A powerful MCP server built with NitroStack
Add via Cursor Settings UI (Settings > Features > MCP > Add New MCP Server):
{
"mcpServers": {
// your other mcp servers
"bruteforce-mcp": {
"url": "https://bruteforce-1-6a5-bruteforce-amrita-university-amritapuri-campus.app.nitrocloud.ai/mcp"
}
}
}
Connect remote tools directly via Claude's Web UI:
Configure custom tools directly via ChatGPT's Web UI:
Add the following configuration block under mcpServers in your Antigravity configuration file (~/.gemini/config/mcp_config.json):
{
"mcpServers": {
// your other mcp servers
"bruteforce-mcp": {
"serverUrl": "https://bruteforce-1-6a5-bruteforce-amrita-university-amritapuri-campus.app.nitrocloud.ai/mcp"
}
}
}
Add the following configuration block to your Codex configuration file (~/.codex/config.toml):
[mcp_servers.bruteforce-mcp] url = "https://bruteforce-1-6a5-bruteforce-amrita-university-amritapuri-campus.app.nitrocloud.ai/mcp"
Connect directly using the Server-Sent Events endpoint:
https://bruteforce-1-6a5-bruteforce-amrita-university-amritapuri-campus.app.nitrocloud.ai/mcp
A simple health-check tool that confirms the BruteForce MCP server is running
Deterministic entity resolution using blocking + Jaro-Winkler similarity. Returns scored matches with matched features. No LLM involved.
Find all ownership paths between two entities via DFS traversal of owns_pct edges. Returns sourced evidence edges for each path. Deterministic, no LLM.
Compute effective ownership control from a root entity to a target entity. Multiplies percentages along chains, sums parallel paths. Returns the ONLY source of on-screen percentages. Deterministic, no LLM.
Find entities that share a common attribute (director, address, agent, phone) with the given entity. Used to pivot investigative modality when direct ownership paths are thin.
Find trade co-consignee relationships for a given entity. Determines which other entities share shipments with the target entity via bill-of-lading records.
Deterministically score evidence edges for confidence. Computes a weighted average of dataset quality, reliability tier, recency, completeness, and provenance. Returns the ONLY source of confidence numbers on screen.
Deterministically match an entity against the loaded sanctions list. Uses Jaro-Winkler similarity on entity name against sanctioned names. Returns matches with scores and rationale.
Assemble a complete investigation dossier for a root-target pair. Combines control computation, evidence scoring, and sanctions matching into a single audit-ready report.