GitHub MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GITHUB_TOKEN | Yes | GitHub Personal Access Token with repo scope |
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
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_userC | Get GitHub user information |
| create_repoC | Create a new GitHub repository |
| push_to_repoC | Push content to a GitHub repository |
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 3 tools
Each tool has a clearly distinct purpose: create_repo handles repository creation, get_user retrieves user information, and push_to_repo manages content pushes to repositories. There is no overlap in functionality, making it easy for an agent to select the correct tool for each task.
The tools follow a consistent verb_noun pattern (create_repo, get_user, push_to_repo), which is predictable and readable. The minor deviation is that 'push_to_repo' includes a preposition, but this does not significantly impact consistency or clarity.
With only 3 tools, the server feels thin for a GitHub domain, which typically involves more operations like listing repositories, managing issues, or handling pull requests. While the tools are well-scoped, the count is borderline low for comprehensive GitHub functionality.
The tool surface has significant gaps for a GitHub server. It lacks core operations such as listing repositories, updating or deleting repositories, managing issues or pull requests, and searching code. This incomplete coverage will likely cause agent failures when trying to perform common GitHub workflows.