peaka-mcp-server

Model Context Protocol (MCP) is a new, standardized protocol for managing context between large language models (LLMs) and external systems.

Peaka Model Context Protocol server that provides access to Peaka's text2SQL capabilities.

This server enables LLMs to inspect schemas and execute sql queries on provided Peaka projects.

Components

Resources

• peaka_sql_query_rule_set

  • Peaka SQL Query Rule Set is guidelines for writing sql queries for Peaka.

• peaka_artifact_template

  • Style guide and HTML template for generating visual reports, dashboards, and artifacts from Peaka query results.

Tools

Every project-scoped tool takes a projectId argument. If the MCP client does not already know the projectId, it should call peaka_list_projects first and pass the chosen id to subsequent calls. The server itself is stateless with respect to project selection — each call carries its own projectId.

• peaka_list_projects

  • List all projects accessible with the current API key. For Partner API keys, enumerates projects across all organizations and workspaces. For Project API keys, returns the single project bound to the key.

• peaka_query_golden_sqls

  • Query question/sql pairs from Peaka's golden sql vector store. If an existing query matches the user's question, it can be reused directly.

• peaka_execute_sql_query

  • Runs the given sql query on Peaka.

• peaka_get_project_metadata

  • Get metadata for all catalogs, schemas, and tables in the Peaka project in a single call. Optionally filter by catalogId and/or schemaName.

• peaka_list_catalogs

  • List all available catalogs in the Peaka project. Returns catalog names, types, and connection info.

• peaka_list_schemas

  • List all available schemas for a given catalog in the Peaka project.

• peaka_list_tables

  • List all available tables for a given catalog and schema in the Peaka project.

• peaka_list_columns

  • List all columns for a given table in the Peaka project. Returns column names, data types, and constraints.

• peaka_get_relations

  • Get table relationships (foreign keys) for a catalog. Useful for constructing accurate JOINs.

• peaka_get_table_statistics

  • Get column-level statistics for a table, including distinct-value fractions per column.

• peaka_create_cache

  • Create a cache for a table in the Peaka project. Caching a table improves query performance by storing the data locally.

• peaka_create_cache_batch

  • Create caches for multiple tables in a single call. Preferred over repeated peaka_create_cache calls.

• peaka_get_cache_statuses

  • Get all cache statuses for tables in the Peaka project, including current caching state, execution history, and progress.

• peaka_refresh_cache_full

  • Trigger a full refresh on an existing cache.

• peaka_refresh_cache_incremental

  • Trigger an incremental update on an existing cache, fetching only new or changed rows.

• peaka_update_cache

  • Update cache settings (schedules) on an existing cache. Replaces both schedules entirely each call.

• peaka_delete_cache

  • Delete an existing cache; the underlying table is not affected.

• peaka_list_queries

  • List all saved queries in the Peaka project. Returns query names, SQL content, and whether they are plain or materialized.

• peaka_execute_query

  • Execute a saved query by its ID in the Peaka project.

• peaka_create_query

  • Create a named, saved query in the project's semantic layer. Returns the created query including its ID.

• peaka_update_query

  • Update an existing saved query's display name and/or SQL body.

• peaka_delete_query

  • Delete a saved query from the Peaka project.

• peaka_refresh_materialized_query

  • Trigger a refresh on a materialized saved query. Use peaka_list_queries to find query IDs whose queryType is MATERIALIZED.

• peaka_list_connections

  • List all data source connections in the Peaka project, including each connection's id, name, and type.

• peaka_get_connection_detail

  • Get connection-specific configuration detail for a data source connection.

• peaka_create_semantic_catalog

  • Create a semantic catalog in the Peaka project. A semantic catalog groups semantic tables (saved queries surfaced as queryable tables) under a single namespace.

• peaka_create_semantic_table

  • Create a semantic table inside a semantic catalog, backed by a saved query. Requires catalogId, schemaName, tableName, and queryId.

• peaka_delete_semantic_table

  • Delete a semantic table from a semantic catalog. The underlying saved query is not affected.

• peaka_refresh_project_metadata

  • Refresh project metadata for a specific catalog. Long-running; triggers the refresh and polls for completion.

• peaka_get_metadata_refresh_status

  • Check the current status of a metadata refresh job for a specific catalog.

Related MCP server: SQLite MCP Server

Usage with Claude Desktop

• Edit the configuration file config.json:

  • on macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

  • on Windows: %APPDATA%\Claude\claude_desktop_config.json

• Add the following configuration to the mcpServers object:

{
  "mcpServers": {
    "peaka": {
      "command": "npx",
      "args": ["-y", "@peaka/mcp-server-peaka@latest"],
      "env": {
        "PEAKA_API_KEY": "<YOUR_API_KEY>"
      }
    }
  }
}

Change the {PEAKA_API_KEY} with your project API Key. Check out Peaka Documentation for creating your API Key and follow detailed instructions by clicking here.

• Restart Claude Desktop

Packaging as a Claude Desktop extension

This repo ships with a pack script that builds the server and then runs mcpb pack (from @anthropic-ai/mcpb) to produce a .mcpb bundle — a zip-like archive containing the built server and manifest.json that Claude Desktop can load as a custom MCP extension.

npm run pack

This produces peaka-mcp-server.mcpb at the repo root. To install it, open Claude Desktop → Settings → Extensions -> Advanced Settings -> Install Extension -> Select the .mcpb file -> Enter your API key when prompted and enable the extension.

Environment variables

You can use following environment variable for configuration:

Contact

For feature requests and bugs, please create an issue in this repo. For further support, see the following resources:

• Peaka Community Discord