"Trade-In Value Estimator for Canada" matching MCP servers:

MCP server giving AI agents structured access to Canadian federal, provincial, and municipal government data.

Provides access to Canadian federal election data, enabling queries about ridings, parties, vote shares, and close races for the 2021 and 2025 elections.

Enables users to run DCF/NAV/CCA valuations, Fama-French 5-Factor cost of equity, KMV credit risk, derivatives pricing, and Excel/PDF/Word report review with IVS 2025, IFRS 13, and HKFRS 9 compliance.

Estimates physical quantum resources (qubit count, runtime) for quantum algorithms on fault-tolerant hardware through natural language queries.

Gives AI agents structured, bilingual access to Canadian federal, provincial, and municipal open-data APIs, covering exchange rates, statistics, weather, recalls, drugs, immigration, parliamentary data, geospatial datasets, and local SQLite persistence. It also provides discovery and orchestration tools for searching, planning, and executing cross-API queries.

Canada Aida AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables trading automation through Zerodha Kite Connect API, allowing users to place buy/sell orders and fetch holdings via MCP tools accessible to Claude Desktop and other MCP-compatible clients.

Enables foreign trade sales workflows by orchestrating market scanning, product selection, customer profiling, credit checks, outreach drafting, and quotation calculations with source-traceable, three-category conclusions.

Enables querying of U.S. congressional stock trade data, including price history, recent trades, buy signals, stock activity, and politician activity, through natural language tools.

Enables AI assistants to create, backtest, and manage automated investment strategies (symphonies) on Composer, including searching through 1000+ existing strategies, monitoring portfolio performance, and executing trades with live market data.

Provides intelligent cryptocurrency trading assistance using Coinbase Advanced Trade API, with automated technical analysis screening and real-time market insights.

Provides real-time investment news, technical analysis via TA-Lib, and Binance trading capabilities including order management and market data retrieval. It enables AI assistants to perform financial market research and execute trades through the Model Context Protocol.

Call OpenAI Codex from Claude Code for independent second opinions, structured code review, and delegated coding tasks through a FastMCP plugin that drives the codex CLI safely.

Plan AWS disaster recovery budgets conversationally, comparing backup/restore, pilot light, warm standby, and active/active strategies using live Cost Explorer data.

Hyperliquid research MCP — typed strategy composition, deterministic backtests on real market data, opt-in live execution.

Enables users to describe their LLM fine-tuning job once and get the cheapest, fastest, and most balanced GPU options across a dozen cloud providers in seconds.

Enables academic research through paper search across multiple databases (IACR, CryptoBib, Crossref, Google Scholar), PDF processing, and GitHub repository browsing. Features modular architecture with FastMCP-based proxy server routing to specialized academic tools.

Enables quantitative risk analysis by calculating portfolio Value-at-Risk and Conditional VaR/Expected Shortfall across parametric and historical loss distributions, along with related option Greeks, Monte Carlo simulations, and fixed-income analytics through MCP.

Enables estimating LLM hallucination and confabulation by clustering sampled responses into semantic equivalence classes and computing semantic entropy. It provides a plug-and-play validation filter for agent pipelines using the MCP protocol.

Enables detecting LLM hallucinations and confabulations by clustering sampled responses into semantic equivalence classes and computing semantic entropy.

Enables desktop AI agents to manage email through MCP with a single account setup, OS keyring credentials, enforced read/draft/manage permissions, client onboarding helpers, and a credential-free demo.

Enables estimation of video surveillance, structured cabling, and low-current systems projects, providing tools for cost estimation, bill of materials, commercial proposals, and camera placement recommendations.

Enables AI agents to build and structurally validate Indian GST e-invoice JSON payloads (INV/CRN/DBN) and render IRP-returned signed QR strings as PNG images.

Enables users to describe an LLM fine-tuning workload and receive ranked, cost- and runtime-optimized GPU recommendations across multiple cloud providers by estimating VRAM and FLOPs.

Enables users to describe an LLM fine-tuning job once and receive the cheapest, fastest, or most balanced GPU hardware options across a dozen cloud providers by calculating required VRAM/FLOPs and aggregating live pricing.

Enables users to describe an LLM fine-tuning job and receive ranked, task-aware GPU recommendations with estimated VRAM/FLOPs, cost, and runtime across more than ten cloud providers.

Enables users to describe an LLM fine-tuning workload once and get task-aware VRAM/FLOPs estimates plus ranked cheapest, fastest, and balanced GPU recommendations across multiple cloud providers.

Enables users to describe an LLM fine-tuning job and receive the cheapest, fastest, or most balanced GPU options across multiple cloud providers by calculating required VRAM and FLOPs.

Enables users to describe an LLM fine-tuning job and receive ranked GPU recommendations across a dozen cloud providers based on estimated VRAM/FLOPs, live pricing, cost, and speed. It returns cheapest, fastest, and balanced hardware options without manual comparison.

Enables users to describe an LLM fine-tuning workload once and get ranked, cost- and speed-optimized GPU recommendations across multiple cloud providers by estimating VRAM/FLOPs requirements.

Enables users to describe an LLM fine-tuning job once and get ranked GPU hardware recommendations with estimated VRAM/FLOPs, cost, and runtime across a dozen cloud providers.

It enables users to describe an LLM fine-tuning workload once and receive ranked GPU recommendations for cheapest, fastest, or balanced options across many cloud providers by estimating VRAM/FLOPs and aggregating live pricing.

Enables users to describe an LLM fine-tuning job once and receive VRAM/FLOPs-aware recommendations for the cheapest, fastest, or most balanced GPU options across a dozen cloud providers.

Semantic product search and price-intelligence API over Singapore e-commerce data. Computes auditable value-scores from Shannon entropy across vendor price distributions, with pay-per-call pricing via x402 (USDC) alongside Stripe.

It enables users to describe an LLM fine-tuning workload once and receive task-aware VRAM/FLOPs estimates plus ranked cheapest, fastest, or balanced GPU recommendations across multiple cloud providers.

It enables users to describe an LLM fine-tuning workload once and automatically estimates required VRAM/FLOPs, compares live GPU pricing across cloud providers, and returns ranked cheapest, fastest, or balanced hardware recommendations.

Enables users to describe an LLM fine-tuning workload and receive ranked, task-aware GPU recommendations by estimating required VRAM/FLOPs and comparing live pricing across a dozen cloud providers.

Enables users to describe an LLM fine-tuning job once and receive ranked GPU recommendations across many cloud providers based on estimated VRAM/FLOPs, cost, and runtime.

Enables users to describe a fine-tuning workload and receive ranked GPU cloud recommendations based on required VRAM/FLOPs, cost, and runtime across multiple providers.

MCP server that provides access to UK trade data from the ONS Trade Data API, enabling queries for trade statistics, metadata, and raw data.