talkito — MCP Server by robdmac

by robdmac · MCP Server · ★ 54

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About talkito

TalkiTo TalkiTo lets developers talk, slack and whatsapp with Claude Code and OpenAI Codex. It can be used as a command-line tool, a web extension, and as a Python library. 🚀 Quick Install Option 1: One-liner Install Script (Recommended) Option 2: PyPI Then just run: Install for End Users From Source (Stable) Install for De

bolt-newclaudeclaude-aiclaude-codeclaude-code-communicationclaude-code-mcpcodex-climcp-serveropenai-codexopenai-codex-cli

Quick Facts

Stars54
Forks5
LanguagePython
CategoryMCP Server
LicenseAGPL-3.0
Quality Score36.25/100
Open Issues3
Last Updated2026-02-05
Created2025-06-20
Platformsclaude-code, cli, codex, mcp, python
Est. Tokens~263k

talkito alternative? Top 6 similar tools

Looking for a talkito alternative? If you're comparing talkito with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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Frequently Asked Questions

What is talkito?

talkito is TalkiTo lets developers interact with AI systems through speech across multiple channels (terminal, API, phone). It can be used as both a command-line tool and a Python library.. It is categorized as a MCP Server with 54 GitHub stars.

What programming language is talkito written in?

talkito is primarily written in Python. It covers topics such as bolt-new, claude, claude-ai.

How do I install or use talkito?

You can find installation instructions and usage details in the talkito GitHub repository at github.com/robdmac/talkito. The project has 54 stars and 5 forks, indicating an active community.

What license does talkito use?

talkito is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to talkito?

The top alternatives to talkito on Agent Skills Hub include recall, code-notify, ai-code-interface.el. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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