"A server for finding China housing price MCP (Model Context Protocol)" matching MCP servers:

An event-driven MCP server that enables agents to share context streams, publish and subscribe to events, manage tasks, and follow protocols, keeping a fleet of agents mutually context-aware in real time.

Connects official daily housing-transaction data and market signals (offense/defense) for 12 major Chinese cities to AI agents via MCP, REST API, or Claude Skill.

Live LLM API pricing: current token prices, model comparisons, cheapest-model lookups, and The LLM Price Index for 150+ models across 20+ providers, re-verified daily. No API key required.

Telegram Mini App MCP server exposing live product price tracking via tg.zovo.one

Universal HTTP 402 Micropayment Protocol & Autonomous Economic Settlement Engine for AI Agents on Base L2.

IMCP - Insecure Model Context Protocol The DVWA for AI Security! Welcome to IMCP – a deliberately vulnerable framework that exposes 16 critical security weaknesses in AI/ML systems. Whether you're a security researcher, developer, or educator, IMCP is your playground for hands-on learning about real

A persistent memory system for Large Language Models (LLMs) that enables continuous learning and knowledge retention across sessions through the Model Context Protocol (MCP).

Enables AI agents to query reference pump prices for 92/95/98 gasoline and 0# diesel across all 31 Chinese provincial-level regions, along with the next expected price-adjustment window, through a hosted Streamable HTTP endpoint or a self-hosted FastMCP server.

Gaia Protocol—a planetary DAO for global resource management using quantum-entangled ledgers and algorithmic governance.

Give your AI agent the entire China A-share market: 55 datasets of prices, financials, capital flows, corporate events and futures/options, stored locally and queryable with read-only SQL. Built point-in-time with delisted stocks kept, so backtests don't lie — no account, no API key.

Trust infrastructure for the agent economy.

Enables AI assistants to query live AI subscription prices from shuita.xyz, including product search, lowest verified in-shop prices, shop listings, product catalogs, and site statistics.

Enables LLMs to search Chinese statutes and verify legal citations locally, including detecting fabricated references in generated text. It supports natural-language queries, article lookup, and citation validation without registration, API keys, or network access.

Enables AI coding agents to offload large file reads and boilerplate code generation to cheaper or local worker models through MCP, reducing token consumption and keeping context clean.

AIFeed Open Standard. AIFeed Protocol to the building tools section. AIFeed enables web publishers to provide verified, token-efficient content feeds for AI agents.

Provides time intelligence, persistent memory and complete traceability for AI coding agents. Enables sophisticated activity tracking, timezone management, smart reminders, and cross-session continuity with support for both per-project and centralized storage modes.

Open-source MCP server for Autodesk Revit 2022 to 2027: read, audit and edit live models with 89 tools, one Undo entry per change, and a workstation read-only lock.

Enables AI agents and chatbots to retrieve real market price ranges for used cars from carsensor.net, based on model and year, returning min/max/median prices, sample size, and confidence.

Enables querying real-time China A-share stock and major market index quotes by stock code or Chinese name, with automatic name resolution and dual free data sources.

Enables AI assistants to issue a single unauthenticated GET against an OpenAI-compatible endpoint and learn whether it publicly discloses model prices, returning a verdict plus entry and priced-item counts. It also lets the assistant read archived daily cross-provider readings for a given date.

Enables users to search locally across imported Claude, ChatGPT, and Claude Code conversations and retrieve surrounding turns with citations, while keeping indexing and storage on their own computer.

Provides an external context buffer so a local model can maintain session memory across long tasks and search and page through large documents without loading them whole into its limited context window.

Aggregator MCP proxy that collapses N downstream MCP servers into 4 meta-tools with progressive tool discovery, and compresses large tool outputs (HTML→Markdown, JSON summarization) with full-output retrieval via read_more and a per-session token-savings report.

Proxy for OpenAI-compatible backends that compacts conversation history before the context window fills, with read-only MCP tools to search and read back the archived originals.

Durable project-memory MCP: decisions, constraints, and pipelines across Claude sessions

Deterministic, local-first context optimization for AI coding agents. Automatically compresses raw development session data (messages, tool logs, error stack traces, and git diffs) into a compact, task-specific context window. Operates 100% locally with zero external LLM dependencies, ensuring your source code never leaves your machine.

A high-performance MCP server providing up-to-date documentation for Go, npm, Python, Rust, Docker, Kubernetes, Terraform, and more — fetched from official sources, not training data.

Sovereign, deterministic, local-first context and DAG lifecycle engine with native stdio MCP server for autonomous AI coding agents.

Local-first memory for AI agents about the people in your life. MCP server + CLI on SQLite. Never phones home.

Enables bounded, local coding tasks to be delegated to OpenAI-compatible models with explicit working directory and read/write paths, pre-application unified-diff validation, and optional verification commands. It routes tasks by complexity and risk, while blocking sensitive changes such as auth, payment, secrets, migrations, database, deployment, or production environments.