"Connecting to PostgreSQL database, retrieving table schema, and executing SQL queries" matching MCP servers:

MCP server providing token-efficient access to OpenAPI/Swagger specs via MCP Resources for client-side exploration.

Enables AI assistants to interact with a Magento 2 or Adobe Commerce MySQL database through 50+ read-only tools for orders, catalog, customers, CMS, configuration, indexers, and diagnostics, with support for local DDEV, Commerce Cloud, and remote/SSH connections.

An MCP server that integrates AI agents with Figma, enabling reading and programmatic modification of designs.

Enables AI agents to directly control Figma Desktop via MCP, supporting UI creation, editing, prototyping, and variable management with over 60 tools.

Enables AI assistants to read and modify Figma designs programmatically through the Model Context Protocol.

Enables LLMs to inspect schemas and execute SQL queries on Peaka projects using Peaka's text2SQL capabilities.

A server providing tools for querying and analyzing Teradata databases, including database management, data quality assessment, and SQL execution capabilities through an MCP interface.

Read-only JDBC MCP server for PostgreSQL, Oracle, and SQL Server: safe SQL access for AI agents (Claude Code, Cursor, Copilot) with schema discovery, query validation, execution plans, benchmarking, and index/statistics tools

Enables AI assistants to query and inspect IBM DB2 for i databases using read-only SQL commands and schema inspection tools. It provides secure access to table metadata, views, and indexes via the JT400 JDBC driver.

MCP server connecting Claude/Cursor to Codex CLI, enabling code analysis via @ file references, multi-turn conversations, sandboxed edits, and structured change mode.

A lightweight MCP server that enables AI assistants to execute local development tools and retrieve system status with low latency over stdio or HTTP.

An MCP server that provides AI clients with access to developer documentation via llms.txt files. Exposes tools, resources, and prompts.

A local-first, no-API-key MCP server that enables LLMs to search the web, fetch pages, and read documents using multiple engines and smart fallbacks.

Enables AI assistants to perform Google searches with real, resolvable sources and transparent search terms.

MCP server for overseer.nvim — gives any MCP-capable coding agent running inside Neovim (Claude Code, Codex, Gemini CLI, opencode) the same visibility and control over tasks the user has: list, run, tail, restart, stop. Agent-started dev servers land in the user's own task list instead of becoming invisible orphaned processes.

Deterministic encode, decode, hash and convert for agents, on the same pipeline engine as the String Utility Belt web app, CLI and editor extensions: a pipeline built and checked in the browser runs unchanged from its share link. Base64/hex/URL, JWT, hashes, JSON/YAML/CSV/XML, dates and regex; tools to search, describe and run utilities or whole pipelines, and to detect input formats. Runs locally

Enables AI models to access and search offline Wikipedia and other knowledge bases stored in ZIM format files. Provides intelligent content retrieval, structured browsing, advanced search capabilities, and metadata extraction for comprehensive offline knowledge access.

Read-only MCP server for Grafana Loki: lets AI agents (Claude Code, Cursor, Copilot) discover labels, read bounded LogQL pages, count lines by label or time, and export logs — across several Loki stands

Enables multi-level reasoning with configurable depth levels, session-based state management, structured thought input, and real-time trace resources.

Relays error logs from other MCP servers when an LLM call fails and the returned error message is unclear, helping the model handle errors more intelligently.