TimeToPost MCP server

TimeToPost MCP server

MCP server for TimeToPost that lets AI agents list accounts, schedule/publish/cancel posts, manage drafts and approvals, run AutoSEO, and read analytics via 32 tools.

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TimeToPost MCP server

An MCP server that lets AI agents (Claude, etc.) drive TimeToPost: list connected accounts, draft/schedule/publish/cancel posts, run AutoSEO, and read analytics. It's a thin adapter over the existing REST API — every tool calls api.timetopost.co with the caller's token, so all auth, org-scoping, validation and publishing logic is reused (never duplicated).

The exact same 32 tools are exposed identically on both surfaces this package ships alongside — the hosted Streamable HTTP endpoint (backend/src/mcp/server.ts) and this npm/stdio package (mcp/src/tools.ts) — enforced by a CI parity test (backend/src/__tests__/unit/mcp-parity.test.ts).

Tools (32)

Call get_capabilities first — it returns the authoritative, machine-readable map of everything below (lifecycles, idempotency contracts, terminology) and should be trusted over inferences from other tools' raw fields.

Core whoami · get_capabilities · list_integrations · get_tiktok_creator_info · list_boards

Posts & publishing list_posts · get_post · schedule_post · publish_post · cancel_post · publish_thread · scheduler_status

Engine drafts (human-approval queue) create_digest_drafts · create_drafts (alias of create_digest_drafts — same mechanism, name doesn't imply digest-only) · list_drafts · approve_draft · reject_draft

Unified approvals rail list_approvals — READ-ONLY: one call returns everything pending human review across all four automation sources (posts/EngineDraft, trends/Trend-Rider, build-in-public tweet drafts, and warm-lead engager DMs), normalized into a common shape with per-source counts. approve_draft/reject_draft above remain the only MCP-side approval actions (for the posts source); approving a trend, build-in-public or DM item is a dashboard action for now.

Analytics & brands

Note: a "brand" here is a niche/play attribution tag on a post (see list_brands) — unrelated to BrandVoice, the org's single AI writing-style profile used to guide AI content generation. An org has one BrandVoice but can have many brands.

get_engagement_summary · get_optimal_times · get_post_metrics · list_brands · get_engagement_by_tag

AutoSEO (any-blog AI content engine — see .claude/skills / get_capabilities for the full connect → integrate → verify → configure → generate flow) autoseo_connect_site · autoseo_integration_kit · autoseo_verify_site · autoseo_list_sites · autoseo_configure · autoseo_auto_configure · autoseo_propose_topics · autoseo_generate_post

Public docs: https://timetopost.co/mcp

Install (any MCP client — Claude Code, Claude Desktop, Cursor)

Published on npm as timetopost-mcp:

{
  "mcpServers": {
    "timetopost": {
      "command": "npx",
      "args": ["-y", "timetopost-mcp"],
      "env": {
        "TIMETOPOST_API_URL": "https://api.timetopost.co",
        "TIMETOPOST_API_TOKEN": "${TIMETOPOST_API_TOKEN}"
      }
    }
  }
}

Or via the Claude Code CLI:

claude mcp add timetopost \
  -e TIMETOPOST_API_URL=https://api.timetopost.co \
  -e TIMETOPOST_API_TOKEN=<your token> \
  -- npx -y timetopost-mcp

Develop from source

cd mcp
npm install
npm run build   # outputs dist/src/

Point your MCP config at node mcp/dist/src/index.js instead of npx.

Smoke test:

npm run build && TIMETOPOST_API_TOKEN="<jwt>" npm run test:smoke

Prefer zero setup? Use the hosted server (browser OAuth, no tokens)

The hosted Streamable HTTP server is live at https://api.timetopost.co/mcp — add it to any remote-capable MCP client and sign in from the browser (email + 6-digit code). No installation, no token pasting:

claude mcp add --transport http timetopost https://api.timetopost.co/mcp

The OAuth access token it mints is a regular TimeToPost API token — visible and revocable in Settings → API — so org-scoping and plan limits are enforced by the backend exactly as for the web app. This npm package remains the right choice for clients that only speak stdio, or when you want the process local.

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