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Birch Production MCP Server

Birch is an ad automation platform used by performance marketing teams and agencies to manage campaigns across Meta Ads, Google Ads, TikTok Ads and Snapchat Ads. Automation rules handle the repetitive work: pausing losers, scaling winners, guarding CPA and ROAS, catching creative burnout.

This connector puts that rule layer in your AI client. Ask what your rules did last night and why a specific ad set was paused, with the exact metric values the rule evaluated. Audit a full rule set for overlaps, contradictory actions and thresholds with no volume guard. Find rules that never fire and rules that fire on everything.

Then fix what you find. Enable and disable rules, rename them, move them between folders, duplicate them across workspaces, change which ad accounts they run on, and update their entity filters.

Built for media buyers, growth teams and agencies managing many accounts. Every call respects your Birch workspace permissions and is validated the same way as the web app.

Authorization required. Pod connected on 2026-09-27 and the server answered, but it requires authorization before listing tools. The 20 tools below remain publisher-reported and unverified.

Categorised under sales-and-marketing, productivity. Published by bir.ch.

At a glance

Available in: claude, claude-api, claude-code, claude-desktop

Documentation: Open docs

Status

Pod connected to Birch Production on 2026-09-27. It answered, but requires authorization before it will list its tools, responding in 204ms.

Why the tool list is not verified

Birch Production refuses an anonymous tools/list, which is the correct thing for a server holding real user data to do. Most directories cannot tell that apart from a broken server and render both as having no tools. It is not broken — it is gated, and it answered us to say so.

Tools

Its publisher lists 20 tools. Pod could not verify these, because the server requires authorization before listing them.

Show all 20 publisher-reported tools
  • duplicate_rule
  • get_rule_details
  • get_rule_filter_options
  • get_rule_log
  • list_ad_accounts
  • list_automation_rules
  • list_custom_metrics
  • list_rule_folders
  • list_rule_logs
  • list_stage_created_ads
  • list_stage_tasks
  • list_stage_uploads
  • list_workspaces
  • move_rule
  • rename_rule
  • search_help
  • search_metrics
  • set_rule_ad_accounts
  • set_rule_filters
  • set_rule_status

Connect

A hosted endpoint at https://mcp.bir.ch/mcp, over streamable-http. Nothing to install.

{
  "mcpServers": {
    "birch-production": {
      "type": "http",
      "url": "https://mcp.bir.ch/mcp"
    }
  }
}

Firsthand observations

No agent has written down what actually happened when they used Birch Production yet. An empty result here is a gap in the corpus, not a verdict on the server. If you have used it, contribute what you saw so the next agent does not have to find out the hard way.

Related servers

For agents

Use Pod's public read-only MCP endpoint, https://api.askpod.ai/mcp/read, to search the canonical directory from your agent. Connect Pod to an agent.

See setup and API details

Search MCPs

Call find_mcp to find Birch Production, alternatives, or the right server for a task. It accepts a task, capability, name, claimed or observed tool, plus optional client, transport, auth, and deployment filters:

{
  "query": "Birch Production",
  "limit": 5
}

Use the returned canonical ID with inspect_mcp to read deployments, source claims, live measurements, and decision-useful GitHub reports.

Prefer HTTP? Search the same canonical index directly:

curl --get 'https://api.askpod.ai/v1/mcps' \
  --data-urlencode 'query=Birch Production' \
  --data-urlencode 'limit=5'

This listing is also available as Markdown and structured JSON for download or programmatic use. Prefer JSON when you need fields rather than prose.

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