Security & Testing
bitfence.ai
Pre-transaction risk scoring for AI agents on Solana and Base, providing a score, recommendation, and reason before signing transactions.
ENDPOINT 1
https://api.bitfence.ai/mcp
Known tools 0
No tool metadata was available in the registry cache.
CONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.bitfence-ai]
url = "https://api.bitfence.ai/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"bitfence-ai": {
"type": "http",
"url": "https://api.bitfence.ai/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: bitfence-ai
Remote MCP URL: https://api.bitfence.ai/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"bitfence-ai": {
"url": "https://api.bitfence.ai/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"bitfence-ai": {
"type": "http",
"url": "https://api.bitfence.ai/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "bitfence-ai",
"transport": "streamable-http",
"url": "https://api.bitfence.ai/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Trust Data Available
BuiltWith Trust API v2 evidence for bitfence.ai was fetched 2026-08-02T15:39:21.706Z.
bitfence.ai is assessed as Trusted: Domain runs a meaningful technology spend, consistent with a real business.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.