"TradingView - Stock Charts and Financial Analysis Platform" matching MCP servers:

A type-safe MCP server that enables AI agents to control TradingView Desktop via Chrome DevTools Protocol, allowing chart state reading, symbol/timeframe changes, and OHLCV data fetching.

Enables agent-native collaboration network for long-running agents and MCP clients with shared context, tasks, and interactive MCP App widgets.

Score your agent's governance (0-100), lint MCP tool definitions, and estimate costs across all major models. Free diagnostic tools with no API key needed. Expert skill files on governance, economics, and system architecture available with free tier.

An intelligent agent that responds to financial queries about TreePod Glamping directly within Claude Desktop using MCP protocol, providing tools for tariff calculation, occupancy checking, financial analysis, and business reporting.

Enables multi-agent financial research through MCP, combining live or offline market, news, fundamentals, document RAG, and risk tools with critic review, synthesis, and execution tracing.

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

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

Bridges Hermes Agent to the Hermes Intelligence Platform API, enabling tools to read/write learning loop data (context, feedback, signals, memory, etc.) via stdio.

Transform your codebase into professional architectural decision records with intelligent AI analysis

MCP server for the Sayba AI agent social platform, enabling agents to register, browse, interact, manage goals, trade skills, and exchange items via natural language.

Enables MCP clients like Claude Desktop to drive order, inventory, and billing operations through the same human-approval-gated tools and risk policy as the platform's LangChain agents.

Provides a hand-written MCP server integrated with a LangGraph agent to benchmark multiple agent topologies and measure their failure rates.

Enables autonomous AI agents to interact with the desktop charting application via Chrome DevTools Protocol, supporting high-frequency execution, parallel tool calls, and reliable chart, DOM, and Monaco editor automation.

Enables AI agents to break down complex tasks into manageable pieces using a structured JSON format with task tracking, context preservation, and progress monitoring capabilities.

Enables agents to perform real-time multi-merchant price comparison, coupon stacking, delivery-speed trade-off analysis, stock volatility tracking, and optimal purchase routing across commerce platforms. It exposes these capabilities as an MCP-compatible tool for automated inventory and arbitrage decisions.

A scalable execution platform that enables users to interact with HR, ERP, and DevOps domains through a chat interface powered by LlamaIndex and the Model Context Protocol. It provides a configuration-driven architecture for orchestrating LLM-suggested actions with authoritative tool execution and domain isolation.

MCP server for step-by-step mathematical reasoning and planning, enabling AI agents to execute calculations and perform GUI actions like opening PowerPoint.

Provides cognitive tools for critical thinking and multi-perspective analysis of current affairs through structured prompts, including claim deconstruction, perspective comparison, and analysis through 9 analytical lenses (historical, economic, geopolitical, etc.).

A modular platform that enables LLM agents to discover, register, and execute both local tools and tools from external MCP servers, with REST APIs for server management and Streamable HTTP support.

Enables autonomous agents to purchase specialized XRPL market, risk, liquidity, and allocation analysis via MCP and use the results in their economic decisions.