MCP Glm vs Prompts.chat MCP
A side-by-side look at the MCP Glm and Prompts.chat MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose MCP Glm for conversational ai work as a local process; choose Prompts.chat MCP for conversational ai as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose MCP Glm when
- You need dedicated capabilities in the Conversational AI domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
ACEDATACLOUD_API_TOKEN. - You want tools like
glm_chat_completions, glm_list_models, glm_get_usage_guide.
Choose Prompts.chat MCP when
- You need dedicated capabilities in the Conversational AI domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
PROMPTS_API_KEY, PROMPTS_QUERY. - You want tools like
search_prompts, get_prompt.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Conversational AI | Conversational AI |
| Quality signal | 51/100 · Good | 55/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | Not declared |
| Pricing | Not declared | Not declared |
| Required env vars | ACEDATACLOUD_API_TOKEN | PROMPTS_API_KEYPROMPTS_QUERY |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 36 |
| Directory activity | 0 views 0 installs 0 upvotes | 1 views 0 installs 0 upvotes |
| Tools | 3 | 2 |
| Full listing | View MCP Glm | View Prompts.chat MCP |
Tools & capabilities
MCP Glm tools 3
glm_chat_completionsRun a GLM chat completion callglm_list_modelsList available GLM modelsglm_get_usage_guideGet the API usage guide
Prompts.chat MCP tools 2
search_promptsSearch for AI prompts by keyword. Returns matching prompts with title, description, content, author, category, and tags.get_promptGet a prompt by ID. If the prompt contains template variables (like ${variable} or ${variable:default}), you may need to provide values for them.
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.
MCP Glm
{
"mcpServers": {
"mcp-glm": {
"command": "uvx",
"args": [
"mcp-glm"
],
"env": {
"ACEDATACLOUD_API_TOKEN": "YOUR_ACEDATACLOUD_API_TOKEN_HERE"
}
}
}
}
Prompts.chat MCP
{
"mcpServers": {
"prompts-chat-mcp": {
"command": "npx",
"args": [
"-y",
"@fkadev/prompts.chat-mcp"
],
"env": {
"PROMPTS_API_KEY": "YOUR_PROMPTS_API_KEY_HERE",
"PROMPTS_QUERY": "YOUR_PROMPTS_QUERY_HERE"
}
}
}
}
Frequently asked questions
MCP Glm is categorized under Conversational AI and uses a local stdio subprocess. Prompts.chat MCP belongs to Conversational AI and uses a local stdio subprocess. Pick MCP Glm for conversational ai work and Prompts.chat MCP for conversational ai.
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.
MCP Glm has no declared pricing — check the project's own site. Prompts.chat MCP has no declared pricing — check the project's own site. 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 mcp-glm and prompts-chat-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, MCP Glm has a quality signal of 51/100 (Good) with 0 views, 0 installs and 0 GitHub stars. Prompts.chat MCP has 55/100 (Good) with 1 views, 0 installs and 36 GitHub stars.