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100pro-token-risk

100pro Token Risk Screen — MCP server

100pro-token-risk MCP connector

Pre-trade risk screening for EVM token contracts and Solana SPL mints, exposed as a remote MCP tool. Honeypot/tax/owner flags, LP-lock state, mint & freeze authority, transfer fee/hook, holder concentration, liquidity depth, wash-trade signals — ending in a one-line Verdict.

  • Endpoint: https://x402.rendraputra.dev/mcp (MCP streamable HTTP, JSON-RPC 2.0)

  • Tool: token_risk_screen (token, chain) — read-only, up to 5 comma-separated addresses per call

  • Chains: base, ethereum, bsc, polygon, arbitrum, solana

  • Price: $0.10 USDC per single token, $0.25 for a 2-5 token batch, on Base, paid with x402 v2 — no account, no API key, no subscription. An unpaid call answers HTTP 402 with the payment challenge; pay it and retry. Free metadata: /llms.txt, /openapi.json, /.well-known/x402.

Use it as a remote MCP server (no install)

{
  "mcpServers": {
    "100pro-token-risk": {
      "type": "http",
      "url": "https://x402.rendraputra.dev/mcp"
    }
  }
}

Related MCP server: contract-auditor

Use it through this stdio bridge

Some clients only speak stdio. This tiny proxy forwards initialize, tools/list and tools/call to the remote endpoint (stdlib only, no dependencies):

{
  "mcpServers": {
    "100pro-token-risk": {
      "command": "python3",
      "args": ["/absolute/path/to/100pro_mcp.py"]
    }
  }
}

or straight from the repo, if you use uv:

{
  "mcpServers": {
    "100pro-token-risk": {
      "command": "uvx",
      "args": ["--from", "git+https://github.com/rndrpp/100pro-mcp", "100pro-mcp"]
    }
  }
}

What a call returns

A markdown report per token, e.g.:

## 0x8335…2913 (base)
**Verdict: PASS — no blocking risk signal found.**
...

If the call is unpaid the server answers with the x402 payment challenge (HTTP 402). Pay $0.10 USDC (single token) or $0.25 (2-5 token batch) on Base to the payTo in the challenge and retry; the response carries a PAYMENT-RESPONSE receipt naming the settled transaction.

Why paying beats a free scanner

Free scanners are the product being sold elsewhere: rate-limited, delay-baiting, or an upsell funnel. This one is a single priced call with a fail-closed guarantee — the report is generated and returned only after the USDC transfer is confirmed on Base, and every settle attempt is logged with the on-chain verdict.

MIT licensed.

Repo layout

  • 100pro_mcp.py — repo-root entry point (python3 100pro_mcp.py, and the file container checkers execute after cloning); it bootstraps pro100/bridge.py.

  • pro100/bridge.py — the actual stdio bridge: answers initialize / tools/list locally (so introspection needs no network) and forwards tools/call to the hosted endpoint.

  • pyproject.toml — packages pro100, console script 100pro-mcp (so uvx --from git+https://github.com/rndrpp/100pro-mcp 100pro-mcp works).

Python 3.9+, standard library only — nothing to install for the plain-script path.

Available Tools

1 tool
token_risk_screenA
Read-onlyIdempotent
Inspect

Pre-trade risk screen for an EVM token contract or a Solana SPL mint (Base, Ethereum, BSC, Polygon, Arbitrum, Solana): honeypot/tax/owner flags, LP-lock state, mint & freeze authority, holder concentration, liquidity depth, wash-trade signals, and a final Verdict line. Up to 5 comma-separated tokens per call. $0.10 USDC for one token, $0.25 for a 2-5 token batch, on Base via x402 v2 — no account, no API key. An unpaid call answers HTTP 402 with the payment challenge; sign it and retry with the payment under params._meta['x402/payment'].

ParametersJSON Schema
NameRequiredDescriptionDefault
chainNoOptional; inferred from the address shape when omitted
tokenYesContract address (0x...) or Solana mint; up to 5 comma-separated

TDQS

A4.4/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The annotations already declare readOnly/openWorld/idempotent, and the description adds substantial non-obvious behavior: the x402 payment model, the HTTP 402 challenge on unpaid calls, and the required retry with params._meta['x402/payment']. It also summarizes the verdict-style output, which is useful context not present in the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Every sentence carries information: purpose and output list, batch size, pricing/payment, and retry behavior. The risk attributes are grouped in a colon-delimited list after the purpose, making the key content scannable regardless of the description's length.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a paid, multi-chain tool with no output schema, the description covers chains, input limits, pricing, auth, payment retry, and the main output categories, and it explicitly mentions a final Verdict line. It could specify the verdict format more concretely, but it gives an agent enough to invoke the tool and interpret the high-level result.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and both token and chain are already described, including batch limit and chain inference, so the description mostly restates those details. Its only incremental parameter-related detail is the x402 payment key under params._meta, which is valuable but sits outside the schema properties; the high schema coverage makes the baseline 3 appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with 'Pre-trade risk screen' and names the exact resource (EVM token contract or Solana SPL mint), followed by a concrete list of outputs (honeypot/tax/owner flags, LP-lock state, holder concentration, liquidity depth, wash-trade signals, Verdict). This gives a specific verb+resource and leaves no ambiguity about what the tool evaluates.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There are no sibling tools, so no explicit alternative routing is needed, but the description clearly frames when it applies: pre-trade screening, supported chains, a 5-token batch limit, and a paid-call caveat. It provides clear context while stopping short of explicit 'do not use for X' exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 1 tool updatev0.1.0
    • First observedtoken_risk_screen

TDQS

A4.5/5.0

Scored across 1 tool

Disambiguation5/5

Only one tool exists, so there is no possibility of overlapping or confusable tools. The tool's purpose is clearly and uniquely defined.

Naming Consistency5/5

With a single tool, there are no naming conflicts or mixed conventions. 'token_risk_screen' is a clear, descriptive snake_case name.

Tool Count4/5

Although one tool is minimal, it is comprehensive for the server's focused purpose of token risk screening. The scope is narrow enough that a single well-designed tool is reasonable.

Completeness5/5

The tool covers the core risk-screening dimensions: honeypot/tax/owner flags, LP-lock, mint/freeze authority, holder concentration, liquidity depth, wash-trade signals, and a verdict. Multi-token batching and multi-chain support further round out the surface.

Maintenance

ActivityMaintained
ResponsivenessNo issues

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