Ghl MCP Server vs MCP Echarts

A side-by-side look at the Ghl MCP Server and MCP Echarts MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.

Ghl MCP Server logoGhl MCP ServerCustomer Data Platforms · Local subprocess (stdio)GoHighLevel CRM for AI agents. 60+ tools for contacts, messaging, calendars, and payments.56GoodAuth: not declaredMCP Echarts logoMCP EchartsCustomer Data Platforms · Local subprocess (stdio)Generate visual charts using Apache ECharts with AI MCP dynamically.68GreatAuth: no auth required

Verdict: choose Ghl MCP Server for customer data platforms work as a local process; choose MCP Echarts for customer data platforms as a local process. You can also run both side by side in one mcpServers block.

Which MCP server should you choose?

Ghl MCP Server logoChoose Ghl MCP Server when

  • You need dedicated capabilities in the Customer Data Platforms domain.
  • You prefer a local stdio subprocess transport.
  • You want tools like ghl_search_contacts, ghl_get_contact, ghl_create_contact.
Explore Ghl MCP Server

MCP Echarts logoChoose MCP Echarts when

  • You need dedicated capabilities in the Customer Data Platforms domain.
  • You prefer a local stdio subprocess transport.
  • Its auth model fits you: No auth required.
  • You want tools like generate_echarts, generate_area_chart, generate_line_chart.
Explore MCP Echarts

Feature & specification comparison

Rows where the two servers differ are marked.

SpecGhl MCP Server logoGhl MCP ServerMCP Echarts logoMCP Echarts
CategoryCustomer Data PlatformsCustomer Data Platforms
Quality signal56/100 · Good68/100 · Great
Install commandConfirmedConfirmed
TransportLocal subprocess (stdio)Local subprocess (stdio)
AuthNot declaredNo auth required
PricingNot declaredFree
Required env varsNone listedNone listed
Verified ownerCommunity listingCommunity listing
GitHub stars1270
Directory activity 2 views 0 installs 0 upvotes 6 views 0 installs 0 upvotes
Tools6418

Tools & capabilities

Ghl MCP Server tools 64

  • ghl_search_contactsSearch contacts in GoHighLevel by query, tags, filters, or custom fields. Returns paginated results. Args: - query (string): Search term (name, email, phone) - locationId (string): Location ID (uses default if omitted) - limit (number): Results per page (1-100, default 20) - filters (object): Advanced filters like tags, date ranges, custom fields Returns: List of contacts with pagination metadata.
  • ghl_get_contactGet a single contact by ID with all details including custom fields, tags, and activity.
  • ghl_create_contactCreate a new contact in GoHighLevel. Args: - firstName, lastName, email, phone (strings): Basic contact info - tags (string[]): Tags to apply - source (string): Lead source - customFields (array): Custom field values as [{id, field_value}] - locationId (string): Location ID (uses default if omitted) Returns: Created contact object with ID.
  • ghl_update_contactUpdate an existing contact. Only pass fields you want to change.
  • ghl_delete_contactPermanently delete a contact. This cannot be undone.
  • ghl_upsert_contactCreate or update a contact by email/phone. If a match is found, updates; otherwise creates new.
  • ghl_add_contact_tagsAdd one or more tags to a contact.
  • ghl_remove_contact_tagsRemove one or more tags from a contact.
  • ghl_get_contact_notesGet all notes for a contact.
  • ghl_create_contact_noteAdd a note to a contact.
  • ghl_delete_contact_noteDelete a specific note from a contact.
  • ghl_get_contact_tasksGet all tasks for a contact.
  • +52 more on the listing page

MCP Echarts tools 18

  • generate_echartsGenerate visual charts using Apache ECharts with echarts option and configuration dynamically. Apache ECharts is an Open Source JavaScript Visualization Library, which is used to create interactive charts and visualizations in web applications. It supports a wide range of chart types, including line charts, bar charts, pie charts, scatter plots, and more. ECharts is highly customizable and can be integrated with various data sources to create dynamic visualizations.
  • generate_area_chartGenerate an area chart to show data trends under continuous independent variables and observe the overall data trend, such as, displacement = velocity (average or instantaneous) × time: s = v × t. If the x-axis is time (t) and the y-axis is velocity (v) at each moment, an area chart allows you to observe the trend of velocity over time and infer the distance traveled by the area's size.
  • generate_line_chartGenerate a line chart to show trends over time, such as, the ratio of Apple computer sales to Apple's profits changed from 2000 to 2016.
  • generate_bar_chartGenerate a bar chart to show data for numerical comparisons among different categories, such as, comparing categorical data and for horizontal comparisons.
  • generate_pie_chartGenerate a pie chart to show the proportion of parts, such as, market share and budget allocation.
  • generate_radar_chartGenerate a radar chart to display multidimensional data (four dimensions or more), such as, evaluate Huawei and Apple phones in terms of five dimensions: ease of use, functionality, camera, benchmark scores, and battery life.
  • generate_scatter_chartGenerate a scatter chart to show the relationship between two variables, helps discover their relationship or trends, such as, the strength of correlation, data distribution patterns.
  • generate_sankey_chartGenerate a sankey chart to visualize the flow of data between different stages or categories, such as, the user journey from landing on a page to completing a purchase.
  • generate_funnel_chartGenerate a funnel chart to visualize the progressive reduction of data as it passes through stages, such as, the conversion rates of users from visiting a website to completing a purchase.
  • generate_gauge_chartGenerate a gauge chart to display single indicator's current status, such as, CPU usage rate, completion progress, or performance scores.
  • generate_treemap_chartGenerate a treemap chart to display hierarchical data and can intuitively show comparisons between items at the same level, such as, show disk space usage with treemap.
  • generate_sunburst_chartGenerate a sunburst chart to display multi-level hierarchical data, such as, organizational structure, file system hierarchy, or category breakdown.
  • +6 more on the listing page

Ready-to-paste client configs

Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.

Ghl MCP Server

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "ghl-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@northrosetech/ghl-mcp-server"
      ]
    }
  }
}

MCP Echarts

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "hustcc-mcp-echarts": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-echarts"
      ]
    }
  }
}

Frequently asked questions

Ghl MCP Server is categorized under Customer Data Platforms and uses a local stdio subprocess. MCP Echarts belongs to Customer Data Platforms and uses a local stdio subprocess. Pick Ghl MCP Server for customer data platforms work and MCP Echarts for customer data platforms.

Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.

Ghl MCP Server has no declared pricing — check the project's own site. MCP Echarts is listed as free. Auth: no auth required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.

Yes. MCP clients support multiple servers: add ghl-mcp-server and hustcc-mcp-echarts as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Ghl MCP Server has a quality signal of 56/100 (Good) with 2 views, 0 installs and 1 GitHub stars. MCP Echarts has 68/100 (Great) with 6 views, 0 installs and 270 GitHub stars.