"Understanding Inference Models" matching MCP servers:

Enables scraping and comparing pricing information for LLM inference services across multiple providers (CloudRift, DeepInfra, Fireworks, Groq) using Firecrawl API and SQLite storage.

55 Concordance-tested financial models with published specs; responses cite assumptions and sources.

Provides A-share causal analysis capabilities including event studies, counterfactual validation, causal graph learning, and econometric inference through MCP, enabling clients to run complete causal inference workflows.

Enables AI assistants to access live mining data for 126+ proof-of-work networks and 770+ hardware models, including network difficulty, hashrate, solo-mining odds, cost of production, hardware profitability, and mining news.

An MCP server for the ProveTrade trade-audit stack that lets models validate CSVs, run paid audit runs, and check service health/deploy status via typed tools.

Enables AI agents to retrieve live GPU rental prices, compare models, and access market summaries and historical price data through four read-only MCP tools.

Enables LLMs to look up, validate, and search Indian bank branch data by IFSC — returning real branch addresses, MICR codes, and settlement-rail support, plus mapping bank names to their 4-letter codes, so models query a tool instead of hallucinating payment details.

Wraps Taiwan Stock Exchange OpenAPI into MCP tools for searching datasets, fetching stock data, and obtaining ETF snapshots, enabling AI models to access TWSE market information.

Renders OHLCV data as candlestick chart PNGs and returns inline images. It is a pure renderer with no network access, allowing models to view charts generated from provided data.

Enables language models to interact with a deterministic limit order book exchange through MCP tools, including submitting, canceling, and modifying orders, reading books and trades, and managing scenarios and snapshots for experimentation.

Global price benchmarking for AI inference across 2,600+ SKUs from 47 vendors. Query live pricing, market indexes, and model specs via 8 tools. Free tier available.

An MCP (Model Context Protocol) server that provides real-time LLM token pricing data for 60+ AI models across 15 providers.

Enables reading SEC EDGAR filings efficiently, including extracting individual 10-K sections, retrieving XBRL financial facts, and searching filings, so models can access specific information without processing entire documents.

Open-source MCP server exposing the Agent402.Tools catalog: 500+ pay-per-call tools for AI agents, including browser rendering, web search, PDFs, OCR, LLM inference, code execution, live financial/crypto/macro data, SEC EDGAR, and wallet-keyed memory. Free via proof-of-work, or pay per call in USDC across ten chains via the x402 protocol. No API keys, no signups

A Model Context Protocol server that gives an LLM read-only access to Binance spot market data, allowing models to reason about real prices without the ability to place orders.

Enables AI models to query Swiss National Bank data including exchange rates, balance sheet, interest rates, SARON, monetary aggregates, banking statistics, and balance of payments via the SNB public API.

MCP server for querying Chilean electronic invoicing data via the IntegraDTE API. Enables language models to retrieve tax documents, folios, statistics, and more.

Enables AI clients to produce probabilistic forecasts with prediction intervals for numeric time series such as sales, demand, traffic, and sensor readings, using a panel of zero-shot foundation models or an accuracy-weighted ensemble. Supports up to 64 series per call, optional covariates, horizons up to 512 steps, and usage or credit checks, all without training or feature engineering.

Connects AI agents to StockUp Quan's financial reasoning models with real-time stock data from Yahoo Finance, enabling grounded financial analysis and queries.

Enables MCP clients to query live OpenRouter LLM pricing and monthly price history back to 2023 without API keys. It supports finding the cheapest model for a job, estimating workload costs, tracking price changes, and comparing providers.