Context Space provides observability for AI agents by managing and retrieving contextual information. It exposes APIs for storing, querying, and updating context data. The server connects to various data sources and integrates with other MCP servers to maintain a unified context space. Developers use it to build AI agents that require persistent context across interactions, such as customer support bots or personalized recommendation systems.
Context Space provides observability for AI agents by managing and retrieving contextual information. It exposes APIs for storing, querying, and updating context data. The server connects to various data sources and integrates with other MCP servers to maintain a unified context space. Developers use it to build AI agents that require persistent context across interactions, such as customer support bots or personalized recommendation systems.
Add this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"context-space-context-space-github": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-context-space-context-space-github"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from context space?"
API Key Required
This server requires an API key from context space. Add it to your environment or config.
| Variable | Required | Description |
|---|---|---|
| CONTEXT_SPACE_API_KEY | Yes | Your context space API key |
"What resources are available in context space?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in context space"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in context space with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
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