An MCP server that provides tools for interacting with Deep State Representation (DSR) graphs.
{
"mcpServers": {
"io-github-grupo-avispa-dsr-mcp-server": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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An MCP server that provides tools for interacting with Deep State Representation (DSR) graphs.
Is it safe?
No package registry to scan.
No authentication — any process on your machine can connect.
License not specified.
Is it maintained?
Last commit 188 days ago. 1 stars.
Will it work with my client?
Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
No automated test available for this server. Check the GitHub README for setup instructions.
No known vulnerabilities.
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Privacy-first. MCP is the protocol for tool access. We're the virtualization layer for context.
Pre-build reality check. Scans GitHub, HN, npm, PyPI, Product Hunt — returns 0-100 signal.
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An MCP (Model Context Protocol) server that provides a comprehensive set of tools to query, manipulate, and analyze Deep State Representation (DSR) graphs. This server enables AI assistants to interact with robot perception and scene understanding data through standardized MCP tools with real-time graph operations and intelligent node relationship management.
| Tool Name | Description | Parameters |
| ------------------------- | ----------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |
| check_dsr_connection | Check DSR connection and return status information | — |
| get_all_nodes | Retrieve all nodes from the DSR graph | — |
| get_nodes_by_type | Filter nodes by their type (e.g., robot, person, room) | node_type: str |
| get_node_details | Get detailed information about a specific node including attributes and edges | node_identifier: str |
| get_all_edges | Retrieve all edges from the DSR graph | — |
| insert_node | Insert a new node into the DSR graph | name: str, node_type: str |
| insert_edge | Insert a new edge between two nodes in the DSR graph | origin_id: str, destination_id: str, edge_type: str |
| insert_edge_attribute | Insert or update an attribute for an edge in the DSR graph | origin_id: str, destination_id: str, attribute_name: str, attribute_value: str, attribute_type: str = 'string' |
| update_node | Update a node with new attributes in the DSR graph | node_id: str, attribute_name: str, attribute_value: str, attribute_type: str = 'string' |
| delete_node | Delete a node from the DSR graph | node_id: str |
| delete_edge | Delete an edge from the DSR graph | origin_id: str, destination_id: str, edge_type: str |
| save_graph | Save the current state of the DSR graph to a JSON file | Interactive file path selection |
Resources provide read-only, efficient access to DSR graph data. They are ideal for querying information without modifying the graph state.
| Resource URI | Description | Returns