Categories › AI & Agents › Multi-agent, orchestration & workflows
Public MCP for gethal.ai — autonomous AI sales agent. Pricing, features, book a demo.
Remote server: your requests and data go to gethal.ai. Claude Code: claude mcp add --transport http gethal-ai https://gethal.ai/mcp · Claude app: Settings → Connectors → Add custom connector.
The tools this server listed when we connected to it, in its own words.
get_company_info — Returns the company name, operator, contact email, homepage, and a short description of gethal.ai.get_pricing — Returns pricing for all four HAL products (Outreach, inbox-agent, Saga, vitr) plus the Outreach plans (Team, Enterprise) with monthly and yeget_products — Returns the four HAL products (Outreach, inbox-agent, Saga, vitr): what each does, how it works on its own and together with the others, itsget_features — Returns the six core features of gethal.ai with one-line descriptions.get_use_cases — Returns representative B2B sales use cases (outbound prospecting, market expansion, partner-channel sales) with example prompts.get_playbook — Returns the HAL playbook: guides and cheat sheets on working with each product (for Outreach: what HAL does in each pipeline stage, and the get_posts — Returns the latest posts from the gethal.ai blog (https://gethal.ai/blog): title, language, date, excerpt, categories and URL. Posts exist idescribe_hal — Explains how the HAL autonomous sales agent works: the six-stage pipeline (find → research → qualify → quality control → draft → send) and kget_customer_profile — Returns the target customer profile for gethal.ai (industries, team sizes, regions, representative use cases) and any public reference custoNot tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.