MCP.Market

Agentpump MCP server

by axiosdevs·io.github.axiosdevs/agentpump-mcp·v1.1.1

Launch & trade tokens on AgentPump, a Solana bonding-curve launchpad, from your AI agent.

A85/100grade A
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Safety scan
A85/100

full report

Adoption
New

0 stars45 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

Agentpump tools (8, 3 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • sol_address

    Show the agent's Solana wallet address to deposit SOL into.

  • sol_balance

    Check the wallet's SOL balance.

  • sol_buywrite action

    Buy a token on its bonding curve (pre-graduation). For graduated tokens use sol_raydium_buy.

  • sol_create_walletwrite action

    Create the agent's Solana wallet (saved locally, hidden). Returns the address to fund.

  • sol_launch

    Launch a new token on AgentPump (bonding curve). Costs ~0.02 SOL in rent.

  • sol_raydium_buywrite action

    Buy any graduated/listed token on Raydium (after it leaves the bonding curve). Charges a 1% fee.

  • sol_raydium_sell

    Sell a percentage of a graduated/listed token on Raydium. Charges a 1% fee on the SOL proceeds.

  • sol_sell

    Sell a percentage of a token holding back to the bonding curve (pre-graduation). For graduated tokens use sol_raydium_sell.

Public scan report

scanner v0.1.9 · 2026-09-26 · same rubric, same numbers if you re-run it

no findings
  • Code scan2 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 77 days ago12/15
  • Maintainer identityregistry namespace matches repository owner6/10
Overall 85/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Agentpump compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
85/100
higher than 73% of 4,460 AI and agents servers
Tools
8
the typical AI and agents server has 6
Tools that change things
38%
typical: 0%. Fewer write tools means less an agent can break
Downloads a week
45
more than 37% of 1,538 AI and agents servers with a package

What its tools let an agent do: 5 read · 3 change

Install Agentpump in Claude Code, Cursor or VS Code

Runs npx -y agentpump-mcp on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add agentpump-mcp -- npx -y agentpump-mcp
Add to Cursor

What the publisher says

From the Agentpump repository's README, as published. We do not edit it. Read it on GitHub

AgentPump — give your AI agent a Solana wallet 🤖

Open-source MCP server that lets an AI agent launch and trade tokens on Solana — autonomously, from plain-language chat.

Add one MCP server to Claude Code, Cursor, or any MCP client, then just tell your agent to launch and trade tokens on AgentPump, a fair bonding-curve launchpad on Solana mainnet. The private key is generated locally and never leaves your machine — it's never sent to the model or any server, only signatures hit the chain.

Live on Solana mainnet. Real money — start small.

🌐 Website · 📦 npm: agentpump-mcp · 🪙 Trade on the web · 💬 Telegram bot · 🐦 X

Install

Claude Code

claude mcp add agentpump -- npx -y agentpump-mcp

Any MCP client (Cursor, Claude Code, …)

Add to your MCP config:

{
  "mcpServers": {
    "agentpump": { "command": "npx", "args": ["-y", "agentpump-mcp"] }
  }
}

Also in the official MCP Registry as io.github.axiosdevs/agentpump-mcp. A mainnet RPC is built in — nothing to configure.

Then just chat

Talk to your agent in plain language — it calls the tools:

"create a Solana wallet and show me the address"     ← then fund it with a little SOL
"launch a token called Doge AI (DOGEAI), then buy 0.05 SOL of it"
"find tokens on the launchpad and buy 0.05 SOL of the top one"
"sell 50% of <mint>"
"buy 0.2 SOL of <mint> on Raydium"     ← after it graduates
"withdraw all my SOL to <address>"

Tools

The whole client is one index.js — exactly what npx agentpump-mcp runs. No build step, no hidden network calls. Read every line before funding it.

How the launchpad works

  1. Mint — launching is free (~0.008 SOL network rent, none to the protocol). 1B supply, all on the curve. No presale, no team allocation.
  2. Pump — constant-product bonding curve; ~80% of supply sells on it. 1% fee per trade, shared with the token creator (+ referrer).
  3. Graduate — at 10 SOL the curve closes, a Raydium pool is created and the LP is burned — liquidity locked forever. Then it trades everywhere (Raydium, Jupiter, DexScreener…).

On-chain program: 4M93xdyduoYj4W7LaLRmXrk5PqyGD6SoxzX8CwdKe3VM (verifiable on Solscan).

Also for people (no MCP needed)

  • 🪙 Web (Phantom): https://app.agents-coin.com/pump
  • 💬 Telegram bot: https://t.me/AgentsPumpBot

MIT licensed.

Nothing above is checked by us. What we check is on the safety report.

Agentpump: common questions

Is Agentpump MCP server safe?
Yes, by our scan: it is graded A (85/100). Read the Agentpump safety report
How do I install Agentpump?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Agentpump need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Agentpump maintained?
The last commit was 116 days ago (2026-07-11). The latest release is v1.1.1.
What can I use instead of Agentpump?
Servers from other publishers that do the same job: Commonly MCP server, mcptoon MCP server and llmtrim MCP server.
How does Agentpump compare with other AI and agents MCP servers?
safety score 85/100 (higher than 73% of 4,460 AI and agents servers); tools 8 (the typical AI and agents server has 6); tools that change things 38% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to Agentpump

Same job from other publishers: the closest match first, then the best rated.

  • Commonly
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    A
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  • llmtrim
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  • Agent Lsp
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  • three.ws Portfolio
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