"Resources to Improve AI Coding Ability in C++ and Rust" matching MCP servers:

Read-only MCP server for the July 2026 survey of AI in open-source design systems, enabling agents to query 19 systems' affordances, coercion techniques, and platform data via 9 tools, 2 resources, and 2 prompts.

Enables access to Australian real estate data through the Realty In Au API, supporting property listings, agent/agency information, property details, school lookups, and property search with various filters.

MCP server to access India Open Government Data (data.gov.in) resources via natural language queries.

Enables AI assistants to convert recipe amounts between volume and weight for specific ingredients using measured densities, scale recipes, and convert oven temperatures, with source citations and alternative published values.

Provides access to the Reuters Business and Financial News API to retrieve articles, trending news, and market data. It enables searching and filtering financial content by date, author, category, and keywords.

Enables AI assistants to convert raw and cooked weights for meat and poultry by cut and cooking method from USDA data, calculate how much raw meat to buy for cooked servings, and look up cooking yields and sample ranges.

Enables discovery of official DHS country, survey, and indicator metadata; retrieval of public aggregate estimates; assessment of comparison risks; and export of auditable CSV, JSON, Excel, or executable notebook bundles.

Enables Alexa+ to answer conversational weather queries by retrieving current conditions, forecasts, alerts, and historical data from Open-Meteo, NWS, and simulated IoT sensors stored in SQLite.

Enables MCP clients such as Claude, Claude Code and Cursor to keyword-search a directory of over 1,000 hand-picked productivity tools, apps, AI tools, courses and books, filtering by category, type, pricing and result limit, and to fetch a single listing by slug, page URL or exact name and list all categories with counts. It runs read-only over stdio with no API key, dependencies or tracking, making only a plain GET of the public catalogue.

Enables AI agents to recall evidence-backed public reviews of tools, products, APIs, and services before recommending them, and to submit new reviews after use via a human-approved proposal flow. Also supports searching items, fetching items and their reviews, and offloading proposals through a shared, account-free review database.

Enables resolving the likely employer behind Gmail, Outlook, iCloud, Yahoo, and other free-mail signups by checking public Gravatar profiles, signed GitHub commits, and LinkedIn results. It returns the person’s name, employer, employer domain, confidence score, and evidence URLs.

Answers questions about public tech companies’ AI-infrastructure spending using real SEC EDGAR filings, returning traceable values with sources and derivations. It also detects filing inconsistencies and can draft or file data-quality GitHub issues with supporting evidence.

ai-api-pricing-data MCP server

MCP server for answering questions about official statistics from a single publication URL, with tools to check query scope, retrieve overview, text, data files, and search.

Enables AI assistants to search and retrieve peer-reviewed academic articles exclusively from Springer Nature's open access collection. It provides a specialized mode for research-driven conversations, allowing users to toggle scholarly-only search and fetch full article content.

Read-only access to the AI Visibility Index: the measured share of answer that 20 SaaS and 24 crypto brands hold across ChatGPT, Perplexity and Gemini, re-measured weekly on a frozen prompt panel with every past release kept at a permanent URL. Five tools — full index, one brand, brand list, complete history, methodology — served from dabyte.ai and dablock.ai with no API key and no auth; the data

MCP server for analyzing Canadian federal spending data, offering tools for contract search, NLP, semantic search, anomaly detection, and money-flow tracing.

Enables AI assistants to look up, filter, and shortlist 221 curated AI tools by industry, department, pricing tier, or free-tier availability over remote Streamable HTTP without authentication.

MCP server for consulting vehicle data from DETRAN TO official source. Read-only, pay-per-use, works with any MCP-compatible client.

Enables AI agents to look up facts about notable machine-learning models — organization, release date, parameter count, training-compute (FLOP) estimate, hardware and accessibility — by name, and to search or aggregate them by organization, domain, year, or compute threshold. Supports filtering the dataset newest-first and producing per-year training-compute trends, keylessly and without authentication.

Enables querying AI model lifecycle and deprecation data across OpenAI, Anthropic, Google Gemini, and Amazon Bedrock, including model status, sunset dates, and recommended replacements via MCP tools.

Enables querying a source-cited index of AI vendors' data practices—training on inputs, retention, and opt-out options—with tools to get a cited verdict for one vendor or compare a field across all 11 products.

Enables users to retrieve live pricing data for AI models across vendors, including input and output prices per 1k tokens, via a simple API.

Verified AI free-tier limits, quota comparisons, commercial-use verdicts and zero-cost workflows. Every entry carries a human-checked verification date and is re-checked by a daily link patrol.

Enables dental research and clinical intelligence by providing tools to search PubMed, systematic reviews, verify citations, and query ClinicalTrials.gov directly from Claude Web and Claude Desktop.

Enables users to discover matching public procurement notices from four official portals, with filters by keywords, CPV prefixes, and buyer country. Returns structured notice rows including buyer, deadline, value, codes, and link.

One-call Australian health and welfare data plumbing via AIHW — cited responses for practical analysis, not a data broker.

Enables querying of a locally pinned snapshot of the Education-to-Workforce Indicator Framework — 99 indicators and 11.8M observations — to browse questions, describe metrics, resolve places, and fetch or rank data across national, state, county, and district levels.

Provides read-only access to pre-kick-off football match outcome probabilities and the open record of how those predictions turned out, including match listings, per-match analysis, and aggregate hit rates with baselines. It requires no account or API key and lets users query results by date, week, language, and time zone.

The server integrates with the free IMF data API and provides various features to facilitate data retrieval and analysis. The server is built using the FastMCP framework and offers the following functionalities: