Hello everyone! We're building AppKit and WalletKit to drastically simplify TON integration into your products.
Today we published the first version of @ton/mcp to allow AI Agents to become first-class citizens in the TON Ecosystem. It allows them to operate wallets, send jettons and NFTs, and make DeFi trades.
We're now working on Agentic Wallets for @ton/mcp, so agents can have their own wallets — but you can still control them from your main non-custodial wallet anytime.
If you have any questions or ideas, feel free to reach out — I'm happy to chat. Would really appreciate any feedback!
Today we published the first version of @ton/mcp to allow AI Agents to become first-class citizens in the TON Ecosystem. It allows them to operate wallets, send jettons and NFTs, and make DeFi trades.
We're now working on Agentic Wallets for @ton/mcp, so agents can have their own wallets — but you can still control them from your main non-custodial wallet anytime.
If you have any questions or ideas, feel free to reach out — I'm happy to chat. Would really appreciate any feedback!
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Hi everyone, I’m Resistor ! 🐶
I’m building Teleton Agents, autonomous AI agents that live on Telegram, control their own accounts (not bots), feature native TON integration, 100+ built-in tools, and an SDK plugin system for creating custom tools and workflows.
Each agent has persistent memory, a task system, unique identity, dedicated workspace, deep learning capabilities, and an easy plugin system that lets users and developers customize it to their needs.
Teleton agent:
https://github.com/TONresistor/teleton-agent
Plugins directory:
https://github.com/TONresistor/teleton-plugins
➖ ➖ ➖ ➖ ➖ ➖ ➖ ➖ ➖ ➖ ➖ ➖ ➖
📢 @ResistanceTools | 💬 @zkproof
I’m building Teleton Agents, autonomous AI agents that live on Telegram, control their own accounts (not bots), feature native TON integration, 100+ built-in tools, and an SDK plugin system for creating custom tools and workflows.
Each agent has persistent memory, a task system, unique identity, dedicated workspace, deep learning capabilities, and an easy plugin system that lets users and developers customize it to their needs.
Teleton agent:
https://github.com/TONresistor/teleton-agent
Plugins directory:
https://github.com/TONresistor/teleton-plugins
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Hey everyone.
I'm Michele — founder of swap.coffee. We just open-sourced a Claude Code / OpenClaw Skill that gives AI agents full access to the TON blockchain: wallet management, token swaps, staking, limit orders, DCA strategies, yield farming, NFT trading, DNS resolution — all powered by swap.coffee & MarketApp APIs.
The entire system was created and maintained by a team of AI agents (they process Issues and Pool Requests, fix bugs, and reward active users with TON).
https://github.com/swapcoffee/openclaw-ton-skill
I'm Michele — founder of swap.coffee. We just open-sourced a Claude Code / OpenClaw Skill that gives AI agents full access to the TON blockchain: wallet management, token swaps, staking, limit orders, DCA strategies, yield farming, NFT trading, DNS resolution — all powered by swap.coffee & MarketApp APIs.
The entire system was created and maintained by a team of AI agents (they process Issues and Pool Requests, fix bugs, and reward active users with TON).
https://github.com/swapcoffee/openclaw-ton-skill
GitHub
GitHub - swapcoffee/openclaw-ton-skill
Contribute to swapcoffee/openclaw-ton-skill development by creating an account on GitHub.
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Good morning! Welcome to the new community participants! Feel free to share more info about your AI projects.
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In the meantime, I have a question. What is the best MCP for Telegram?
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Hey everyone,
🛡 CleanAds AI Agent
An autonomous escrow and brand-safety oracle for Telegram advertising. Advertisers lock TON in a smart contract; the off-chain AI Oracle monitors publisher channels in real-time. It analyzes context to prevent scams/profanity and triggers instant on-chain payouts via TON only if the content is AI-approved.
CleanAds AI Github
Live Demo TMA
🛡 CleanAds AI Agent
An autonomous escrow and brand-safety oracle for Telegram advertising. Advertisers lock TON in a smart contract; the off-chain AI Oracle monitors publisher channels in real-time. It analyzes context to prevent scams/profanity and triggers instant on-chain payouts via TON only if the content is AI-approved.
CleanAds AI Github
Live Demo TMA
GitHub
GitHub - tcnfounder/cleanadsai: The Future of Trustless, Brand-Safe Advertising on Telegram & TON Blockchain.
The Future of Trustless, Brand-Safe Advertising on Telegram & TON Blockchain. - tcnfounder/cleanadsai
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Anthony Tsivarev | TON
In the meantime, I have a question. What is the best MCP for Telegram?
I used this one as it has the most stars on Github. And it works well but I’m become worried of it using too much space in my context all the time
https://github.com/chigwell/telegram-mcp
But be careful: I once asked my Claude to remind me something and this MCP posted a message directly to my telegram channel.💌
Instead of MCP I’d much prefer a skill + CLI tool as it saves the context.
https://github.com/chigwell/telegram-mcp
But be careful: I once asked my Claude to remind me something and this MCP posted a message directly to my telegram channel.
Instead of MCP I’d much prefer a skill + CLI tool as it saves the context.
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GitHub
GitHub - chigwell/telegram-mcp: Telegram MCP server powered by Telethon to let MCP clients read chats, manage groups, and send/modify…
Telegram MCP server powered by Telethon to let MCP clients read chats, manage groups, and send/modify messages, media, contacts, and settings. - chigwell/telegram-mcp
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Hi everyone. I'm the founder of the @ton_ai_core project. I was one of the first to start the entire AI movement on TON. The project's goal was to teach AI to write smart contracts. A bunch of subprojects were created for this purpose. I rewrote Blueprint to make it easier to work with AI. I indexed all the contracts from the blockchain and created a bunch of other tools.
All ton chats: https://github.com/ton-ai-core/ton-chats/tree/main/out/markdown
Ton Api Indexing: https://github.com/ton-ai-core/ton-api-indexing
Dev template: https://github.com/ton-ai-core/contract-knowledge
Ton docs skill - https://news.1rj.ru/str/ton_ai_core/30
I'm also currently developing a "new programming paradigm for AI coding."
I'm also creating a docker-git project to provide full agent access to the system. https://news.1rj.ru/str/ProverCoderAI/29
All ton chats: https://github.com/ton-ai-core/ton-chats/tree/main/out/markdown
Ton Api Indexing: https://github.com/ton-ai-core/ton-api-indexing
Dev template: https://github.com/ton-ai-core/contract-knowledge
Ton docs skill - https://news.1rj.ru/str/ton_ai_core/30
I'm also currently developing a "new programming paradigm for AI coding."
I'm also creating a docker-git project to provide full agent access to the system. https://news.1rj.ru/str/ProverCoderAI/29
GitHub
ton-chats/out/markdown at main · ton-ai-core/ton-chats
Contribute to ton-ai-core/ton-chats development by creating an account on GitHub.
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Hello Builders! I'm Seyyed Yousef 👋
I’m introducing @iFragmentBot, a specialized Agent-based Infrastructure built for the TON and Telegram asset market.
We realized that traders in the Telegram, Fragment and others face a major Valuation Challenge.
🤯 The Challenge: Manual vs. Smart
Imagine a scenario: You hold 100 different Gifts in your wallet and need their true market value.
❌ The Old Way (Trader’s Nightmare):
For each of those 100 gifts, you must: Open the market ⬅️ Filter ⬅️ Check traits ⬅️ Check floor price ⬅️ Mentally calculate.
The result? Hours wasted and human error. 📉
✅ The Smart Way (with iFragmentBot):
Just send the link to the bot. Done.
The bot instantly scans the market, assesses rarity, predicts the precise price using AI, and generates a stunning visual card to share.
⚙️ Technical Infrastructure (The Secret Sauce):
To overcome high-scale Telegram API limits, we spent the last month engineering a Distributed Session Network.
We have built an army of 100 autonomous "Worker Agents" that rotate to ensure zero downtime and lightning-fast data extraction.
🛠 Key Features:
For General Users:
🔹 Asset Intelligence: Instant pricing for Usernames, Gifts, and (soon) +888 Numbers + visual content generation.
🔹 Deep Wallet Tracking: Cross-referencing On-chain assets with active Telegram usage (verifying if a username is actually deployed on an active account).
For me/Admin (Agent Tools):
🔹 Growth Engine: Autonomous agents that analyze Gift transactions to identify and onboard high-value users into the my channel.
🔹 Content Automation: An internal agent that monitors market posts, regenerates them using our branded templates, and writes professional captions instantly for our channels.
Running live in @FragmentsCommunity and serving our private whale investors group, @FragmentInvestors.
Try it now:
🤖 Bot: @iFragmentBot
📢 Community: @FragmentsCommunity
We are ready to scale with your support! 🚀
I’m introducing @iFragmentBot, a specialized Agent-based Infrastructure built for the TON and Telegram asset market.
We realized that traders in the Telegram, Fragment and others face a major Valuation Challenge.
🤯 The Challenge: Manual vs. Smart
Imagine a scenario: You hold 100 different Gifts in your wallet and need their true market value.
❌ The Old Way (Trader’s Nightmare):
For each of those 100 gifts, you must: Open the market ⬅️ Filter ⬅️ Check traits ⬅️ Check floor price ⬅️ Mentally calculate.
The result? Hours wasted and human error. 📉
✅ The Smart Way (with iFragmentBot):
Just send the link to the bot. Done.
The bot instantly scans the market, assesses rarity, predicts the precise price using AI, and generates a stunning visual card to share.
⚙️ Technical Infrastructure (The Secret Sauce):
To overcome high-scale Telegram API limits, we spent the last month engineering a Distributed Session Network.
We have built an army of 100 autonomous "Worker Agents" that rotate to ensure zero downtime and lightning-fast data extraction.
🛠 Key Features:
For General Users:
🔹 Asset Intelligence: Instant pricing for Usernames, Gifts, and (soon) +888 Numbers + visual content generation.
🔹 Deep Wallet Tracking: Cross-referencing On-chain assets with active Telegram usage (verifying if a username is actually deployed on an active account).
For me/Admin (Agent Tools):
🔹 Growth Engine: Autonomous agents that analyze Gift transactions to identify and onboard high-value users into the my channel.
🔹 Content Automation: An internal agent that monitors market posts, regenerates them using our branded templates, and writes professional captions instantly for our channels.
Running live in @FragmentsCommunity and serving our private whale investors group, @FragmentInvestors.
Try it now:
🤖 Bot: @iFragmentBot
📢 Community: @FragmentsCommunity
We are ready to scale with your support! 🚀
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Hey! 👋
Great to meet you all. It’s very inspiring to be part of a community with talented builders pushing the TON ecosystem forward.
We are building Tonpixo. It's an AI agent for data analysis launched as a TMA. Tonpixo lets users "chat" with the activity of any specific TON address (transactions, Jettons, NFTs) to get actionable insights.
We all know TON explorers are an essential part of daily use, but for complex queries and manual research, they aren't always the best fit. We created Tonpixo because it’s simply easier to ask a question in natural way and get an instant answer. We're also putting a big focus on visualization tools to make that data easy to understand at a glance.
If you have a moment to help us improve:
Since Tonpixo is still in its early MVP stage, we’re actively working on the logic to handle complex queries even better.
We would appreciate it if you could test it out and rate the agent's answers in the app (👍 /👎 or drop feedback in DM). Your ratings help us build a much more useful tool for the whole community.
It's completely free to use Tonpixo for a while!1⃣
Updates | TMA | GitHub
Great to meet you all. It’s very inspiring to be part of a community with talented builders pushing the TON ecosystem forward.
We are building Tonpixo. It's an AI agent for data analysis launched as a TMA. Tonpixo lets users "chat" with the activity of any specific TON address (transactions, Jettons, NFTs) to get actionable insights.
We all know TON explorers are an essential part of daily use, but for complex queries and manual research, they aren't always the best fit. We created Tonpixo because it’s simply easier to ask a question in natural way and get an instant answer. We're also putting a big focus on visualization tools to make that data easy to understand at a glance.
If you have a moment to help us improve:
Since Tonpixo is still in its early MVP stage, we’re actively working on the logic to handle complex queries even better.
We would appreciate it if you could test it out and rate the agent's answers in the app (
It's completely free to use Tonpixo for a while!
Updates | TMA | GitHub
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Hello I'm building, Veritas
One-Line Pitch
The Visual Security Oracle for TON Agents. We give "sight" to blind trading bots.
The Problem
Current trading bots and agents on TON are fast but blind. They can verify math (liquidity, contract code) but they cannot verify authenticity (brand, website, visual identity).
Because of this blind spot, sophisticated agents still get rugged by "high-quality" scams that have safe code but use cloned websites, stolen logos, and fake roadmaps.
One-Line Pitch
The Visual Security Oracle for TON Agents. We give "sight" to blind trading bots.
The Problem
Current trading bots and agents on TON are fast but blind. They can verify math (liquidity, contract code) but they cannot verify authenticity (brand, website, visual identity).
Because of this blind spot, sophisticated agents still get rugged by "high-quality" scams that have safe code but use cloned websites, stolen logos, and fake roadmaps.
The Solution
Veritas is an MCP (Model Context Protocol) Server that acts as a security layer for the entire Agent Economy on TON.
Instead of humans querying a bot, other agents (like snipers, arbitrage bots, and portfolio managers) query Veritas via API before they execute a trade.
How It Works
When a Trading Agent detects a new token, it pings the Veritas MCP. Veritas runs a dual-layer check
Veritas returns a comprehensive Risk Object to the calling Agent, allowing it to block the trade if the visual risk is high.
Tech Stack
Infrastructure: Model Context Protocol (MCP) for Agent-to-Agent communication.
AI Engine: Gemini Vision for visual asset reuse detection.
Data Layer: Integration with TonAPI and GeckoTerminal for on-chain metrics.
Veritas is an MCP (Model Context Protocol) Server that acts as a security layer for the entire Agent Economy on TON.
Instead of humans querying a bot, other agents (like snipers, arbitrage bots, and portfolio managers) query Veritas via API before they execute a trade.
How It Works
When a Trading Agent detects a new token, it pings the Veritas MCP. Veritas runs a dual-layer check
Veritas returns a comprehensive Risk Object to the calling Agent, allowing it to block the trade if the visual risk is high.
Tech Stack
Infrastructure: Model Context Protocol (MCP) for Agent-to-Agent communication.
AI Engine: Gemini Vision for visual asset reuse detection.
Data Layer: Integration with TonAPI and GeckoTerminal for on-chain metrics.
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Hey there 👋
I am building AI-native commerce on TON, where autonomous agents create and run businesses end-to-end
With @ShopsBuilderBot anyone can:
• Launch a store from a prompt or website link
• Get a dedicated AI sales & support agent
• Accept TON, Stars, cards or even cash
We intend to open-source the platform, so stay tuned if you’re interested in participating in the future of commerce. Our mission is to build a decentralized e-commerce platform powered by AI and cryptocurrency✈️
Updates | TMA
I am building AI-native commerce on TON, where autonomous agents create and run businesses end-to-end
With @ShopsBuilderBot anyone can:
• Launch a store from a prompt or website link
• Get a dedicated AI sales & support agent
• Accept TON, Stars, cards or even cash
We intend to open-source the platform, so stay tuned if you’re interested in participating in the future of commerce. Our mission is to build a decentralized e-commerce platform powered by AI and cryptocurrency
Updates | TMA
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Hey, I'm building Agent Job Board — agents post tasks with TON escrow, other agents claim and get paid on-chain. Includes MCP server, TypeScript SDK, and structured task discovery.
GitHub: https://github.com/faustyu1/ton-agent-jobs
I'll show it later in the form of a web app
GitHub: https://github.com/faustyu1/ton-agent-jobs
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Hi guys! I'm from the Giftstat.com х @giftindex (42 Club).
What we do?
Agent as a service: we've built a platform for launching gift market analysis agents without any complex setup.
Landing: giftstat.com/agent
🧐 Real cases: Influencers and channels are already using the platform to launch their own agents for their audiences. We'll share key metrics later (Agents: @barboskich_agent , @ton2k_bot)
📈 Together with @zkproof, we've also implemented the A2A protocol for trading gift indexes. Agents can autonomously earn by trading indexes on-chain. The oracle sets trading prices based on the underlying asset and market metrics and shifts them over an n-period. Docs (ODROB-protocol) + Plugin (beta)
⚡️We've launched the first DAO to develop the agent economy and raised 600 TON from the community to implement a plugin for purchasing Telegram Stars via Fragment. The DAO hired an independent developer who is currently contributing to Teleton.
DAO wallet for contribution:
What we do?
Agent as a service: we've built a platform for launching gift market analysis agents without any complex setup.
Landing: giftstat.com/agent
The Giftstat API has the most comprehensive market data since its very inception. Module
⚡️We've launched the first DAO to develop the agent economy and raised 600 TON from the community to implement a plugin for purchasing Telegram Stars via Fragment. The DAO hired an independent developer who is currently contributing to Teleton.
DAO wallet for contribution:
UQC0Rv84oQvatPmVyn04CYeoDrH6xMr0tWNd6m1uyD2oaKyBPlease open Telegram to view this post
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Let me show you a small part of the capabilities of AI analytics agents that are already working
Prompt:
Prompt:
Tell me about the activity of whales regarding gifts. Conduct a deep analysis to determine their direction and interests. Use data from the past few weeks. Have you noticed anything unusual? Write a brief summary and plot a graph.🐋 WHALE ACTIVITY & MARKET MANIPULATION
Telegram Gifts · Feb 5–18, 2026
━━ TOP WHALE ━━
@denis33371 — market dominant
• 53K+ gifts · Est. ~570K TON
• Top: Low Rider (2.7K pcs, 112K TON), Sky Stilettos (7.2K pcs, 105K TON), Westside Sign (1K pcs, 101K TON)
• Strategy: mass-buying cheap collections (4–15 TON floor) — betting on overall market growth
• Recent buys: +989 Spiced Wine, +685 Sky Stilettos, +548 Party Sparkler in 2 weeks
━━ OTHER WHALES ━━
@worty11 — 1.8K Ice Cream
@BossOfLemons — 804 Faith Amulet
@svyat_baka — Lol Pop (1.2K), Voodoo Doll (407)
@Artishchev — Khabib's Papakha (603), UFC Strike (635)
@mrgribosss — Bling Binky (463), Spy Agaric (437)
@Andrew_Seer — Faith Amulet (677), Moon Pendant (312)
━━ 🚨 ANOMALIES ━━
❶ Voodoo Doll (Feb 17): volume 4K→85K TON, avg price x16 (32→510). Back to normal next day.
❷ Snoop Dogg (Feb 10): volume 5K→97K TON, avg price x17 (6→100). One-day spike.
❸ Ginger Cookie (Feb 10): same day — avg price x40 (6→243). 72K TON volume vs usual 2–4K.
❹ Heart Locket (Feb 16): 2 trades at 10,860 TON each (norm ~2,000).
━━ 💡 KEY TAKEAWAYS ━━
• Single-day price spikes that revert instantly = wash trading on MRKT
• @denis33371 building massive positions in budget collections — long-term bull thesis
• Precious Peach activity declining (140→20 trades/day) — possible accumulation phase
• Premium collections (Heart Locket, Heroic Helmet) trade steadily at high avg ticket
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