"A search for information about agent pools" matching MCP servers:

This MCP server provides secure access to databases for AI agents, enforcing authentication, authorization, human approval, logging, and notifications to prevent dangerous actions.

Read-only MySQL MCP server that lets AI agents list tables, describe schemas, and run SELECT/SHOW/EXPLAIN queries with a row cap, bound to a single database for safety.

A server that enables document searching using Vertex AI with Gemini grounding, improving search results by grounding responses in private data stored in Vertex AI Datastore.

Enables full-text search of macOS iMessages including link preview metadata. Works as an MCP server for Claude Desktop to search your messages locally.

Downloads your entire Search Console dataset into a local SQLite database, then gives your LLM a pre-built SQL query library for every standard SEO analysis type, with context available for your LLM to perform any SQL query to answer your questions and analyse for you.

An MCP server for managing agent memory using provenance tracking, decay-weighted retrieval, and feedback loops to optimize information recall. It allows agents to store insights in a local SQLite database and rank them based on confidence, age, and usefulness.

Enables AI systems to perform full-text and semantic search operations over structured/unstructured data in Azure Cognitive Search, with capabilities for document indexing and management through natural language.

Provides access to Naver Search APIs, allowing AI agents to search across multiple categories (blogs, news, books, images, shopping items, etc.) with structured responses optimized for LLM consumption.

A version-agnostic MCP server for Odoo that enables AI agents to interact with any Odoo app's data, schema, and source code, supporting tasks like data CRUD, schema mapping, code analysis, and feature implementation.

A ready-to-run MCP gateway and multi-agent scheduling system with 14 built-in tools and 3-layer performance optimization, reducing latency by 65%.

MCP server that aggregates job listings from Remotive and Arbeitnow, with local SQLite caching, application tracking, and saved searches.

Enables AI agents to manage CRM data including companies, contacts, prospects, pipelines, forecasts, and tasks via typed MCP tools, with local SQLite storage and a JSON CLI.

MCP server that connects AI assistants to Redash, enabling listing of assets, read-only query execution, dashboard inspection, and alert management through the Redash API.

A safety-gated Python MCP server for Metabase that lets MCP clients and agents inspect Metabase, run governed queries, and create or maintain dashboards, cards/questions, collections, snippets, permissions, and other Metabase assets through the Metabase REST API.

Enables sandboxed Python execution and read-only SQL queries against a service database through MCP.

Enables extraction of structured data from documents like invoices, receipts, and bank statements using local Vision AI (Ollama) or cloud providers (Gemini), with data stored in a local SQLite database.

Retrieves comprehensive patient information including personal details, insurance plans, and employee data through the get_patient tool. Supports Docker Compose deployment and integration with Watson Orchestrate for healthcare data access.

A multi-tool task agent MCP server with file search, SQLite query, calculator, and report writing tools. Enables Claude Code, Claude Desktop, or Cursor to control the same tools used by the agent, with guardrails for safety.

Enables AI assistants and MCP clients to ask natural-language questions about DuckDB or CSV data and receive safe, read-only SQL-generated tabular insights with automatic schema discovery and multi-table joins.

Enables users to chat with an LLM agent that creates and reads Word, Excel, PDF, and JSON files, and accesses databases (letters, documents, LIMS) according to user permissions.