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locus.report

Provides search and execution of tools from a generated Locus catalog.

x402 supported2 endpoints4 known toolsFirst detected July 6, 2026Last detected September 6, 2026

ENDPOINT 1

https://mcp.locus.report/mcp

No auth detected

MCP server metadata

Name
locus-mcp
Version
0.1.0
Capabilities
tools.listChanged

Known tools 2

locus_search_tools

Every time the task is a US address or place and you need official public records or local-government context and you do not already know the tool name, search this catalog before locus_execute and before paying a generic scrape of the same official source.

Inferred read-only
locus_execute

Run one Locus catalog tool by name after locus_search_tools or a known tool name.

Inferred read-only

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.locus-mcp]
url = "https://mcp.locus.report/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "locus-mcp": {
      "type": "http",
      "url": "https://mcp.locus.report/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: locus-mcp
Remote MCP URL: https://mcp.locus.report/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": {
    "locus-mcp": {
      "url": "https://mcp.locus.report/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "locus-mcp": {
      "type": "http",
      "url": "https://mcp.locus.report/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "locus-mcp",
  "transport": "streamable-http",
  "url": "https://mcp.locus.report/mcp"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

ENDPOINT 2

https://api.locus.report/mcp

No auth detected

MCP server metadata

Name
locus-mcp
Version
0.1.0
Capabilities
tools.listChanged

Known tools 2

locus_search_tools

Every time the task is a US address or place and you need official public records or local-government context and you do not already know the tool name, search this catalog before locus_execute and before paying a generic scrape of the same official source.

Inferred read-only
locus_execute

Run one Locus catalog tool by name after locus_search_tools or a known tool name.

Inferred read-only

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.locus-mcp]
url = "https://api.locus.report/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "locus-mcp": {
      "type": "http",
      "url": "https://api.locus.report/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: locus-mcp
Remote MCP URL: https://api.locus.report/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": {
    "locus-mcp": {
      "url": "https://api.locus.report/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "locus-mcp": {
      "type": "http",
      "url": "https://api.locus.report/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "locus-mcp",
  "transport": "streamable-http",
  "url": "https://api.locus.report/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 locus.report was fetched 2026-08-23T12:09:16.050Z and is being refreshed.

Trust status Neutral

locus.report is assessed as Neutral: No suspicious signals found, but no strong positive signal either

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.