An advanced MCP server that implements sophisticated sequential thinking using a coordinated team of specialized AI agents (Planner, Researcher, Analyzer, Critic, Synthesizer) to deeply analyze problems and provide high-quality, structured reasoning.
Enables AI assistants to access Google Maps services including places search, details, directions, geocoding, and nearby search through natural language.
Exposes five tools for querying and analyzing a customer-support dataset, including listing categories/intents, filtering, counting, and summarizing records.
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 read-only access to SaaS_A's management REST API, allowing users to inspect tenants, users, groups, devices, formats, and export observation data as CSV from MCP clients. It uses only GET requests, so no write operations are possible.
Enables live product search, price, stock, and spec queries across Flipkart and Amazon.in, with tools for comparing products and checking delivery availability.
Enables screening of article titles and abstracts against a research question or clinical query using TypeSafe Jev, returning include/maybe/exclude decisions with calibrated probabilities from PubMed searches, PMIDs, or custom records.
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.
Deterministic A-share morning brief service exposing MCP tools to generate full market briefs, filtered news events, previous close context, and news coverage without external LLM keys.
An MCP server that provides AI agents with geospatial analytics by querying Overture Maps data directly from S3, enabling place analytics, building composition, land use classification, and transportation analysis.
A lightweight, focused Model Context Protocol (MCP) server exposing SHAP model explainability as agent-callable tools with dual stdio/HTTP transports and a built-in Web GUI.
Enables AI assistants to search places, retrieve place details, reviews, photos, business posts, and contributor review histories from Google Maps through natural language, with no API keys or paid billing required.
MCP server enabling AI assistants to perform full CRUD operations on Asset Administration Shells, Submodels, and Submodel Elements via the Eclipse BaSyx REST API.