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127,227 tools. Last updated 2026-05-05 10:49

"Overview and Information on PG Vector" matching MCP tools:

  • Permanently remove incorrect or unwanted information from AI agent memory by ID, including deletion from vector index and knowledge graph.
    MIT
  • Filter documents by metadata before ranking by vector similarity to enable production RAG and semantic search pipelines.
    MIT
  • Diagnose embedding setup or perform manual similarity checks by creating vector embeddings for short texts. Returns the vector and dimension without indexing.
    MIT
  • Retrieve an overview of on-chain indicator alert subscriptions including pricing, supported conditions, subscriber flow, registry addresses per chain, and subscription stats.
    MIT

Matching MCP Servers

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    PG-MCP is an HTTP server implementation that enables AI systems to interact with PostgreSQL databases via MCP, providing tools for querying, connecting to multiple databases, and exploring schema resources. The system enriches context by extracting table/column description from database catalogs.
    Last updated
    26
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    Enables AI assistants to query PostgreSQL databases, inspect schemas, and retrieve complete DDL with built-in read-only protection. It supports multiple database connections and allows for secure database interaction and exploration via the Model Context Protocol.
    Last updated
    5
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    MIT

Matching MCP Connectors

  • ship-on-friday MCP — wraps StupidAPIs (requires X-API-Key)

  • Comprehensive PostgreSQL documentation and best practices, including ecosystem tools

  • Retrieve detailed information about a Heroku add-on, including plan state, billing details, and configuration. Supports identifiers like add-on ID, name, or attachment name, requiring app context for attachments.
  • Retrieve overview statistics from a Microsoft Word document, including paragraph count, headings, footnotes, comments, and images.
    MIT
  • Retrieve a detailed list of all Docker Compose projects deployed on a virtual machine, including project names, statuses, and file paths. Use this tool to monitor and manage projects on your VPS instance via the Hostinger API.
    MIT
  • Retrieve relevant AI agent memories using hybrid vector, full-text, and keyword search with optional deep search and channel filtering.
    MIT
  • Find similar vector embeddings in Zilliz Cloud collections using vector similarity search with optional filtering and result customization.
    Apache 2.0
  • Get a comprehensive overview of Echo3s: learn what it is, who it targets, and how it enables AI-powered multi-voice audiobook creation.
    MIT