Skip to main content
Glama

Server Details

Solana token safety for AI agents — rug-pull, honeypot & Token-2022 trap detection before you buy.

Ownership verified
Status
Unhealthy
Last Tested
Transport
Streamable HTTP
URL
Repository
MrWizardlyLoaf/rugcheck-ai
GitHub Stars
1
Server Listing
RugCheck AI

Frequently Asked Questions

Discussions

No comments yet. Be the first to start the discussion!

Related MCP Connectors

Related MCP Servers

  • A
    license
    A
    quality
    B
    maintenance
    Provides post-deploy Solana threat intelligence, enabling AI agents to check operators, tokens, and network stats for detecting rug pulls and malicious activity.
    5
    27
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    On-chain Solana token safety for trading agents — traces coordinated wallet funding, same-block Jito bundles, serial-rug deployers and live coordinated dumps into one Exit-Liquidity Risk verdict before a swap. Free tier, then $0.02 USDC/query via x402.
    1
    43
    1
    MIT
Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

B3.4/5.0
Disambiguation3/5

Several tools overlap in purpose, particularly scan_token and verify_token_safety both offering a full safety verdict. Tools like is_safe, batch_scan, and compare_tokens also reuse aspects of the core scan, creating ambiguity about which to use for a given task.

Naming Consistency2/5

Tool names are inconsistent in style: some use verb_noun (scan_token, simulate_sell), others are noun phrases (holders_breakdown, rug_forecast) or mixed (verify_token_safety, execute_safe_swap). Underscores are used sporadically, and names like 'scammer_dna' lack clarity.

Tool Count4/5

With 15 tools focused on token safety analysis, the count is appropriate for covering various aspects without being overwhelming. The scope is well-defined, and each tool addresses a specific need, though some consolidation could reduce redundancy.

Completeness4/5

The server covers the full lifecycle of token safety analysis: scanning, specific checks (authorities, liquidity, holders), simulation, comparison, and forecasting. Minor gaps exist (e.g., no tool for retrieving basic token metadata), but the core safety workflow is well-supported.