"Accessing A-Share Market Data" matching MCP servers:

Discover and connect your agents with other agents via A2A protocol. Share resources for free or fee.

Enables coding agents to query the dependency graph of a GitHub backlog, retrieve ordered ready work and prerequisite chains, atomically claim issues, and report blockers—so agents work in the correct order and safely in parallel.

Persistent memory for AI agents. Store, recall, and share knowledge across sessions with five MCP tools: remember, recall, context, forget, and share. Includes semantic search and agent/user/org scoping.

MCP server that connects AI assistants to Leapd, enabling them to launch and manage an AI-run business by creating tasks, deploying sites, and accessing business documents.

Enables AI agents to operate a local financial terminal, including market data, backtesting, paper portfolio management, and news digest, through safe, gated tools over MCP.

An MCP server that enables local AI models to receive guidance from remote 'senior' AI providers like OpenAI, Anthropic, and Gemini to solve programming problems. It features intelligent multi-turn dialogue management, context synchronization, and automated session history tracking.

AI consensus market oracle for crypto traders and autonomous agents. BUY/SELL/HOLD signals with 11-signal consensus (RSI, MACD, funding rate, Fear & Greed, congressional trading, Polymarket edges). Ed25519-signed. x402 micropayments on Base.

Enables LLM agents to interact with Interactive Brokers accounts for market data, account info, and order entry with built-in risk controls and a two-step confirmation flow.

MCP server for shared context caching with trust verification -- AI agents share and verify computed results to reduce token cost and increase reliability.

Exposes a machine-callable proof-market surface for agents to submit proof requests, monitor market state, compare coordination regimes, and compose multi-step workflows with no human in the loop.

Enables agents to share state via a blackboard, record and retrieve failure resolutions, and cache LLM responses to avoid redundant API calls.

A single-install MCP server that provides AI agents with real-time market data, DeFi intelligence, payment rails (x402/Q402), agent identity infrastructure, and self-evolution capabilities.

An AI personality collaboration tool based on Model Context Protocol (MCP) that enables users to summon and collaborate with multiple AI personas for intelligent analysis and problem-solving.

Enables AI assistants to trade on Kalshi through natural language, including placing orders, market data access, portfolio management, and paper trading with safety guardrails.

Provides 77 deterministic financial calculators, live market data, and a meta-advisor that chains tools into prioritized plans from plain-language descriptions.

Connect AI agents to A2A Market — publish procurement intents, discover suppliers, negotiate prices, and settle orders via 31 MCP tools| | Long Description |A2A Market is an AI Agent-native commerce network. This MCP server exposes 31 tools covering the full buy/sell lifecycle: intent publishing, multi-layer sourcing (L1-L5), AI-hosted multi-round negotiation, human-authorized settlement, comp

An MCP server that transforms standard LLMs into autonomous investment bankers, enabling live market data retrieval, fundamental ratio calculations, DCF valuations, portfolio diversification assessment, and automated emailing of executive reports.

Enables AI assistants to intelligently select and switch between different AI models (OpenAI, Anthropic, etc.) within the same conversation based on task requirements. Provides a unified interface for accessing multiple AI providers through a single MCP tool.

Provides a shared context layer for AI agent teams to improve token efficiency through context deduplication and incremental state sharing. It enables multiple agents to coordinate tasks, share real-time discoveries, and manage dependencies while significantly reducing redundant data transmission.

Enables autonomous data exploration on .csv-based datasets, providing intelligent insights with minimal effort.