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MCP Server for Snowflake including Cortex AI, object management, SQL orchestration, semantic view consumption, and more
| Date | Stars |
|---|---|
| 2026-07-31 | 293 |
| 2026-08-05 | 294 |
| 2026-08-06 | 294 |
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# [DEPRECATED] Snowflake Cortex AI Model Context Protocol (MCP) Server
> [!CAUTION]
> **This project is deprecated and no longer maintained.** Please migrate to the official [Snowflake MCP Server](https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-agents-mcp). The official server is actively developed, fully supported by Snowflake, and continues to add new features.
This community MCP server previously provided tooling for Snowflake Cortex AI, object management, and SQL orchestration. It is no longer supported. For all new and existing use cases, please use the official [Snowflake MCP Server](https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-agents-mcp) instead.
---
<details>
<summary>Legacy documentation (for reference only)</summary>
The MCP server supported the below capabilities:
- **[Cortex Search](https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-search/cortex-search-overview)**: Query unstructured data in Snowflake as commonly used in Retrieval Augmented Generation (RAG) applications.
- **[Cortex Analyst](https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-analyst)**: Query structured data in Snowflake via rich semantic modeling.
- **[Cortex Agent](https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-agents)**: Agentic orchestrator across structured and unstructured data retrieval
- **Object Management**: Perform basic operations against Snowflake's most common objects such as creation, dropping, updating, and more.
- **SQL Execution**: Run LLM-generated SQL managed by user-configured permissions.
- **[Semantic View Querying](https://docs.snowflake.com/en/user-guide/views-semantic/overview)**: Discover and query Snowflake Semantic Views
# Getting Started
## Service Configuration
A simple configuration file is used to drive all tooling. An example can be seen at [services/configuration.yaml](services/configuration.yaml) and a template is below. The path to this configuration file will be passed to the server and the contents used to create MCP server tools at startup.
**Cortex Services**
Many Cortex Agent, Search, and Analyst services can be added. Ideal descriptions are both highly descriptive and mutually exclusive.
Only the explicitly listed Cortex services will be available as tools in the MCP client.
**Other Services**
Other services include tooling for [object management](object-management), [query execution](sql-execution), and [semantic view usage](semantic-view-querying).
These groups of tools can be enabled by setting them to True in the `other_services` section of the configuration file.
**SQL Statement Permissions**
The `sql_statement_permissions` section ensures that only approved statements are executed across any tools with access to change Snowflake objects.
The list contains SQL expression types. Those marked with True are permitted while those marked with False are not permitted. Please see [SQL Execution](#sql-execution) for examples of each expression type.
```
agent_services: # List all Cortex Agent services
- service_name: <service_name>
description: > # Describe contents of the agent service
<Agent service that ...>
database_name: <database_name>
schema_name: <schema_name>
- service_name: <service_name>
description: > # Describe contents of the agent service
<Agent service that ...>
database_name: <database_name>
schema_name: <schema_name>
search_services: # List all Cortex Search services
- service_name: <service_name>
description: > # Describe contents of the search service
<Search services that ...>
database_name: <database_name>
schema_name: <schema_name>
- service_name: <service_name>
description: > # Describe contents of the search service
<Search services that ...>
database_name: <database_name>
schema_name: <schema_name>
analyst_services: # List all Cortex Analyst semantic models/views
- service_name: <service_name> # Create deExcerpt of 29,854 characters
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