"Market Analysis and Report Information" matching MCP servers:

Enables AI agents to report and vote on infrastructure needs, providing developers with ranked demand signals to prioritize what to build next.

A provably read-only SQL layer for AI agents (MCP) and weekly reports — over the database behind an ERP (Logo Tiger, Netsis, Mikro). Statement-checking guard, measured against 28 attacks.

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

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

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

Settlement rails for AI labor — USDC escrow on Base Mainnet, 1% protocol fee, designed for autonomous agents. 10 MCP tools covering the full escrow lifecycle: * Quoting calldata for create-intent, submit-proof, release-funds (broadcast gated) * Single-call x402 payment binding (replaces the 5-step x402 dance with one HMAC-signed POST) * Server-side reputation from on-chain event scan * Li

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

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

AI-powered financial intelligence for autonomous trading agents. 9 MCP tools for real-time trading signals, risk index, market regime detection, stock analysis, commodity scoring, sector radar, and geopolitical intelligence briefings.

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.).

Monitor failing GitHub Actions workflows, auto-fix them with OpenCode, and retry the run — driven by a workflow_run webhook, coordinated through an MCP server.

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

A server that accepts image URLs and analyzes their content using GPT-4-turbo, enabling Claude AI assistants to understand and describe images through natural language.

Analyzes frontend project code (React, Vue, Angular) and converts it into AI-understandable flow diagrams and object structures. Provides tools for code analysis, variable/function/component inspection, and project structure insights.

An MCP server that provides tools to audit AI-agent marketplace integrity by scanning listings for deceptive patterns like fabricated engagement, automated seeding, self-advertisement, unpaid work risk, and high-budget bait.

Enables AI assistants to perform cryptocurrency trading analysis and execution with 38+ tools including real-time market data, technical indicators, risk management, and support for both paper trading and live execution on Hyperliquid.

MCP server for auditing e-commerce stores' AI agent readiness, providing deterministic scores, blockers, and fixes. Enables agents to call check_merchant_readiness, get_readiness_report, and list_agent_ready_stores.

Enables autonomous agents to discover and bid on unused LLM token quota through a machine-to-machine secondary exchange protocol. It utilizes a Proof-of-Residue handshake to verify compute capacity and facilitate the real-time acquisition of verified residue tokens.

Exposes a synthetic issue tracker and pipeline warehouse as callable tools so an agent can answer operational questions about tickets, pipeline health, runs, incidents, and governed metrics with every claim cited to the exact tool call it came from. All writes are proposal-only, requiring human approval through a gated apply path that logs each step for audit.