MCP server

MDataAccess Official

io.github.MDataAccess/MDataAccess

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

Paid business, people, company, lead, and web intelligence for autonomous AI agents.

Source

At a glance

Type

MCP server

Publisher

mdataaccess.com (verified by the MCP Registry)

Status

Working at last check

Tools

7

Token cost

About 642 tokens per request

Sets up in

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

Last checked

25 Oct 2026, 20:29 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 mdataaccess https://api.mdataaccess.com/mcp/

Claude Desktop

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

Codex (config.toml)

[mcp_servers.mdataaccess]
url = "https://api.mdataaccess.com/mcp/"

Gemini CLI

{"mcpServers":{"mdataaccess":{"httpUrl":"https://api.mdataaccess.com/mcp/"}}}

Cursor

{"mcpServers":{"mdataaccess":{"url":"https://api.mdataaccess.com/mcp/"}}}

VS Code

{"servers":{"mdataaccess":{"type":"http","url":"https://api.mdataaccess.com/mcp/"}}}

Antigravity

agy mcp add mdataaccess https://api.mdataaccess.com/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":"mdataaccess","server_url":"https://api.mdataaccess.com/mcp/","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"mdataaccess","server_url":"https://api.mdataaccess.com/mcp/"}

Tools

• enrich_company ~91 tokens
  Prepare a paid company enrichment request when a company name or domain is known.
• enrich_person ~128 tokens
  Prepare a paid person enrichment request when an email, LinkedIn URL, or name is known.
• find_decision_maker ~100 tokens
  Prepare a paid request for one senior decision-maker at a known company and function.
• find_lead ~95 tokens
  Prepare a paid request for one compact sales-ready lead at a known company and function.
• read_webpage ~72 tokens
  Prepare a paid request to read clean text from a known public webpage URL.
• search_companies ~79 tokens
  Prepare a paid PDL SQL company-search request. Exactly one company is returned by the API.
• search_people ~77 tokens
  Prepare a paid PDL SQL person-search request. Exactly one profile is returned by the API.

Browse

• GitHub tools
• Email
• Social media
• Company data
• GitHub and code hosting

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