"Debugging software using GDB (GNU Debugger)" matching MCP connectors:
Matching Connector Tools:
Software entry prices for 16 categories, with ratings and true 3-year cost. CC BY 4.0
Verified pricing, hidden costs, negotiation data & TCO for 3,290+ software products.
Historical market memory for AI agents using semantic vector search across years of financial market data. Discover similar market regimes, price patterns, and market context for quantitative research and algorithmic trading.
Access comprehensive company data including financial records, ownership structures, and contact information. Search for businesses using domains, registration numbers, or LinkedIn profiles to streamline due diligence and lead generation. Retrieve historical financial performance and complex corporate group structures to support informed business analysis.
Commercial real estate intelligence for investors, brokers, and developers across 9 Northeast US states (CT, MA, NJ, NY, PA, RI, NH, VT, ME). ## What it does Every commercial listing is scored 1–10 using a 5-dimension framework: income yield, value-add potential, basis/location, exit/1031 suitability, and deal structure. Pull scored deals, comp-backed benchmarks, 1031 exchange candidates, and sell signals — all backed by 20,000+ active listings and 109,000+ closed sale comps. ## Tools - **sear
Screen 11,000+ stocks using natural language and detect chart patterns via MCP.
The Mercado Pago MCP Server implements the Model Context Protocol to provide AI agents and LLMs with access to Mercado Pago's APIs and tools within compatible development environments. It acts as an intermediary that translates Mercado Pago resources into executable functions (tools) that AI applications can invoke to perform actions and automate flows. The server simplifies integration, enables using documentation to implement or improve code, and optimizes operations through natural language interactions without manual implementations.
The Ramp MCP server enables users to securely connect Ramp with AI assistants like ChatGPT and Claude to query financial data and take actions using natural language. It transforms Ramp's developer API into a SQL interface that LLMs can query, allowing admins to analyze spend trends, identify cost savings, and run complex SQL analyses on comprehensive datasets (transactions, purchase orders, vendors, users), while all users can manage cards, view transactions, request reimbursements, and get expense policy answers.