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Close

by close

Close — a powerful sales CRM with built-in calling, email, SMS, and pipeline management to help teams close deals faster

Sales CRM with built-in calling, email, SMS, and pipeline management

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Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Built-in calling and messagingComplete pipeline management

best for

  • / Sales teams managing prospect outreach
  • / Account managers tracking deal progress
  • / Small businesses centralizing customer communications

capabilities

  • / Create and update leads and contacts
  • / Track deals through sales pipeline
  • / Send emails and SMS messages
  • / Make and log phone calls
  • / View sales activity and history
  • / Manage follow-up tasks

what it does

Integrates with Close CRM to manage sales contacts, deals, and communications directly from your AI assistant.

about

Close is an official MCP server published by close that provides AI assistants with tools and capabilities via the Model Context Protocol. Close — a powerful sales CRM with built-in calling, email, SMS, and pipeline management to help teams close deals faster

how to install

You can install Close in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.

license

MIT

Close is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

FAQ

What is the Close MCP server?
Close is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Close?
This profile displays 30 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 out of 5—verify behavior in your own environment before production use.

Discussion

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MCP server reviews

Ratings

4.830 reviews
  • Pratham Ware· Dec 16, 2024

    Close is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Hana Patel· Dec 4, 2024

    Strong directory entry: Close surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Tariq Khanna· Nov 23, 2024

    Close has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Hana Tandon· Oct 14, 2024

    According to our notes, Close benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Alexander Choi· Sep 25, 2024

    Close is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Yash Thakker· Sep 21, 2024

    I recommend Close for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Kaira Chawla· Sep 17, 2024

    Strong directory entry: Close surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Kiara Khanna· Sep 5, 2024

    Close is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Diya Anderson· Aug 24, 2024

    We evaluated Close against two servers with overlapping tools; this profile had the clearer scope statement.

  • Diya Huang· Aug 16, 2024

    We wired Close into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

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