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daxoom

daxoom

Remote
github.com/CITROOTBusiness & Marketing0Updated 3w ago
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About daxoom

Daxoom is a hosted business-data service for AI agents, with owner-verified profiles and provenance details on every response. Its remote MCP server and REST API provide business information such as hours, offerings, and prices.

Key features

  1. 01Search business listings
  2. 02Retrieve profiles, hours, and prices
  3. 03Access owner Q&A and AI context
  4. 04Browse business schemas and categories
  5. 05View verification and freshness metadata

Use cases

  1. 01Find local businesses by city and category
  2. 02Check a business’s hours and offerings
  3. 03Ground an agent’s answer in verified business data

MCP support

Daxoom exposes a remote Streamable HTTP MCP server at https://mcp.daxoom.com/. Clients authenticate with an X-API-Key to use its business-data tools and browseable resources.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://mcp.daxoom.com/
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

All endpoints
Streamable HTTPhttps://mcp.daxoom.com/Auth required

Tools

Details

From the project README

Daxoom — AI-Visibility Business Data (MCP + REST)

smithery badge

What schema.org is to web crawlers, Daxoom is to AI agents.

Daxoom is a hosted, owner-verified business-data layer for AI agents. Every response carries provenance (verification level, completeness score, freshness, upstream sources). One profile feeds ChatGPT, Claude, Perplexity, Gemini, and any MCP-compatible client.

This repository holds the public developer artifacts for the service — the MCP manifest, OpenAPI spec, llms.txt, the tool catalog, and copy-paste client configs. It contains no server source: Daxoom is a proprietary, hosted service (see License).

Connect (MCP — remote Streamable HTTP)

Daxoom is a remote-only MCP server at https://mcp.daxoom.com/, authenticated with an X-API-Key header (same key as the REST /pubapi). There is no local install — the server runs on Daxoom's infrastructure.

{
  "mcpServers": {
    "daxoom": {
      "url": "https://mcp.daxoom.com/",
      "transport": "http",
      "headers": { "X-API-Key": "dxm_YOUR_KEY_HERE" }
    }
  }
}

Per-client snippets (Claude Desktop, Cursor, Continue, Cline) are in examples/.

Capabilities

  • 12 tools — search, full profiles, hours, offerings (menu/services/prices), attributes, owner Q&A, AI-grounding context, categories; a feedback loop (report_incorrect_data, submit_review); and schema explainability (list_fields, describe_field).
  • 5 browsable resources — daxoom://categories, daxoom://schema/business, daxoom://schema/attributes, daxoom://schema/questions, daxoom://stats.
  • Provenance envelope — every payload is {data, _meta} with verification level (O/E/S/C), completeness, freshness, sources, and pagination.

Full catalog: TOOLS.md · Machine manifest: mcp-server.json.

REST API

GET https://api.daxoom.com/pubapi/v1/businesses?city=irvine&category=restaurant
Header: X-API-Key: dxm_YOUR_KEY_HERE

Formats: application/json (default), application/ld+json (schema.org JSON-LD), text/plain (AI-friendly narrative). Spec: openapi.yaml.

Data model

  • Public business data (open data + public records) is public.
  • Owner-entered data stays the owner's — contributed to Daxoom for AI-agent use.
  • Daxoom-generated data (enrichment, computed signals) is Daxoom's.

All access is governed by the Daxoom API Terms.

License

The Daxoom platform and hosted service are proprietary © CITROOT LLC — the server source is not licensed for self-hosting or redistribution. The contents of this repository (docs, manifest, OpenAPI, and the example configuration snippets) may be freely used and copied to connect to the hosted service. See LICENSE.

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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.