npm @agenticpay/mcp-bridgestdioMITupdated 9d ago
Get paid by AI agents. Open-source payment infrastructure for the MCP ecosystem - declare a price on any tool, agents pay in USDC over x402, settles on Solana in 1.5 seconds.
agenticpay で何ができる?
agenticpay
Website · Spend caps · npm
Get paid by AI agents. Open-source payment infrastructure for the MCP ecosystem - declare a price on any tool, agents pay in USDC over x402, settles on Solana in ~1.5 seconds.
No Stripe. No accounts. No API keys.
The full stack is here - SDK, CLI, paywall middleware, self-hosted x402 facilitator, and a live LLM agent demo. All TypeScript, MIT licensed.
Just want to test it? Point your
mcp-serverat our hosted devnet facilitator:FACILITATOR_URL=https://agentpay-facilitator-e9b20a5fee6a.herokuapp.comNo setup needed.
Live demo
A real Claude Opus agent receives a task, decides which paid tools to use, pays autonomously via x402 micropayments on Solana, and answers the user.
$ pnpm --filter @agenticpay/two-agent-demo agent
Agent wallet: 3rHoEumCpH8EGrr6Lq2vBKeyec6h3yPRGj2nGG2FzEfX
Server: http://localhost:4021
Facilitator: http://localhost:4022 ← our own
Model: claude-opus-4-7
Task: Reverse the string 'agentpay rocks' and tell me how many words
are in 'The quick brown fox jumps over the lazy dog'.
[turn 1] tool_use: reverse_string({"text":"agenticpay rocks"}) → paying $0.001 USDC ...
✓ paid + got result in 1596ms: {"result":"skcor yaptnega"}
[turn 1] tool_use: word_count({"text":"The quick..."}) → paying $0.0005 USDC ...
✓ paid + got result in 1286ms: {"count":9}
Agent final answer:
1. Reversed string: skcor yaptnega
2. Word count: 9 words
=== payments summary ===
reverse_string $0.0010 USDC 1596ms
word_count $0.0005 USDC 1286ms
TOTAL $0.0015 USDC 2 calls
On-chain proof (Solana devnet):
- Settled by our self-hosted facilitator:
EsqzTG8id...Bnku - Earlier settle via x402.org:
2d2HcefgJ...vkqY
Why
The current AI agent stack assumes humans hold the credit card. That breaks the moment agents act on their own initiative - calling APIs, hiring sub-agents, paying for compute. You can't OAuth your way through it.
Stablecoin micropayments over HTTP fix it. agenticpay packages the missing ergonomics for the MCP ecosystem specifically: any tool can declare a price, any agent can pay it, and the whole pipeline - including the facilitator that actually submits the on-chain settlement - is open source and self-hostable.
Architecture
┌──────────────┐ 1) HTTP request ┌─────────────┐
│ Claude / │ ────────────────────────────────────▶ │ mcp-server │
│ GPT agent │ 2) HTTP 402 + payment requirements │ (yours) │
│ │ ◀──────────────────────────────────── │ │
│ │ 3) signed USDC payload │ │
│ │ ────────────────────────────────────▶ │ │
└──────────────┘ └─────┬───────┘
│ verify+settle
▼
┌──────────────────────┐
│ agenticpay facilitator │
│ (also yours, this │
│ repo, port 4022) │
└──────────┬───────────┘
│ submit
▼
Solana
(USDC SPL,
sub-cent fees)
You can also point mcp-server at the public x402.org/facilitator for
testnet/devnet, or at Coinbase CDP for mainnet. We just made the
self-hosted route easy.
Packages
| Package | What it does |
|---|---|
packages/sdk |
TypeScript primitives: USDC transfers, wallet management, network config |
packages/cli |
agenticpay command - wallet, balance, send |
packages/mcp-server |
HTTP server with x402 paywall middleware. Each tool has a price. |
packages/facilitator |
Self-hosted x402 facilitator - verify + settle USDC payments on Solana. Pays SOL fees on behalf of agents. |
packages/eliza-plugin |
Eliza plugin - wraps paid HTTP endpoints as native Eliza Actions. Solana-native AI agents pay per tool call. |
packages/ai-sdk |
Vercel AI SDK helpers - drop paid tools straight into generateText / streamText. |
packages/mcp-bridge |
Real MCP server (stdio + @modelcontextprotocol/sdk) wrapping x402 paid tools. Drop into Claude Desktop / Cursor. |
examples/two-agent-demo |
Real Claude Opus agent paying for tool calls |
Install
npm install @agenticpay/sdk # Solana + USDC primitives
npm install -g @agenticpay/cli # `agenticpay` command
npm install @agenticpay/mcp-server # paywalled HTTP server
npm install @agenticpay/facilitator # self-hosted x402 facilitator
npm install @agenticpay/eliza-plugin # Eliza plugin (Solana-native agents)
npm install @agenticpay/ai-sdk # Vercel AI SDK paid tools
npm install -g @agenticpay/mcp-bridge # MCP server for Claude Desktop / Cursor
Or clone the monorepo to get the live two-agent demo and edit-friendly templates (recommended for first run - see Quickstart below).
Use with Claude Code
This repo ships an Anthropic Skill
at .claude/skills/agenticpay/SKILL.md. Copy it into your ~/.claude/skills/
to give Claude Code first-class context about agenticpay - it'll then walk you
through monetizing an MCP server, generating tool routes, and verifying
on-chain settlements without re-reading the README every time.
mkdir -p ~/.claude/skills
cp -r .claude/skills/agenticpay ~/.claude/skills/
Quickstart (devnet, ~5 minutes, free)
# 1. Install
pnpm install
pnpm -r build
# 2. Generate a payer wallet, fund it on devnet
node packages/cli/dist/index.js wallet new
node packages/cli/dist/index.js wallet show
# → fund SOL at https://faucet.solana.com (paste pubkey)
# → fund USDC at https://faucet.circle.com (Solana Devnet, same pubkey)
# 3. (option A - fastest) Use our hosted devnet facilitator. Skip step 4.
export FACILITATOR_URL=https://agentpay-facilitator-e9b20a5fee6a.herokuapp.com
# 3. (option B - fully self-hosted) Start your own facilitator (terminal 1)
pnpm --filter @agenticpay/facilitator dev
# Note the printed feePayer address. It needs ~0.05 SOL devnet to cover fees.
# Either airdrop or use the helper:
pnpm --filter @agenticpay/facilitator fund
export FACILITATOR_URL=http://localhost:4022
# 4. Start the paywalled mcp-server (terminal 2)
PAY_TO=<recipient pubkey> pnpm --filter @agenticpay/mcp-server dev
# 5. Run the live LLM agent demo (terminal 3, needs ANTHROPIC_API_KEY in .env)
pnpm --filter @agenticpay/two-agent-demo agent
Framework integrations
Drop-in templates for the most common AI agent stacks live under examples/:
| Framework | File |
|---|---|
| Anthropic SDK (canonical) | examples/two-agent-demo/src/agent-llm.ts |
| Real-world paid server template (Claude-backed tools) | examples/research-server/ |
| LangChain.js | examples/langchain-js/agent-with-paid-tools.ts |
| LangChain Python | examples/langchain-python/agent_with_paid_tools.py |
| Eliza (Solana-native) | examples/eliza/plugin-agenticpay.ts |
| Mastra | examples/mastra/paid-tool.ts |
| Vercel AI SDK | examples/vercel-ai-sdk/paid-tool.ts |
| OpenAI Custom GPT | examples/openai-gpt/action-schema.json |
See examples/README.md for the integration matrix.
Status
Pre-alpha. Devnet validated end-to-end. Mainnet config supported but requires funding the facilitator with real SOL and pointing at a mainnet-capable RPC (Helius, QuickNode, etc.).
Roadmap
- Devnet end-to-end demo (smoke + LLM agent)
- Self-hosted x402 facilitator (verify + settle, fee_payer abstraction)
- Real-world MCP server template (search, fetch, summarize, extract - instead of toy
reverse_string) - On-chain escrow for long-running tasks (Anchor program)
- Agent reputation registry on-chain
- Hosted facilitator service (
agenticpay.com)
What's a facilitator?
If you've never seen x402 before: the facilitator is the trusted middleman that (1) verifies an agent's signed payment payload, (2) submits the USDC transfer on-chain, and (3) pays the SOL gas fees so the agent doesn't need any SOL - only USDC. Most MCP devs don't want to run their own; they point at a hosted one.
This repo ships a complete facilitator implementation. You can self-host it, fork it, audit it, or deploy it as a service for your own users.
What happens when a paid tool call fails?
Short version: a failed tool call is never charged. x402 settlement is an irreversible push, so the middleware is careful about when it settles:
- Verify before execute. The payment payload (signature, funds, requirements match) is verified before your tool handler runs. Invalid payment → HTTP 402, the tool never executes.
- Execute with a buffered response. The handler runs, but its response is held back - nothing is sent to the agent yet.
- Settle only on success. If the handler responds with status ≥ 400, the middleware skips settlement entirely and just returns the error. The agent pays nothing for a failed call.
- No result without payment. If on-chain settlement itself fails, the buffered tool result is discarded and the agent gets a payment error instead - the server never leaks a result it wasn't paid for.
What this doesn't cover: a tool that returns 200 OK with a junk answer is
still charged - the protocol can't judge response quality. That's what keeps
per-call prices micro ($0.0005–$0.001 in the demo): the worst case is capped
at one call's price, and quality enforcement belongs to a reputation layer
(see Roadmap) rather than the payment protocol.
License
MIT
インストール
agenticpay をクライアントに追加します。お使いのものを選んでください。
claude mcp add mcp-bridge -- npx -y @agenticpay/mcp-bridgecodex mcp add mcp-bridge -- npx -y @agenticpay/mcp-bridgeamp mcp add mcp-bridge -- npx -y @agenticpay/mcp-bridge{
"mcpServers": {
"mcp-bridge": {
"command": "npx",
"args": [
"-y",
"@agenticpay/mcp-bridge"
]
}
}
}Add to `claude_desktop_config.json`, then restart Claude Desktop.
{
"mcpServers": {
"mcp-bridge": {
"command": "npx",
"args": [
"-y",
"@agenticpay/mcp-bridge"
]
}
}
}Add to `~/.cursor/mcp.json`, or `.cursor/mcp.json` for a single project.
code --add-mcp '{"name":"mcp-bridge","command":"npx","args":["-y","@agenticpay/mcp-bridge"]}'Or add the block manually to `.vscode/mcp.json` under `servers`.
{
"mcpServers": {
"mcp-bridge": {
"command": "npx",
"args": [
"-y",
"@agenticpay/mcp-bridge"
]
}
}
}Add to `~/.codeium/windsurf/mcp_config.json`.
{
"mcpServers": {
"mcp-bridge": {
"command": "npx",
"args": [
"-y",
"@agenticpay/mcp-bridge"
]
}
}
}Add to `cline_mcp_settings.json` via the MCP Servers panel.
{
"mcpServers": {
"mcp-bridge": {
"command": "npx",
"args": [
"-y",
"@agenticpay/mcp-bridge"
]
}
}
}Add to `~/.gemini/settings.json`.
{
"mcpServers": {
"mcp-bridge": {
"type": "local",
"command": "npx",
"args": [
"-y",
"@agenticpay/mcp-bridge"
],
"tools": [
"*"
]
}
}
}Add to `~/.copilot/mcp-config.json`, or run `/mcp add` inside the CLI.
{
"context_servers": {
"mcp-bridge": {
"command": {
"path": "npx",
"args": [
"-y",
"@agenticpay/mcp-bridge"
]
}
}
}
}Add to your Zed `settings.json`.
npx -y @agenticpay/mcp-bridgeRun `goose configure`, choose **Add Extension → Command-line Extension**, and paste this command.
スコア
39 / 100
情報不足
- ドキュメント25/25
- メンテナンス19/25
- 信頼性16/20
- 機能0/15
- 導入のしやすさ12/15
- Documents what it does and how to connect
- Has a resolvable package or endpoint
- Exposes at least one tool, prompt or resource
- README has substantive content
- Includes a code example
- Documents its configuration
- Mentions credentials or security posture
- Last commit 1 days ago
- Has a release history
- Repository is not archived
- Licensed MIT
- Namespace verified in the official MCP registry
- Claimed by its owner
- Published under an organisation
- 0 tool(s) documented
- Provides prompt templates
- Provides resources
- 12 documented install method(s)
- Published to a package registry
- Offers a hosted endpoint — no local install
バージョン履歴
| バージョン | 公開日 |
|---|---|
| 0.0.1最新 | 2026年5月1日 |