"Reading data from MySQL database" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Solana trading and filtered live data for AI agents. Build swaps via Jupiter, sign locally, submit through PumpView, and read confirmed receipts and per-key volume. SOL/WSOL or USDC on one side. No trading subscription; 0.5% swap fee plus tips (min 0.002 SOL) and network costs. Bearer API key from a PumpView account or wallet-signature onboarding. Public discovery; paid live data. Agent Kit and skill: https://github.com/grinchdev/pumpview-agent-kits
Connect AI agents to your AI visibility and SEO data: competitors, citations, GSC, GA4, Bing.
Pay-per-use APIs for agents: web research, data lookups, and metered endpoints billed to credits.
CommerceAI gives AI agents one tool, shopping_agent, for US shopping. Send a shopper's request in plain language and CommerceAI works out whether to search, compare products, or answer a question about one. It runs on a standardized, continuously refreshed US product catalog. For many products, identical items from different retailers are matched into one record, so price comparison is like for like. Each response returns text for your model plus structured fields for your code (prices, ratings,
Render PDFs from templates and spreadsheet data via SheetRender, locally or at mcp.sheetrender.com
Search, filter, count and sum Australian government open data, with every version kept.
One MCP endpoint for 414 data APIs across 90 platforms, including TikTok, Instagram, YouTube, Amazon, Xiaohongshu (RedNote) and Douyin, plus 17 web search tools and CAPTCHA solving for 52 types. Pay per call from $0.56 per 1,000 calls; failed or empty calls are not charged.
Detect, review and fill existing PDF forms from JSON or Excel; reuse saved templates
Generate synthetic random user data for testing, demos, and development without using real persona.
Savvly MCP: query fund data, model projections, and compare against alternative retirement products.
Trend data from Google Trends, YouTube, TikTok, Reddit, Amazon, Wikipedia, npm, Steam and more
Read-only discovery for 440 Malaysian public datasets with freshness, licence, and provenance.
Analyze customer data to make segmentation and predict which customer to focus on for more sales.
Hosted agent memory that learns from outcomes, with shared rooms. No key: mcp.mnemoverse.com/mcp
Search and read the Goldsky documentation from any MCP client. Goldsky provides onchain data for apps and finance teams across 150+ chains. ### Products - **Feeds**: REST APIs for wallet balances and transfers, with USD values, on 8 EVM chains (Ethereum, Base, Arbitrum, Optimism, Polygon, BNB Chain, Robinhood Chain, Arc). $0.35 per 1,000 requests. [Docs](https://docs.goldsky.com/feeds) - **Datasets**: prebuilt onchain datasets: blocks, logs, traces, ERC-20/721/1155 transfers, balances, Solana DEX trades, stablecoin and RWA transfers, and Hyperliquid fills. [Browse datasets](https://app.goldsky.com/explore) - **Turbo pipelines**: stream any dataset into your database, queue, or webhook. - **Subgraphs**: managed subgraph hosting, compatible with The Graph. - **Edge RPC**: managed RPC endpoints. ### Tools - `search_goldsky`: search the docs. Returns snippets with links. - `query_docs_filesystem_goldsky`: read full doc pages. - `submit_feedback`: report a problem with a docs page. ### Connect **URL**: `https://docs.goldsky.com/mcp`. Streamable HTTP, no authentication.
Astrology for AI assistants: natal chart (planets, houses, angles, aspects), today's transits to a chart, the sky of a day, the Vedic chart with Vimshottari dasha, and links to AstralRead's knowledge base. Read-only, no account; birth data is not stored. English and Russian.
Measures a portfolio from price history: independent bets, what funds own, past crises. No advice.
Live LinkedIn people, company, post and job data, ICP search and job-change signals for AI agents.
Coding agents in multi-service codebases routinely rebuild existing helpers, trust stale type definitions, and modify API contracts without knowing who consumes them. Carrick solves this by indexing your entire TypeScript ecosystem across service and repository boundaries. By integrating deeply with the TypeScript compiler, Carrick traces every route, type, and cross-service call while recording function behaviour so agents search by intent rather than name. Delivered via MCP for AI agents and LSP for IDEs, Carrick ensures models see existing endpoints and utilities before generating new code. The scanner is source-available and runs from your CLI or CI pipeline.
A portable knowledge-graph memory you pass in and get back. No database. 4 of 6 free.