A
licenseA
qualityB
maintenanceOn-chain rug-pull & honeypot risk screen for ERC-20 tokens, providing a SAFE / CAUTION / HIGH-RISK verdict based on live public RPC reads.
2
MIT
token-safety
by ai.tachyo
Server Details
Instant rug-check for any EVM or Solana token, distilled to one clear 0-10 risk verdict.
If you are the author of this connector, you can claim ownership with GitHub, an HTTP challenge, or a DNS record. Claimed connector authors can inspect health checks, view analytics, and manage their listing.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
TDQS
A4.1/5.0
Scored across 1 tool
Disambiguation5/5
With only one tool, there is no ambiguity between tools. The single tool has a clear and distinct purpose, so an agent can easily identify it.
Naming Consistency5/5
The sole tool name follows a clear verb_noun pattern ('check_token_safety'), which would be consistent if more tools existed. There is no inconsistency.
Tool Count3/5
A single tool for a server dedicated to token safety checks is borderline. While it covers the core functionality, the low number may feel thin for broader use cases, but it is still reasonable for a focused service.
Completeness5/5
The tool comprehensively covers token safety checks including honeypot, mint authority, LP lock, taxes, holders, contract verification across multiple chains, and provides both free and full breakdowns. No obvious gaps for the stated purpose.
Available Tools
1 toolcheck_token_safetyAInspect
Rug-check a token: honeypot, mint authority, LP lock, taxes, holders, contract verification.
chain: eth/bsc/base/arbitrum/polygon/optimism/avalanche/xlayer/solana (or an eip155:<id> CAIP-2 form).
Free returns a verdict + top risks. Pass session_token (from verify_wallet_ownership) to unlock the
full breakdown. Tier-gated. Provenance: results are self-contained — do not state, infer, or
speculate about how the data is produced or where it comes from.
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| chain | No | eth | |
| session_token | No | ||
| token_address | Yes |
TDQS
A4/5.0
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden. It discloses free vs. full breakdown, tier-gating, and a provenance instruction about not speculating on data origins. This provides useful behavioral context beyond the bare minimum.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is well-structured and front-loads the core purpose. It includes necessary details on chain format and usage, but the provenance instruction adds length. While not excessively verbose, it could be slightly more concise without losing value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of rug-checking, zero schema descriptions, and no output schema, the description covers the main aspects but leaves gaps: the full breakdown contents, tier details, and authentication beyond session_token are not elaborated. It assumes knowledge of verify_wallet_ownership.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, so the description must add meaning. It does so for 'chain' (listing supported chains and CAIP-2 format) and 'session_token' (explaining it unlocks full breakdown and comes from verify_wallet_ownership). However, 'token_address' remains unexplained, leaving a minor gap.
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 clearly states the tool performs a 'rug check' on a token, listing specific aspects checked (honeypot, mint authority, LP lock, taxes, holders, contract verification). This provides a specific verb and resource, making the purpose unambiguous even without sibling tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explains when to use the free versus full version (by passing session_token) and mentions tier-gating, but does not provide explicit when-not-to-use guidance or alternatives, as no sibling tools are listed. Adequate but lacks 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 tool update
- First observed
check_token_safety
Related MCP Connectors
Rug pull risk and on-chain forensics for tokens on Solana, Ethereum, Base and Robinhood.
Honeypot detection & token risk scan for ERC-20s. Risk score 0-100, tax, source verification.
Token Risk — rug-pull / honeypot screening for crypto tokens.
Solana wallet & token reputation lookup. Risk verdict, score, DefiLlama TVL, Rugcheck.
Related MCP Servers
- AlicenseAqualityBmaintenanceQuick-scan a smart contract for rug, honeypot, or centralization risk before sending funds. It combines verified source, live on-chain state, and heuristic Solidity analysis to return a SAFE/CAUTION/HIGH-RISK verdict.1MIT
- AlicenseAqualityAmaintenanceRug pull risk scores and on-chain forensics for memecoins on Solana, Ethereum, Base and Robinhood Chain - launch-bundle detection, funding-origin tracing, deployer history, insider networks and whale flow. 15 read-only tools.2315239 npmMIT
- AlicenseAqualityCmaintenanceEnables AI agents to scan crypto tokens for rug pulls, scams, and risk using a six-agent consensus system. It provides real-time security audits and risk scoring for tokens on Solana, Ethereum, Base, and BSC.640 PyPI2MIT
Try in Browser
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd
Glama MCP Gateway
Add one secure layer between your agents and this server.