SAP HANA CLI
activeio.github.SAP-samples/hana-cli
MCP provider published as SAP HANA CLI. Listed version: 4.202607.1.
Directory description: 150+ SAP HANA database tools as MCP tools for AI assistants
Showing 277–288 of 319 attributed MCPNav entries in the 2026-10-09 snapshot. This is a licensed subset of the category’s 798 deduplicated directory records.
Source coverage: MCP.so 528 · MCPNav 319. Catalog counts can overlap; the listing cards below contain only MCPNav records.
io.github.SAP-samples/hana-cli
MCP provider published as SAP HANA CLI. Listed version: 4.202607.1.
Directory description: 150+ SAP HANA database tools as MCP tools for AI assistants
MCP server for S.C.A.L.A. Score API — let Claude, ChatGPT, and AI agents search 250M+ companies
Compile SQL and Prisma schemas to Zod, TypeScript and Pydantic, and generate realistic synthetic mock API data.
io.github.Arun-kc/schemabrain
MCP provider published as SchemaBrain. Listed version: 0.6.0.
Directory description: The trust and intelligence layer between AI agents and your database.
Connect to any relational database to get valid SQL and ask questions about the schema, such as what a column prefix means.
Real-time PostgreSQL & Supabase database schema access for AI-IDEs via Model Context Protocol. Provides live database context through secure SSE connections with three powerful tools: get_schema, analyze_database, and check_schema_alignment. SchemaFlow
io.github.saurabhsharma2u/search-console-mcp
MCP provider published as Search Console MCP. Listed version: 2.1.3.
Directory description: Google Search Console + Bing + GA4 + AdSense — unified SEO intelligence for AI agents.
Fill a PostgreSQL database with synthetic test data generated from its live schema: plan, run and track seeds without production data.
io.github.nteract/semiotic
MCP provider published as Semiotic. Listed version: 3.12.1.
Directory description: Verified React chart generation: select, validate, repair, render, and inspect charts through MCP.
Read-only BI pipeline governance: each table's stage from source to Power BI, what blocks the next stage, static SQL/TMDL/PBIR checks and evidence packs.
Snowflake access that works behind a corporate proxy, with read and optional write operations.
Launch and delete serverless MariaDB Cloud databases, execute SQL and use database-level AI agents for text-to-SQL and conversations.
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