the user's previous posts, not expected performance. Reading data is available through the tools, but content-generation operations consume credits. The service is hosted, and this repository does not provide source code or a local server to run.

Read the full README โ†’View source on GitHub โ†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks โ€” not a rating.

Last commit
6d ago
Most recent push to the default branch.
Tools exposed
15
Callable tools this server registers over MCP.
Directory activity
1 upvotes
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about VoiceMoat

VoiceMoat is an MCP server that connects assistants to a VoiceMoat account and its connected Twitter/X and LinkedIn profiles. Its main tools read voice profiles and analytics, score and improve drafts, generate ideas and hooks, search tracked-creator inspiration, and preview, publish, or schedule posts.

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Technical Specs & Signals

Category๐ŸŽฏMarketing
More technical detailsExpand โ–พ
TransportSSE (Remote)
LicenseMIT
ClientsClaude Desktop, Cursor, Cline / VS Code, Claude Code
Last updatedOct 6, 2026
Views1
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit6d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Oct 2, 2026
56Quality signal: Good ยท 56/100How this signal is calculated โ–พ
Server availabilityNot measured

Not scored for repo-hosted servers โ€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools27/30
Adoption & activity4/15
Community engagement1/10

A guidance signal from public completeness & health data โ€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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