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Aiservices Api MCP Server

by Vbkotecha
Developer ToolsUse Caution3.2MCP RegistryLocalRemote
Free

Server data from the Official MCP Registry

Paid APIs for AI agents with x402 crypto payments on Base

About

Paid APIs for AI agents with x402 crypto payments on Base

Remote endpoints: streamable-http: https://api.aiservices.to/mcp

Security Report

3.2
Use Caution3.2High Risk

AIServices is a legitimate payment-gated API server for crypto data and dispute resolution using x402/USDC micropayments. However, the dispute resolution engine contains significant security concerns around arbitrary code execution via regex and condition evaluation, coupled with insufficient input validation on evidence data and policy loading. The code quality issues in the policy engine and missing security hardening create a moderate risk profile for an MCP server. Permissions are reasonable for its stated purpose (network APIs, environment variables for wallet/payment config), but the code execution patterns in the dispute engine require immediate remediation. Supply chain analysis found 10 known vulnerabilities in dependencies (1 critical, 4 high severity).

5 files analyzed · 20 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

env_vars

Check that this permission is expected for this type of plugin.

HTTP Network Access

Connects to external APIs or services over the internet.

File System Read

Reads files on your machine. Normal for tools that analyze or process local data.

File System Write

Writes or modifies files on your machine. Check that this is expected for the tool.

How to Install & Connect

Available as Local & Remote

This plugin can run on your machine or connect to a hosted endpoint. during install.

Documentation

View on GitHub

From the project's GitHub README.

AIServices

Paid APIs for AI agents — crypto data, DeFi yields, dispute resolution with built-in x402 payments on Base

Tests Network Payment MCP

Live at: api.aiservices.to | MCP Server: npx aiservices-mcp

What is this?

AIServices is the monetized API layer for AI agents. No API keys, no subscriptions — agents pay per-request with USDC on Base using the x402 payment protocol.

The thesis: As AI agents become autonomous actors, they need their own financial infrastructure. AIServices provides the data and trust APIs they need, with payments baked into the HTTP layer itself.

Endpoints

Free (no payment required)

EndpointDescription
GET /v1/prices?symbols=BTC,ETHCurrent crypto prices
GET /v1/fear-greedCrypto Fear & Greed sentiment index
GET /v1/geo?ip=1.2.3.4IP geolocation lookup
GET /v1/policiesList dispute resolution policy templates

Paid (x402 USDC micropayments)

EndpointPriceDescription
GET /v1/indicators?symbol=BTC$0.02Technical indicators (RSI, MACD, Bollinger Bands)
GET /v1/defi/yields$0.02Top DeFi yield pools by TVL
GET /v1/metadata?url=$0.01URL metadata extraction and unfurling
POST /v1/disputes$0.05AI-powered dispute resolution (7 policy templates)

Quick Start

Using curl

# Free — no payment needed
curl https://api.aiservices.to/v1/prices?symbols=BTC,ETH

# Paid — returns 402 with payment instructions
curl https://api.aiservices.to/v1/indicators?symbol=BTC

Using the Python SDK

pip install aiservices
from aiservices import AIServicesClient

client = AIServicesClient()

# Free endpoints
prices = client.get_prices("BTC,ETH,XRP")
sentiment = client.get_fear_greed()

# Paid endpoints (x402 payment handled automatically by x402 client)
indicators = client.get_indicators("BTC")

Using with LangChain

from aiservices import create_aiservices_tools
from langchain.agents import create_react_agent

tools = create_aiservices_tools()
# 8 tools: crypto_prices, technical_indicators, defi_yields, fear_greed,
# ip_geolocation, url_metadata, resolve_dispute, list_policies
agent = create_react_agent(llm, tools)

Using as MCP Server (Claude Desktop, Cursor, etc.)

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

Dispute Resolution Engine

AIServices includes an AI-powered dispute resolution system with 7 policy templates:

PolicyUse Case
freelance-deliveryFreelancer vs client delivery disputes
milestone-paymentMilestone-based project payment disputes
sla-monitoringService level agreement violations
api-qualityAPI response quality / uptime disputes
bug-bountyBug bounty validity disputes
scope-disputeProject scope creep disputes
physical-commercePhysical goods transaction disputes
# Resolve a dispute
result = client.resolve_dispute(
    policy="milestone-payment",
    dispute={
        "freelancer": "Delivered all 5 milestones on time",
        "client": "Milestone 3 was late and incomplete",
        "evidence": ["git_commits", "slack_logs"]
    }
)

Discovery & Listings

  • x402scan — Listed
  • CDP Bazaar — Extension enabled
  • agent-tools.cloud — Listed
  • MCPize — Config ready
  • Smithery — Config ready
  • mcp.so — Submitted

Tech Stack

  • FastAPI (Python 3.11+)
  • x402 v2 payment middleware (Coinbase CDP)
  • USDC on Base Mainnet
  • Deployed on Railway with custom domain + TLS

Testing

python3 -m pytest tests/

Architecture

Agent → x402-enabled HTTP client → AIServices API
                                      ├── Free endpoints (no payment)
                                      ├── Paid endpoints (402 → pay → 200)
                                      └── Dispute engine (LLM-powered, 7 policies)

License

MIT — Build on it, fork it, integrate it.

Links

  • API: api.aiservices.to
  • GitHub: github.com/vbkotecha/aiservices-api
  • x402 Protocol: x402.org
  • Base: base.org

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Links

Source CodeRemote Endpoint

Details

Published July 3, 2026
Version 2.0.0
0 installs
Local & Remote Plugin

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