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SUPOS▌

freezonex

by freezonex

Integrate MCP workflows with SUPOS to harness SUPOS services and capabilities within your applications efficiently.

Integrates with SUPOS platform, enabling applications to leverage SUPOS services and capabilities within MCP-based workflows.

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Direct SUPOS platform integrationReal-time industrial data access

best for

  • / Industrial automation engineers
  • / Manufacturing data analysis
  • / Process monitoring applications
  • / Factory digitization projects

capabilities

  • / Query SUPOS process databases
  • / Access industrial automation data
  • / Retrieve real-time sensor readings
  • / Monitor production metrics
  • / Extract historical process data

what it does

Connects to the SUPOS industrial automation platform to access process data and control systems. Enables integration of SUPOS services into AI workflows and applications.

about

SUPOS is a community-built MCP server published by freezonex that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate MCP workflows with SUPOS to harness SUPOS services and capabilities within your applications efficiently. It is categorized under databases, analytics data.

how to install

You can install SUPOS in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

SUPOS is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

README content is unavailable from source data for this server.

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FAQ

What is the SUPOS MCP server?
SUPOS is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for SUPOS?
This profile displays 62 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.

Use Cases▌

Direct Database Queries from AI

Enable Claude to query your database directly using natural language

Example

Ask 'Show me top 10 customers by revenue this month' and get SQL results instantly

✓

Eliminate manual SQL writing for ad-hoc queries, get insights 10x faster

Data Analysis & Reporting

Generate complex reports and analytics without leaving conversation

Example

Analyze sales trends, cohort retention, user behavior patterns conversationally

✓

Democratize data access—non-technical team members can query databases

Schema Exploration

Understand database structure, relationships, and data models

Example

'Explain the user_orders table schema and its relationships'

✓

Onboard engineers faster, explore unfamiliar databases efficiently

Data Validation & Quality Checks

Run data quality queries to catch anomalies and inconsistencies

Example

Find duplicate records, missing values, orphaned foreign keys automatically

✓

Maintain data integrity with less manual SQL work

Implementation Guide▌

Prerequisites

  • ›Claude Desktop 0.7.0+ or Cursor with MCP support
  • ›Database credentials (read-only recommended for safety)
  • ›Network access from Claude client to database
  • ›Understanding of database security and access control

Time Estimate

15-30 minutes including configuration and testing

Installation Steps

  1. 1.Install MCP server: npm install -g @modelcontextprotocol/server-[name]
  2. 2.Configure database connection in Claude Desktop config (~/.claude/mcp.json)
  3. 3.Provide connection string: host, port, database, username, password
  4. 4.Restart Claude Desktop to load MCP server
  5. 5.Test connection: 'List all tables in database'
  6. 6.Run simple query: 'Show me 5 rows from users table'
  7. 7.Verify results and permissions are correct
  8. 8.Document query patterns for team use

Troubleshooting

  • ⚠Connection refused: Check database is running and network accessible
  • ⚠Authentication failed: Verify credentials, check user permissions
  • ⚠Claude can't see tables: Grant appropriate read permissions to database user
  • ⚠Slow queries: Add indexes, limit result set size, use read replicas
  • ⚠MCP server not loading: Check config syntax, restart Claude Desktop

Best Practices▌

✓ Do

  • +Use read-only database credentials to prevent accidental writes
  • +Connect to read replica, not production primary database
  • +Set query timeout limits to prevent long-running queries
  • +Document database schema and common queries for AI context
  • +Monitor query performance and optimize slow queries
  • +Use connection pooling for better performance
  • +Test with non-production data first

✗ Don't

  • −Don't use production write credentials—risk of data corruption
  • −Don't query production database during peak traffic hours
  • −Don't expose sensitive PII without proper access controls
  • −Don't skip query result validation—AI can misinterpret schema
  • −Don't allow unlimited result set sizes—set LIMIT clauses
  • −Don't share database credentials in plain text config files

💡 Pro Tips

  • ★Create database views for common queries to simplify AI access
  • ★Add schema comments/descriptions so AI understands column meanings
  • ★Use semantic table/column names ('customer_lifetime_value' not 'clv')
  • ★Set up query logging to audit what Claude is querying
  • ★Create saved query templates for recurring analysis
  • ★Combine with data visualization tools for better insights

Technical Details▌

Architecture

MCP server acts as bridge between Claude and database, translating natural language to SQL queries and returning results in structured format.

Protocols

  • Model Context Protocol (MCP)
  • Database-specific protocols (PostgreSQL, MySQL, MongoDB)

Compatibility

  • PostgreSQL
  • MySQL
  • SQLite
  • MongoDB
  • Redis

When to Use This▌

✓ Use When

Use for ad-hoc data queries, exploratory analysis, report generation, schema exploration, and democratizing data access. Best for read-heavy analytics workloads.

✗ Avoid When

Avoid for production write operations, mission-critical transactions, real-time OLTP workloads, or when database contains sensitive PII without proper access controls. Use read replicas, not primary.

Integration▌

  • →Read replica connection for analytics queries
  • →Database view layer to abstract complex joins
  • →Query result caching for repeated questions
  • →Audit logging of all AI-generated queries

Discussion

Product Hunt–style comments (not star reviews)
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Ratings

4.5★★★★★62 reviews
  • ★★★★★Ren Sanchez· Dec 24, 2024

    SUPOS reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • ★★★★★Aarav Patel· Dec 20, 2024

    Strong directory entry: SUPOS surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • ★★★★★Hiroshi Thompson· Dec 20, 2024

    We evaluated SUPOS against two servers with overlapping tools; this profile had the clearer scope statement.

  • ★★★★★Chaitanya Patil· Dec 12, 2024

    Useful MCP listing: SUPOS is the kind of server we cite when onboarding engineers to host + tool permissions.

  • ★★★★★Anika Sharma· Dec 8, 2024

    SUPOS has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • ★★★★★Anaya White· Nov 27, 2024

    SUPOS reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • ★★★★★Anaya Gonzalez· Nov 15, 2024

    SUPOS has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • ★★★★★Alexander Flores· Nov 11, 2024

    I recommend SUPOS for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • ★★★★★Emma Robinson· Nov 11, 2024

    Useful MCP listing: SUPOS is the kind of server we cite when onboarding engineers to host + tool permissions.

  • ★★★★★Piyush G· Nov 3, 2024

    We evaluated SUPOS against two servers with overlapping tools; this profile had the clearer scope statement.

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