SERVER

Glmmcp

Rank #8,236

io.github.AceDataCloud/mcp-glm

MCP server for GLM chat completions using Zhipu AI models via AceDataCloud

16 versions

by acedatacloud (30 servers)View repository ↗

First listed

Jun 28, 2026

Last publish date

Oct 12, 2026

PURPOSE

What you can do with Glmmcp

Glmmcp is a Model Context Protocol (MCP) server published by acedatacloud. It ranks #8,236 of 144,396 active servers on MCP Toplist. Glmmcp is listed across 3 registries — Official MCP, PulseMCP and Glama, with 16 tracked versions. It was first listed on Jun 28, 2026 and most recently updated on Oct 12, 2026.

Not verifiedMCP Toplist has not yet written a checked profile for this server, so the paragraph above is assembled from registry data only. The repository README is the authority on what it does.

CAPABILITIES AND LIMITATIONS

What Glmmcp can and cannot do

Not verifiedMCP Toplist has not catalogued this server's tools or limitations. The repository README lists them.

REQUIREMENTS

What you need before using Glmmcp

DeclaredNo credentialsNo credentials declared

The registry listing declares no required environment variables or authentication. This is declared metadata, not a verified install — the repository README is the authority.

MCP Toplist probed the public endpoint on Oct 15, 2026 and could not complete the MCP handshake (jsonrpc error). Requirements remain unverified.

Declared by the Official MCP Registry, last synced Oct 16, 2026. Not independently verified by MCP Toplist.

Declared in the registry install config

ACEDATACLOUD_API_TOKEN · required

Hosted endpoint declared as public.

INSTALLATION AND FIRST TASK

Connect Glmmcp and confirm it works

Remote · HTTP

claude mcp add --transport http mcp-glm https://glm.mcp.acedata.cloud/mcp

Python package (PyPI)

claude mcp add mcp-glm -e "ACEDATACLOUD_API_TOKEN=<your ACEDATACLOUD_API_TOKEN>" -- uvx mcp-glm

Replace each placeholder with your own value before saving.

Remote · HTTP

[mcp_servers.mcp-glm]
url = "https://glm.mcp.acedata.cloud/mcp"

Add to ~/.codex/config.toml.

Python package (PyPI)

[mcp_servers.mcp-glm]
command = "uvx"
args = ["mcp-glm"]

[mcp_servers.mcp-glm.env]
ACEDATACLOUD_API_TOKEN = "<your ACEDATACLOUD_API_TOKEN>"

Add to ~/.codex/config.toml. Replace each placeholder with your own value before saving.

Remote · HTTP

https://glm.mcp.acedata.cloud/mcp

Settings → Connectors → “Add custom connector”, then paste this URL.

Python package (PyPI)

{
  "mcpServers": {
    "mcp-glm": {
      "command": "uvx",
      "args": [
        "mcp-glm"
      ],
      "env": {
        "ACEDATACLOUD_API_TOKEN": "<your ACEDATACLOUD_API_TOKEN>"
      }
    }
  }
}

Add to claude_desktop_config.json (Settings → Developer → Edit Config). Replace each placeholder with your own value before saving.

Remote · HTTP

{
  "mcpServers": {
    "mcp-glm": {
      "url": "https://glm.mcp.acedata.cloud/mcp"
    }
  }
}

Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (per project).

Python package (PyPI)

{
  "mcpServers": {
    "mcp-glm": {
      "command": "uvx",
      "args": [
        "mcp-glm"
      ],
      "env": {
        "ACEDATACLOUD_API_TOKEN": "<your ACEDATACLOUD_API_TOKEN>"
      }
    }
  }
}

Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (per project). Replace each placeholder with your own value before saving.

Remote · HTTP

{
  "servers": {
    "mcp-glm": {
      "type": "http",
      "url": "https://glm.mcp.acedata.cloud/mcp"
    }
  }
}

Save as .vscode/mcp.json in your workspace.

Python package (PyPI)

{
  "servers": {
    "mcp-glm": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "mcp-glm"
      ],
      "env": {
        "ACEDATACLOUD_API_TOKEN": "<your ACEDATACLOUD_API_TOKEN>"
      }
    }
  }
}

Save as .vscode/mcp.json in your workspace. Replace each placeholder with your own value before saving.

Remote · HTTP

{
  "mcpServers": {
    "mcp-glm": {
      "serverUrl": "https://glm.mcp.acedata.cloud/mcp"
    }
  }
}

Add to ~/.codeium/windsurf/mcp_config.json.

Python package (PyPI)

{
  "mcpServers": {
    "mcp-glm": {
      "command": "uvx",
      "args": [
        "mcp-glm"
      ],
      "env": {
        "ACEDATACLOUD_API_TOKEN": "<your ACEDATACLOUD_API_TOKEN>"
      }
    }
  }
}

Add to ~/.codeium/windsurf/mcp_config.json. Replace each placeholder with your own value before saving.

Remote · HTTP

{
  "mcpServers": {
    "mcp-glm": {
      "url": "https://glm.mcp.acedata.cloud/mcp"
    }
  }
}

Python package (PyPI)

{
  "mcpServers": {
    "mcp-glm": {
      "command": "uvx",
      "args": [
        "mcp-glm"
      ],
      "env": {
        "ACEDATACLOUD_API_TOKEN": "<your ACEDATACLOUD_API_TOKEN>"
      }
    }
  }
}

Replace each placeholder with your own value before saving.

First successful task

After adding the config, ask your client to list this server's tools. A tool list confirms the connection; an empty list or an error means the server did not start or needs credentials.

ALTERNATIVES

When to choose another server

Other servers by acedatacloud

View all acedatacloud servers →

No task-specific alternatives are catalogued for Glmmcpyet; the list above is its publisher's other servers.

MAINTENANCE AND EVIDENCE

What changed, and when this was checked

First listed: Jun 28, 2026
Latest version published: Oct 12, 2026
Version history: 16 versions tracked (below)
Requirements evidence: MCP Toplist probed the public endpoint on Oct 15, 2026 and could not complete the MCP handshake (jsonrpc error). Requirements remain unverified.
Profile checked: Not yet — purpose, capabilities and requirements above come from registry data only
Ranking data as of: Oct 16, 2026

Registry sightings

PulseMCP ↗listed since Jul 7, 2026 · still listed
Official MCP ↗listed since Jul 24, 2026 · still listed
Glama ↗listed since Jul 30, 2026 · still listed

Do you maintain Glmmcp? to correct or enrich this profile.

VERSIONS

Available versions (16)

Version	Published
2026.10.12.0	Oct 12, 2026
2026.10.8.0	Oct 8, 2026
2026.10.7.0	Oct 7, 2026
2026.10.6.0	Oct 6, 2026
2026.10.4.0	Oct 4, 2026
2026.9.30.0	Sep 30, 2026
2026.9.29.0	Sep 29, 2026
2026.8.28.0	Aug 28, 2026
2026.8.24.0	Aug 24, 2026
2026.8.23.0	Aug 23, 2026
2026.8.18.0	Aug 18, 2026
2026.8.17.0	Aug 17, 2026
2026.7.30.0	Jul 30, 2026
2026.7.27.0	Jul 27, 2026
2026.7.4.0	Jul 4, 2026
2026.7.2.0	Jul 2, 2026

STANDING

#8,236of 144,396 active serversTop 10%

Ranks ahead of 136,160 of 144,396 servers on MCP Toplist.

BADGE

Show your rank

Maintain this server? Add the live rank badge to your README — it updates automatically as the leaderboard changes.

Markdown

[![MCP Toplist](https://mcptoplist.com/badge/io.github.AceDataCloud%2Fmcp-glm.svg)](https://mcptoplist.com/server/io.github.AceDataCloud%2Fmcp-glm)

HTML

<a href="https://mcptoplist.com/server/io.github.AceDataCloud%2Fmcp-glm"><img src="https://mcptoplist.com/badge/io.github.AceDataCloud%2Fmcp-glm.svg" alt="MCP Toplist: Top 10% of 144,396" /></a>

Variants: append ?metric=score or ?metric=stars to the image URL.

FAQ

Frequently asked questions

Who maintains Glmmcp?: Glmmcp is maintained by acedatacloud, which publishes 30 MCP servers (1278 total versions) tracked on MCP Toplist.
Is Glmmcp listed on the Official MCP Registry?: Yes — Glmmcp is listed on the Official MCP Registry, alongside PulseMCP and Glama.
How many versions does Glmmcp have?: MCP Toplist tracks 16 versions of Glmmcp, most recently published on Oct 12, 2026.
Where can I find the source code for Glmmcp?: The source code for Glmmcp is hosted at github.com/acedatacloud/glmmcp.

Used in projects

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