calle

💡 Why CALL-E is Different

Unlike traditional voice/calling platforms that rely on prebuilt bots and high-volume calls, CALL-E focuses on goal-driven tasks. You provide a goal, and CALL-E manages the call workflow, adapts dynamically, and delivers structured results, enabling automation of low-frequency, personalized phone tasks that were previously too expensive or custom to automate.

✨ Key Features

• Quick Start - Start using CALL-E within minutes via direct use or integration through Skills, Plugins, SDKs, or APIs.
• Goal-Driven Long Tasks (in development) - Tell CALL-E the goal, and it builds the path to get there. It plans the overall task, designs the calling approach, executes the calls, learns from real outcomes, and continuously improves its strategy over time. CALL-E is not just making calls one by one — it is learning how to achieve each phone-based goal more reliably.
• Reliable Voice Interaction - CALL-E handles natural conversation flow, tone, interruptions, and changing call conditions in real time.

🧩 Other Features

Feature	Description
Live Task Progress	Track task from planning to final result with status, activity history, call outcomes, and next steps.
Smart Goal Clarification	Ask missing details before execution (who, when, language, success criteria).
Managed Call Execution	Handle number/line setup, outbound dialing, monitoring, and result capture.
Actionable Call Results	Return summaries, transcripts, metadata, and recommended next steps.
Scheduled & Batch Calling	Schedule individual or batch calls; clarify timing when needed.
In-Task Optimization	Learn from prior attempts and adjust next steps.
Continuous Improvement	Improve over time based on historical patterns and outcomes.
Real-World Voice Runtime	Handle live pickup, voicemail, screening, hold, transfers, silence, interruptions.
Use Wherever Work Happens	Integrate via Skills, Plugins, MCP, ChatGPT Apps, SDKs, APIs, or enterprise systems.
Built-In Safety & Governance	Number governance, rate limits, concurrency controls, blocklists, kill switches, redacted logs, audit trails.

🚀 Get Started

Choose the integration path that matches how you want to use CALL-E.

Goal	Use	Start here
Install CALL-E into an AI agent	Agent Install	Copy the stable prompt below or use the manual install guide.
Connect a Streamable HTTP MCP client	MCP	Use the openagent_oauth MCP guide.
Add CALL-E with a server SDK	SDK	Install the published TypeScript or Python SDK and follow the SDK docs.
Call CALL-E from your backend directly	API	Use the Developer API reference and curl example below.

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🤖 Agent Install

For agent installs, the simplest path is to ask your agent to install CALL-E at user-level/global scope, so the same agent can use calle across projects.

Copy this stable prompt into a local agent that can run shell commands or install skills:

Install CALL-E for me: https://open.heycall-e.com/document/mcp-archive/CALL-E-installation-guide.md

The linked guide contains the full install steps, so this prompt can stay unchanged when those steps evolve.

For manual setup, see the manual install guide.

⚠️ Safety notice: CALL-E can place real outbound phone calls. Always verify the plan, recipient, and user intent before running a phone task.

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SDK

CALL-E server SDKs are published for trusted backend services, workers, and automation systems that create and monitor call tasks.

Start with the public docs: