BotMape

@BotMape list all AI agents in our account and show me which ones have been active in the last 7 days

Found 4 AI agents in your BotMape account: 1. **Support Bot** (ID: agt_8x9k2) – Active, last message 2 hours ago 2. **Sales Assistant** (ID: agt_3m7p1) – Active, last message yesterday 3. **Onboarding Guide** (ID: agt_5n2q8) – Inactive, last message 14 days ago 4. **FAQ Bot** (ID: agt_1k4r6) – Active, last message 3 days ago Three agents have handled conversations in the past week. The Onboarding Guide appears dormant and may need knowledge-base updates or reactivation.

This example uses the List AI Agents tool to audit your chatbot fleet. Requires a valid BotMape API key with read access. Useful for identifying underutilized agents or confirming deployment status before making configuration changes.

@BotMape add this product documentation to the Support Bot's knowledge base: [paste 500-word help article]. Tag it as 'product-docs' and cite the source as our internal wiki.

Successfully added 1 knowledge entry to Support Bot (agt_8x9k2): - **Content**: 487 words embedded and indexed - **Metadata**: category='product-docs', source='internal wiki' - **Entry ID**: kb_7t3w9 The agent will now reference this article when answering visitor questions about product features. BotMape's embedding process typically completes within 60 seconds; the bot may return generic answers until indexing finishes.

Demonstrates the Add Knowledge tool, which permanently writes to an agent's training corpus. The MCP cannot verify embedding completion—test the agent afterward to confirm retrieval quality. Large uploads may hit BotMape's per-request size limits; chunk long documents into multiple calls if needed.

@BotMape pull last 30 days of platform analytics and identify which agent has the highest average messages per conversation

**BotMape Account Analytics (Last 30 Days)** Total conversations: 1,847 | Total messages: 9,203 | Avg messages/conversation: 4.98 **Per-Agent Breakdown**: 1. Sales Assistant – 6.2 avg msgs/conv (longest interactions, likely complex inquiries) 2. Support Bot – 4.1 avg msgs/conv 3. FAQ Bot – 2.8 avg msgs/conv (quick resolutions) 4. Onboarding Guide – 3.5 avg msgs/conv Sales Assistant drives the deepest engagement, suggesting visitors need more back-and-forth to reach purchase decisions. Consider expanding its knowledge base or adjusting its prompt to surface pricing/demos earlier.

Uses the Get Platform Analytics tool to surface usage patterns across your agent fleet. This read-only call requires API key access but won't modify any configuration. Helpful for quarterly reviews or identifying which bots justify knowledge-base investment. BotMape's analytics API returns account-wide totals; agent-level breakdowns depend on your plan tier.

When BotMape fits your tier-one support triage workflow

A 10-person SaaS team runs first-line support through a BotMape agent that answers billing and onboarding questions before escalating to Slack. The team uses Switchy to add knowledge entries when a new FAQ surfaces, test the agent's reply with Send Message, and pull analytics to see which questions still leak through. BotMape works here because the knowledge base stays under 200 entries, the team updates it weekly not hourly, and the agent creation limit (no delete API) isn't a problem when you only need two agents. If your support load exceeds 500 conversations a day or you prototype agents frequently, the missing delete endpoint becomes a planning tax. For stable, low-churn support bots at small scale, BotMape and Switchy close the loop between ticket patterns and agent training in one workspace.

BotMape handles lead capture when your CRM can't

A three-person agency uses a BotMape agent on their landing page to ask budget, timeline, and project-type questions before booking a call. The founder checks Get Platform Analytics in Switchy each Monday to see conversation volume and uses List Knowledge Entries to audit what the bot knows about their service tiers. This scenario works because the agent's job is narrow (qualify, not close), the knowledge base is static (six service packages), and the team doesn't need to spin up test agents every sprint. BotMape's API key auth and eight-tool scope mean setup takes one Switchy session. If your sales process changes monthly or you A/B test bot personalities, the no-delete constraint and manual knowledge management become friction. For agencies with a fixed offer and predictable inbound flow, BotMape gives you a working qualification layer without Intercom's price tag.

When BotMape becomes your async HR reference desk

A 15-person remote startup points employees to a BotMape agent that answers PTO, expense, and benefits questions pulled from their handbook. The ops lead uses Switchy to bulk-add knowledge entries when policies update and sends test messages to confirm the agent surfaces the right sections. BotMape fits because the knowledge base is append-only (policies don't vanish, they version), employees ask the same 20 questions, and the team doesn't need agent proliferation (one HR bot, one IT bot). The missing delete API doesn't hurt when you're not prototyping. If your handbook changes weekly or you need the bot to trigger Slack workflows, BotMape's toolset is too thin and you'll want a platform with webhooks. For stable internal reference at small-team scale, BotMape and Switchy let your ops person own the bot without engineering help.