MCP server

Probity Wallet Reputation

ai.probitylabs/wallet-reputation

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Pre-transaction risk screening for Ethereum addresses: signed score, sanctions, audit trail.

Website

At a glance

Type

MCP server

Publisher

probitylabs.ai (verified by the MCP Registry)

Status

Working at last check

Tools

7

Token cost

About 1,595 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http wallet-reputation https://mcp.probitylabs.ai/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.wallet-reputation]
url = "https://mcp.probitylabs.ai/mcp"

Gemini CLI

{"mcpServers":{"wallet-reputation":{"httpUrl":"https://mcp.probitylabs.ai/mcp"}}}

Cursor

{"mcpServers":{"wallet-reputation":{"url":"https://mcp.probitylabs.ai/mcp"}}}

VS Code

{"servers":{"wallet-reputation":{"type":"http","url":"https://mcp.probitylabs.ai/mcp"}}}

Antigravity

agy mcp add wallet-reputation https://mcp.probitylabs.ai/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"wallet-reputation","server_url":"https://mcp.probitylabs.ai/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"wallet-reputation","server_url":"https://mcp.probitylabs.ai/mcp"}

Tools

• compare_screening_runs ~240 tokens
  Compare two completed screens by their screeningId and see what changed. Costs zero credits. Two runs of the same address show why the reputation score moved. Two different addresses show a side by side. Returns each run score, band, and confidence, a reason level diff, and the score change broken i
• get_address_screening_history ~250 tokens
  Retrieve the authenticated user's prior screening runs for a specific Ethereum address, each with the same detail as screen_address: reputation score, band, confidence, sanctioned flag, and the top evidence signals. Use it to recall context for an already-screened address. Costs zero credits, unlike
• get_credit_balance ~125 tokens
  Returns the authenticated user's current credit balance as a whole number of credits. One credit screens one address: screen_address costs 1 credit, while this call and the history, narrative, and compare tools cost zero. Check it before screen_address to confirm a screen can be afforded.
• get_monitoring_events ~331 tokens
  Returns the authenticated user's monitoring events: material reputation changes detected on their monitored addresses, oldest first, each with the change type, a summary, and the band transition. Also returns a deterministic digest that rolls up the window into one sentence. Page forward by passing
• get_screening_history ~195 tokens
  Returns the authenticated user's most recent screening runs across all addresses, newest first, each with the same detail as screen_address: score, band, confidence, sanctioned flag, and the top evidence signals. Returns up to `limit` runs (default 20), so raise `limit` to reach older runs. Costs ze
• get_screening_narrative ~195 tokens
  Retrieve the enhanced Probity review for a completed screen by its screeningId. Costs zero credits. Returns the narrative and the key concerns it raises. It is generated in the background after screen_address returns, so it may briefly be pending. Retry shortly if so.
• screen_address ~259 tokens
  Screen an Ethereum address or `.eth` ENS name for on-chain reputation risk. Costs 1 credit. Returns a signed reputation score (-100 to +100), a risk band, a confidence level, a sanctioned flag, the top evidence factors, a screeningId, and a link to the full report. The enhanced review is generated i

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