"A service or tool for viewing maps and street layouts" matching MCP servers:

MCP server exposing Google Maps Platform to MCP clients with seven tools for geocoding, place search/details, traffic-aware travel times, and time zones. Runs as a local stdio server or a containerized HTTP service with bearer auth, needing only a single API key.

Enables AI assistants to access Google Maps services including places search, details, directions, geocoding, and nearby search through natural language.

Thirteen read-only Google Maps Platform tools for an agent: where a place is, what is around it, how long it takes to get there, and what the conditions are when it arrives.

Provides comprehensive access to Google Maps Platform APIs through MCP, enabling geocoding, places search, routing, and geospatial operations.

Enables LLMs to read and write local user data, generate fake users via sampling, and interact with structured prompts and resources.

Enables fetching comprehensive Google Maps place data, including full metadata and all gallery photos/videos at maximum resolution.

An MCP server that provides utility tools for text analysis, URL metadata fetching, and temperature conversion.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

An MCP proxy that embeds tool definitions and returns only the top-k semantically relevant tools per query, reducing context usage and routing calls to upstream MCP servers.

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.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

Graph-based tool retrieval for LLM agents. Builds a tool graph from OpenAPI/MCP specs and retrieves multi-step workflows via hybrid search (BM25 + graph traversal + embedding), recovering accuracy from 12% to 82% with 79% fewer tokens. Also works as an MCP Proxy to aggregate multiple servers behind 3 meta-tools.

Connects AI assistants to Jira Service Management instances, providing 40 tools for managing service desks, requests, comments, customers, organizations, queues, SLA, approvals, and attachments.

Provides an MCP interface to the ROBOT command-line tool for OWL ontology editing, enabling operations like merging, reasoning, and conversion via natural language.

Provides a local MCP server for AI-powered web crawling on Windows, enabling agents to directly crawl and extract web content without requiring WSL.

SSH automation MCP server that enables Claude and ChatGPT to execute commands, manage files, install packages, and control services on remote servers over SSH — supporting password, key, and agent authentication.

Enables AI agents to recognize and extract text from images using PaddleOCR, supporting both file paths and base64 input with structured results including confidence scores and text positions.

A Model Context Protocol (MCP) SSH client server that provides autonomous SSH operations for GitHub Copilot and VS Code. Enable natural language SSH automation without manual prompts or GUI interactions.

Exposes data query and auto-insights (anomaly detection) as MCP tools. Enables AI agents to query metrics, list columns, and get data insights directly from pandas.

A minimal MCP server using FastMCP to demonstrate tool creation, including a get_weather example.