kumo-rfm-mcp
Verified Safeby kumo-ai
Overview
An MCP server enabling AI assistants to query KumoRFM for training-free predictions, evaluations, and explanations on relational multi-table data by interpreting it as a temporal heterogeneous graph.
Installation
python -m kumo_rfm_mcp.serverEnvironment Variables
- KUMO_API_KEY
Security Notes
The server uses standard practices for dependency management and API key handling, explicitly prompting for `KUMO_API_KEY` via environment variable or OAuth2. No 'eval', obfuscation, or hardcoded secrets were found. Communication defaults to standard input/output (stdio), which is generally secure for local agent interaction, reducing direct network attack surface. Local file system access for reading CSV/Parquet files is an inherent and necessary part of its data processing functionality; potential risks from file operations would primarily stem from an agent being prompted to misuse file path arguments for unauthorized access, rather than a vulnerability in the server's code itself. The use of `uv` for virtual environment management is a robust practice.
Similar Servers
mcp-neo4j
The MCP Neo4j Cypher server enables AI models to interact with a Neo4j graph database, execute Cypher queries (read and write), explore the graph schema, and manage query performance and response sizes.
aleph
Aleph is an MCP server that provides LLMs programmatic access to gigabytes of local data without consuming context, implementing the Recursive Language Model (RLM) architecture.
mcp-server-datahub
Enables AI agents to interact with DataHub for comprehensive data discovery, governance, lineage exploration, and SQL query generation across an organization's data ecosystem.
Web-Algebra
Translates natural language instructions into JSON-formatted domain-specific language operations for loading, querying, and writing RDF Linked Data, consumable by AI agents.