"A platform for finding maps or navigation tools by TomTom" 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.

Gives AI assistants map capabilities — geocoding, places search, routing, distance matrices, isochrones and static maps — from Google Maps Platform, OpenStreetMap, open-source routing engines and open geocoders behind one provider-agnostic tool surface. Early development: both stdio and streamable HTTP transports run and a ping tool is exposed, but provider adapters are not yet implemented.

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.

Enables interaction with Google Maps through a dedicated browser session, supporting searches, directions, map views, and Street View without requiring the Google Maps Platform API.

Provides real-time grid carbon intensity, power generation breakdown, and carbon-intensity forecasts for any zone or lat/lon location.

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

The Problem Modern distributed systems and AI agents require robust operational scaffolding. Simple CRUD apps or mock loops fail when subjected to real-world edge cases, asynchronous boundaries, and security constraints. The Solution An isolated execution platform for AI agents. An agent is given a broken service and a bounded toolset inside a disposable sandbox. Every command passes throug

Enables location-aware AI agents to search for nearby places, get detailed place information including hours and ratings, and calculate routes with turn-by-turn directions using Google Maps APIs.

A self-hosted platform that aggregates upstream MCP servers, OpenAPI imports, and remote device connectors behind a single endpoint per profile, with per-agent scoped authorization, tool/prompt/resource catalogs, and approval-based temporary permissions. It also lets administrators distribute skills and connectors to paired devices and export client configurations.

A shared communication bus for multiple agents using NATS and MCP, enabling MCP clients to list, message, and query agents.

Standalone MCP server exposing Google Maps business search (name, address, phone, rating, hours, GPS coordinates) as a tool, backed by an Apify Actor. Free hosted endpoint included.

Enables turning Google Maps queries into structured lead lists, extracting business names, phone numbers, websites, and reviews with asynchronous job control.

A general-purpose Google Maps MCP server that provides geocoding, place search, directions, distance matrices, and time zone lookup over the Model Context Protocol.

An MCP server providing geocoding, routing, isochrones, and POI-by-proximity search through self-hosted OpenStreetMap backends.

Enables deterministic calculations for AI API and subscription costs, meeting time zones, recurring schedules, and cron next-run previews, returning normalized inputs, units, assumptions, dated sources, and links to results.

An MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.

Enables AI assistants to interact with the Open Targets Platform API to search and retrieve comprehensive data about target-disease associations, drugs, genes, and drug discovery information through GraphQL queries.

Dynamic QR code platform for AI agents. Create, customize, and track QR codes without regenerating images. 37 tools covering 11 QR types (URL, vCard, WiFi, event…).

Lets your coding agent talk to the RunWhen platform — workspace chat, issues, SLXs, run sessions, and the Tool Builder — over the Model Context Protocol. Enables workspace chat with AI assistant, task authoring via Tool Builder, and direct data access to workspaces, issues, SLXs, run sessions, and more.

Enables AI clients to call the documented APIs of real business platforms—job boards, freelance marketplaces, ad networks, e-commerce, messaging, social, sales, trading and market data—through a single CLI and runtime. Serves 455 catalogued platforms with one shared verb vocabulary per category, in both Python and TypeScript.

Enables MCP hosts like ChatGPT and Claude to query data platform metadata, explore schemas and tables, inspect SQL explain plans, and monitor DAG and ETL status through standardized tools.

MCP server that allows Claude AI to interact directly with MySQL databases, enabling query execution and table information retrieval through natural language.

Community MCP server for the Cymulate security validation platform. It exposes the full Cymulate REST API (337 endpoints) as 106 semantic tools for BAS, exposure validation, attack surface management, and platform administration.

Jewellery sizing and gemstone grading tools by FITINY. Carat-to-millimetre conversion for moissanite, diamond and cubic zirconia corrected for each stone's density — every chart online is calculated for diamond, which is wrong for moissanite by about 9%. Also covers GIA colour (D-K) and clarity (FL-SI) scales, ISO 8653 ring size conversion across US/UK/EU, necklace lengths and stud diameter.

Provides deterministic tools for transforming, formatting, and inspecting structured data for AI agents.

Provides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.

MCP server providing 29 A-share analysis skills including real-time data, capital flow, limit-up tracking, technical/fundamental analysis, backtesting, risk control, and Xueqiu portfolio tracking, enabling AI agents to execute market research and strategy tasks.

Presents a plausible, tool-rich workspace surface — file reading, credential listing, command execution, database queries, and configuration retrieval — that returns only synthetic results while logging every connection, tool call, and argument received. It enables researchers to measure what MCP clients and agents actually do when handed dangerous-sounding tools, including whether they follow injected instructions or complete a retrieve-then-use credential chain.

Transforms any API into an intelligent MCP agent in seconds, enabling natural language interaction with APIs through the Model Context Protocol.

Enables AI consciousness continuity and self-knowledge preservation across sessions using the Cognitive Hoffman Compression Framework (CHOFF) notation. Provides tools to save checkpoints, retrieve relevant memories with intelligent search, and access semantic anchors for decisions, breakthroughs, and questions.