mcp-easy-installer
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GITHUB_TOKEN | No | Optional GitHub token to prevent rate limiting when searching MCP servers. |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| install_mcp_serverA | Install a new MCP server from a GitHub repository URL OR link this: "https://github.com/overstarry/qweather-mcp" OR https://github.com/modelcontextprotocol/servers/tree/main/src/brave-search or npm package |
| search_mcp_serverA | Search for MCP servers on GitHub. Uses GITHUB_TOKEN from server config. |
| uninstall_mcp_serverB | Uninstall an MCP server |
| repair_mcp_serverA | Repair an MCP server by uninstalling and reinstalling it. Requires the keyword to find the server and the original installation URL. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 4 tools
Each tool has a distinct and clear purpose: install, uninstall, repair, and search. There is no overlap or ambiguity between them.
All tool names follow a consistent verb_noun pattern in snake_case (e.g., install_mcp_server, uninstall_mcp_server), making them predictable and easy to understand.
With only 4 tools, the server is well-scoped for an installer. Each tool serves a necessary function without unnecessary bloat.
The tool set covers the core lifecycle: install, uninstall, repair, and search. While a 'list installed servers' tool might be useful, it is not a critical gap given the current scope.