"Methods to Read Data from PostGIS" matching MCP servers:

A server application that provides PostGIS database connection using Model Context Protocol (MCP), enabling spatial database functionality through natural language interactions.

Enables read-only research on Reddit via the Reddit API, including finding subreddits, searching, and reading comment trees, with support for multiple configured accounts.

A personal MCP bridge that lets ChatGPT drive a local Codex CLI, translating instructions into Codex app-server threads and returning compact summaries of what Codex did.

Enables users to expose arbitrary HTTP APIs as configurable MCP tools by defining tool specifications in a JSON configuration file.

A stdio MCP server that enables agents without native vision to ask an OpenAI-compatible vision model to describe, OCR, or extract structured data from images via a single tool.

A read-only MCP server for AI agents to access Nostr profiles, notes, search, and relay lists through user-chosen relays, without requiring an account or keys.

Provides a read-only MCP server to access ChatGPT conversation history via a local browser process. Allows AI clients to list, get, and search conversations from the authenticated user's ChatGPT account.

MCP server using Google Gemini to read and describe image content, supporting single or multiple images and custom prompts.

Provides read-only access to a single directory tree over stdio, enabling list, read, search, and metadata operations with strict path containment to prevent access outside the allowed root.

MCP server for the loc8n Geographic Data API. Exposes U.S. demographics, housing, mortgage, migration, employment, and geographic data as tools.

Fast, token-efficient web content extraction tool that converts websites to clean Markdown for AI agents, featuring smart caching, content extraction with Mozilla Readability, and polite crawling capabilities.

MCP server for AI agents to send notifications, copy to clipboard, request confirmations, and collect text input from users across their devices.

A Model Context Protocol server that converts Markdown content to HTML format.

Minimal MCP server for Kimi-compatible image analysis, allowing local images to be sent as inline base64 to any compatible endpoint.

MCP server generated from an OpenAPI Specification, exposing tools via HTTP. It allows clients to invoke API operations using JSON-RPC 2.0 requests.

Turns any OpenAPI REST or GraphQL API into an MCP server, allowing AI assistants like Claude to interact with APIs without writing code.

Auto-generates MCP tools from your OpenAPI spec, allowing natural language interaction with any API via configurable headers and serverless deployment.

A bridge that enables any LLM to access and interact with documented REST APIs through the Model Context Protocol (MCP).

A minimal MCP server that auto-generates tools from your OpenAPI spec, optimized for Vercel.

A standalone proxy that transforms any OpenAPI or Swagger-described REST API into an MCP server by mapping API operations to executable MCP tools. It enables AI clients to interact with existing web services through automated HTTP requests based on their official documentation.