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"Creating a Postgres MCP server in Python" matching MCP servers:

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    An MCP server that enables AI agents to securely interact with PostgreSQL databases with least-privilege scopes, PII masking, and human approval for writes.
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    This MCP server provides secure access to databases for AI agents, enforcing authentication, authorization, human approval, logging, and notifications to prevent dangerous actions.
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    Talk to Okta IGA like you talk to a coworker. Import access data, discover patterns, and create entitlement bundles—all through natural conversation.
    Last updated
    MIT
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    MCP server that provides secure PostgreSQL access with LIME agent identity verification, whitelist-based authorization, and audit events.
    Last updated
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    Provides agent certification and trust verification tools for AI agents, enabling certification checks, trust score calculations, audit ticket issuance, and emergency kill switch activation through the A-SOC trust network.
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    A PostgreSQL MCP server that automatically detects and obfuscates personally identifiable information (PII) in query results using column-name heuristics and NLP analysis. It enables AI agents to interact securely with databases by masking sensitive data by default while allowing selective unmasking under user control.
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    4
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    An MCP authorization server implementing OAuth2/OIDC flows, supporting dynamic client registration, PKCE, consent screens, and client ID metadata documents for MCP authorization.
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    Blocks AI coding assistants from installing non-existent packages and accessing non-existent files.
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    Apache 2.0
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    Enables comprehensive security vulnerability scanning and code quality analysis for Python applications. Provides detailed reports with scoring, actionable suggestions, and comparison tracking specifically designed for backend developers working with frameworks like Django, Flask, and FastAPI.
    Last updated
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    Free email for AI agents with hardware attestation, real SMTP/IMAP/JMAP, and real-time notifications.
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    Apache 2.0
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    Provides real-time content safety protection for large language models by detecting and preventing risks in both input and output content across multiple dimensions including compliance, ethics, and security.
    Last updated
    MIT
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    Authentik MCP provides seamless integration with Authentik's API, supporting both full-featured and diagnostic modes. These enable secure, automated user, group, and system management through MCP-compatible tools.
    Last updated
    16
    MIT
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    MCP server for analyzing Checkov results and generating executive explanations of vulnerabilities in Terraform infrastructure.
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  • A
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    Counterparty risk scoring for agentic commerce. Scores wallets, domains, IPs, and companies 0-100 before AI agents transact via x402 micropayments on Base
    Last updated
    1
    3
    MIT