Agentradar Mcp vs Jadx Ai Mcp — MCP Server Comparison | AllMCPs
Side-by-Side Model Context Protocol Comparison
Agentradar Mcp vs Jadx Ai Mcp
In-depth architectural comparison of the Agentradar Mcp and Jadx Ai Mcp MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
Agentradar Mcp
Security · Local stdio
Quality: 59/100 (Good) | Auth: API Key required
Jadx Ai Mcp
Security · Local stdio
Quality: 61/100 (Good) | Auth: No auth required
Verdict Summary: Choose Agentradar Mcp if you need specialized Security tools running via a local process. Choose Jadx Ai Mcp if your workspace requires Security integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.
Which MCP Server Should You Choose?
Choose Agentradar Mcp when:
You need dedicated capabilities in the Security domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: API Key required (Freemium).
You have access to required keys: AGENTRADAR_API_URL, AGENTRADAR_OPERATOR_KEY.
You need dedicated capabilities in the Security domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Primary tools included: Integrated MCP server inside modified JADX-GUI, HTTP access to currently selected class and project code, Real-time AI code review and recommendations.
On-chain trust oracle for the ERC-8004 + x402 agent economy. 18 tools for verifying AI agents: 6-signal composite trust scoring (0-100), 272-wallet scam database, ERC-8004 identity lookup, EAS attestations on Base mainnet. x402-payable. Free getscore / checkscam. Live at vvpro.ai · npm @agentradar/mcp.
JADX-AI-MCP is a plugin and MCP Server for the JADX decompiler that integrates directly with Model Context Protocol (MCP) to provide live reverse engineering support with LLMs like Claude.
Category & Scope
Tools & Capabilities Breakdown
Agentradar Mcp Tools (18)
verify_agent
Run a full 6-signal trust verification on an AI agent or wallet address. Returns composite trust score (0-100), individual signal scores, risk flags, and recommendations. Use this before transacting with or delegating to an unknown agent.
compare_agents
Compare two AI agents side-by-side on trust scores and security signals. Useful for choosing between competing agents that offer similar capabilities.
batch_verify
Verify multiple AI agent addresses in a single call (max 10). Returns trust scores for each address. Efficient for evaluating a list of candidate agents.
get_score
Get a cached trust score for an AI agent address. Faster than full verification — returns the last computed score without re-running signals. Free endpoint, no payment required.
get_badge_url
Ready-to-Paste Client Configurations
Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).
Agentradar Mcp is categorized under Security and uses a local stdio subprocess. In contrast, Jadx Ai Mcp belongs to Security using local stdio subprocess. Select Agentradar Mcp when you need capabilities focused on security and Jadx Ai Mcp when you require tools for security.
Generate a trust badge URL for an AI agent. Returns an embeddable SVG badge showing the agent's trust score. Useful for displaying trust status in UIs or documentation.
attest_agent
Score an AI agent and write an on-chain EAS attestation recording the trust score permanently. Costs $5 via x402 or requires an operator key. Use when you need a verifiable, immutable trust record for an agent.
get_attestations
List all on-chain trust attestations written by AgentRadar. Returns paginated attestation records including addresses, scores, and transaction hashes. Requires operator key.
get_attestation_by_tx
Look up a specific attestation by its transaction hash. Returns the full attestation record including the scored address, trust score, and on-chain details.
lookup_identity
Look up an AI agent's on-chain identity (ERC-8004 registration, ENS name, contract metadata). Returns who the agent claims to be and whether those claims are verified.
lookup_reputation
Look up an AI agent's on-chain reputation — ERC-8004 feedback history, attestation count, and community signals. Shows how established and trusted the agent is in the ecosystem.
resolve_agent_uri
Resolve an agent address to its registered URI, metadata, and service endpoints. Useful for discovering how to interact with a verified agent.
check_scam
Check if a wallet address is in the AgentRadar scam database. Returns matching scam records with severity, chain, source, and notes. Use this as a quick safety check before any transaction.
+6 more tools listed on main page
Jadx Ai Mcp Tools (6)
Integrated MCP server inside modified JADX-GUI
HTTP access to currently selected class and project code
Real-time AI code review and recommendations
Built-in Claude Desktop integration for live interaction
MCP client interoperability via local loopback
Tools to fetch classes, methods, fields, and smali code