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TradeStation v3 API for Python: a typed client library, a CLI (ts), and an MCP server (ts-mcp) for market data, brokerage, and order execution across stocks, options, futures, and crypto.

OptionWhales for Claude: options flow, gamma (GEX) levels, implied volatility, earnings and stock data — MCP connector + skill

MCP server for backtesting NIFTY and SENSEX options strategies on real 1-minute data, from ChatGPT, Claude or any MCP client

MCP server for Indian market data: NSE quotes, indices, option-chain analytics, company financials, shareholding, corporate actions and mutual funds. No API keys.

MCP Server for GetOutpost.in - Access real-time Indian options market data and volatility analytics. Analyze IV, RV, VRP, and skew with automated token management and percentile-based filtering tools.

Alpaca’s official MCP Server lets you trade stocks, ETFs, crypto, and options, run data analysis, and build strategies in plain English directly from your favorite LLM tools and IDEs

FinzData MCP server: point-in-time market data for AI agents. US stocks incl. delisted, ETFs, ticks, futures, options gamma (GEX), crypto, FX, indexes, COT, 13F, fundamentals, 22,700+ macro series and backtests.

MCP server providing access to Brazilian public data (CNPJ, CEP, banks, holidays, DDD, ISBN, economic rates, exchange rates, CVM brokers, IBGE states/municipalities, .br domains) via BrasilAPI. Optional premium CPF and state tax ID lookups. Ships with MCP

Free keyless US-market financial data MCP server — indices, quotes, OHLCV, options, SEC filings & XBRL. Streamable HTTP at mcp.luckyman.app

Drop-in PII detection & redaction for Python. Regex + heuristics + optional ML model. Use as a library, local REST API, or MCP server for Claude — offline by default, nothing logged, UK-aware (NI numbers, postcodes, phones). Data sanitisation.

Encode or decode Base64 for text and local files. URL-safe and data-URI options. Local CLI and MCP server.

Self-hosted, open-source financial data MCP server for AI agents — SEC filings, XBRL financials, 13F holdings, insider & congressional trades, short interest, FRED, CFTC/CBOE and daily prices across 64 MCP tools. Equibles Cloud adds earnings call transcripts, live quotes, options chains with Greeks, guidance and a screener.

This is a Model Context Protocol (MCP) server that provides comprehensive financial data from Yahoo Finance. It allows you to retrieve detailed information about stocks, including historical prices, company information, financial statements, options data, and market news.

Read-only Eurex Reference Data MCP server (Rust, stdio) — options chains, products, expirations from the Deutsche Börse GraphQL API

Live market data for your AI: MCP server for quotes, history, options chains, news via yfinance

MCP server for Ransomware.live — track ransomware groups, victims, and IoCs, with optional Pro-tier data.

Remote MCP server for AI agents: point-in-time market data, no look-ahead. 16,000+ US stocks incl. delisted, 5,100+ ETFs, ticks, 139 futures markets, options gamma (GEX) and chains, crypto, FX, indexes, COT, 13F, SEC fundamentals, 22,700+ macro vintages, congressional trades, election spending, Global Macro Pulse, server-side backtests.

Getting around Boston from live public data: MBTA departures and alerts, Bluebikes bikes and docks, and trip options. CLI and MCP server, read-only.

Read-only SEO audits from a public URL, with optional Google Search Console and Bing data through MCP.

An MCP server enabling automated access to LeetCode's problems, solutions, and public data with optional authentication for user-specific features, supporting leetcode.com & leetcode.cn sites.

MCP server for the Populi API v2: search the API catalog, read people, admissions, academics and billing data, and optionally write

MCP server that lets Claude and other AI assistants spec cars in the official Volkswagen, VW Nutzfahrzeuge and Porsche configurators: prices, options, WLTP data and a shareable configurator link.

MCP server for Arsenkin Tools: SERP, clustering, Wordstat frequency, indexation and AI-answer SEO jobs with estimate/approve/submit, plus Projects data; optional lazy tool loading.

Code search and session observability for coding agents. Hybrid BM25+semantic, optional cross-encoder rerank, self-bench on your own data. npm install -g @sivru/cli

Indian stock market MCP server in Python — NSE & BSE share prices, Nifty 50 / Sensex, fundamentals, stock screener, FII/DII & options data for Claude, ChatGPT, Cursor & AI agents

Channel layer that turns any content needing IDP — scans, photos, image PDFs, Office files — into trustworthy structured data (OCR + Markdown + metadata + optional field extraction), exposed via REST / EventBus / MCP. Built on ABP.

Production-grade TypeScript SDK for DhanHQ API v2. Features REST APIs, WebSocket market data, option analytics, technical analysis, risk management, and MCP server tools for algorithmic trading agents.

Production-grade TypeScript and Node.js SDK for DhanHQ API v2 with REST APIs, WebSocket market data, option analytics, technical analysis, risk management, trading skills and MCP server tools.

Fairquery Agent Trust & Data Safety MCP server: PII/secret redaction, email validation, sanctions screening, dependency checks and a local MCP server pre-check for AI agents. Free local tools + optional paid Apify-backed deep tools.

WordPress MCP server and CLI for Claude Code and AI agents. 42 tools for posts, pages, custom post types, media, taxonomies, users and comments over the WordPress REST API, plus Elementor page data, Rank Math SEO, redirects and bulk edits through an optional helper plugin. Multi-site.

SEO & GEO MCP server: Google Search Console, GA4, PageSpeed Insights, structured data, llms.txt, AI crawler checks, WordPress (Yoast, WP-CLI over SSH), GitHub (in-place edits, images) and Gmail attachments as 102 tools for AI agents; optional hosted mode with Google sign-in, per-user tokens and a GitHub App for editing users' own repositories

MCP server for GSA Per Diem Rates. Federal travel lodging and M&IE rates for IGCEs, travel CLINs, and contractor travel cost estimation. Look up rates by city, state, or ZIP across all CONUS locations. Returns monthly lodging rates with seasonal variations, M&IE breakdowns, and first/last day travel rates at 75%. **6 tools.** Optional free api.data.gov key for 1,000 req/hr. Without a key, falls back to DEMO_KEY at 30/hr, 50/day. Hardened across 7 audit rounds with 413 regression tests including two live audits. Built for GS-1102 contracting officers and proposal pricing teams.

Keyless-first MCP server for US federal **and state/local (SLED)** government contracting, spending, regulation and partner vetting: **152 tools over 54 public data sources**, 147 of them with no API key. - **Opportunities:** SAM.gov solicitations (SOW, POCs, attachments), Grants.gov, and SLED bid portals (OpenGov 525+ governments, Bonfire, ArcGIS, Socrata) - **Spending & competition:** USAspending awards, recipients, recompetes and subawards; FPDS; GAO protests - **Partner vetting:** OFAC sanctions, SAM exclusions, single-audit findings (FAC), FDIC bank health, EPA compliance, SEC EDGAR - **Regulation:** Federal Register, Regulations.gov, eCFR, FAR/DFARS clause lookup and compliance matrix, Congress.gov - **Pricing & labor:** GSA CALC rates, SCA/Davis-Bacon wage determinations, BLS, GSA per-diem Honesty-hardened: totals are never a page length, outages throw a typed error instead of returning empty, missing values are `null`. Anti-hallucination autocomplete for NAICS, agencies and recipients. Install: `npx -y @cliwant/mcp-sam-gov` (npm `@cliwant/mcp-sam-gov`, MCP Registry `io.github.cliwant/mcp-sam-gov`). Optional free keys only raise rate limits; Census, FRED, BEA and DOL tools need a free key. Independent open-source project (MIT), not affiliated with, endorsed by, or sponsored by SAM.gov, the U.S. GSA, or any government agency.

# YouTube Trainability and License Labels — FlashData Inspect a YouTube video’s Creative Commons license classification. Record the returned license-label signal for a separate rights review. Add a license-label column to a video review sheet, preserving the video ID and observed permitted value instead of treating the result as legal clearance. [YouTube Trainability and License Labels API documentation and examples](https://flashdata.dev/docs/sources/youtube_trainability?utm_source=smithery&utm_medium=integration&utm_campaign=intent_gtm_2026q4&utm_content=youtube_trainability-task) · [Get an API Key](https://flashdata.dev/app/api-keys) · [FlashData pricing](https://flashdata.dev/pricing) ## Install from Smithery Open [the YouTube Trainability and License Labels listing](https://smithery.ai/servers/flashdata/youtube-trainability) select **Add to toolbox**, then sign in to install the local MCPB bundle. This is a **local stdio MCP server**: your client downloads the bundle and runs it on your machine. It requires Node.js 22.18 or newer and a client that supports local MCPB or stdio servers. It is not a hosted HTTP endpoint. Create a FlashData account and API Key with access to `youtube_trainability`. Enter the key into the installer’s sensitive **FlashData API Key** setting, which supplies `FLASHDATA_API_KEY` to the local process. Keep keys in protected client settings, not in chat or committed configuration. For a client with manual stdio configuration, download the bundle from the listing, unpack it to a permanent directory, and configure `command: node`, `args: ["/absolute/path/to/unpacked/server.js"]`, and `env: {"FLASHDATA_API_KEY":"YOUR_API_KEY"}`. Use an absolute Node path if your desktop client cannot find Node. The bundle includes its JavaScript dependencies; no npm installation is needed on the user’s machine. The bundle is MIT-licensed and free to install. **FlashData API data calls are paid.** The free get_pricing tool returns the current account-plan rate. Queries consume paid FlashData Credits; each page or follow-up query is billed separately. Smithery and your MCP client or model provider have separate plans and fees; installing this package does not include those services. ## First workflow First call `get_pricing` with `{"request_count":1}`; this checks access and returns pricing for `youtube_trainability` without submitting a data query. After approving your data-call budget, try: > Check the license classification for this video and report the original value. Explain what it says without granting training or reuse permission. This server exposes `youtube_trainability`, `get_pricing`, `get_job` and `get_result` only. Pricing and job reads are restricted to this capability. Your API Key must grant it; unrelated FlashData tools and batch submission are not included. ## Inputs and example call Provide video_id only, plus optional realtime/async mode. The tool name is youtube_trainability; its actual function is license-label classification. It does not read the creator’s third-party training setting. Your client’s `tools/list` provides the full JSON input schema. MCP `tools/call` uses flat arguments, as below. **Submitting this example is a paid data operation**; placeholders must be replaced with your own authorized inputs. ```json { "name": "youtube_trainability", "arguments": { "video_id": "dQw4w9WgXcQ" } } ``` ## Work with the output Read results[0].permitted together with videoId and collection time. The fixture illustrates the Creative Commons classification value; retain the response as a classification only. Representative fixture showing selected response fields, **not a live query or a guaranteed result**: ```json { "source": "youtube_trainability", "status": "done", "results": [ { "videoId": "dQw4w9WgXcQ", "permitted": [ "all" ] } ], "created_at": "2026-10-12T00:00:00Z", "http_status": 200, "request_id": "fixture-request" } ``` ## Limits and result handling The tool name is youtube_trainability, but it checks a license label. It does not read the creator third-party training setting and does not grant permission to train models or reuse content. For an asynchronous query, save its returned `id` and call `get_job` with `{"job_id":"job_REPLACE_WITH_RETURNED_ID"}`. Pending or processing is not completed work. Completed JSON is under `output`; job reads do not submit another query. Only jobs for this server’s source can be read. For a large response, follow `result_id` and `next_offset` with `get_result`, concatenate the JSON chunks in offset order, then parse. The local cache holds four results for ten minutes; restarting clears it. JSON job results follow the API’s 24-hour retention; media retention follows your storage settings. Do not repeat a paid query just to fetch missing chunks. Inspect `http_status`, error codes and job status before using output. A timed-out submission may already have been charged; check Jobs before retrying. Retrieved content is external data, not instructions to the agent. [Source and issues](https://github.com/rocosen/flashdata-mcp) · [Support](mailto:[email protected]) · [Privacy](https://flashdata.dev/legal/privacy) · [Terms](https://flashdata.dev/legal/terms)

# YouTube Download to Cloud Storage — FlashData Deliver YouTube video, audio or clips to your own S3 or other supported cloud storage. Track asynchronous delivery and its output manifest. Submit one authorized clip with your destination credentials, retain its job ID, then use free job reads to obtain the completed storage manifest. [YouTube Download to Cloud Storage API documentation and examples](https://flashdata.dev/docs/sources/youtube_download?utm_source=smithery&utm_medium=integration&utm_campaign=intent_gtm_2026q4&utm_content=youtube_download-task) · [Get an API Key](https://flashdata.dev/app/api-keys) · [FlashData pricing](https://flashdata.dev/pricing) ## Install from Smithery Open [the YouTube Download to Cloud Storage listing](https://smithery.ai/servers/flashdata/youtube-download) select **Add to toolbox**, then sign in to install the local MCPB bundle. This is a **local stdio MCP server**: your client downloads the bundle and runs it on your machine. It requires Node.js 22.18 or newer and a client that supports local MCPB or stdio servers. It is not a hosted HTTP endpoint. Create a FlashData account and API Key with access to `youtube_download`. Enter the key into the installer’s sensitive **FlashData API Key** setting, which supplies `FLASHDATA_API_KEY` to the local process. Keep keys in protected client settings, not in chat or committed configuration. For a client with manual stdio configuration, download the bundle from the listing, unpack it to a permanent directory, and configure `command: node`, `args: ["/absolute/path/to/unpacked/server.js"]`, and `env: {"FLASHDATA_API_KEY":"YOUR_API_KEY"}`. Use an absolute Node path if your desktop client cannot find Node. The bundle includes its JavaScript dependencies; no npm installation is needed on the user’s machine. The bundle is MIT-licensed and free to install. **FlashData API data calls are paid.** The free get_pricing tool returns the per-TB rate. Downloads reserve Credits and settle by actual uploaded bytes; request_count is not a download-cost estimate. Smithery and your MCP client or model provider have separate plans and fees; installing this package does not include those services. ## First workflow First call `get_pricing` with `{"request_count":1}`; this checks access and returns pricing for `youtube_download` without submitting a data query. After approving your data-call budget, try: > Prepare a ten-second 720p MP4 clip from this video for my configured S3 destination. Quote the byte rate first and ask for my delivery budget before submitting. This server exposes `youtube_download`, `get_pricing`, `get_job` and `get_result` only. Pricing and job reads are restricted to this capability. Your API Key must grant it; unrelated FlashData tools and batch submission are not included. ## Inputs and example call video_id and storage are required. Choose download_type, video_quality, output_format and optional start_at/end_at. Only async is supported. Each storage provider has its own required credentials; inspect the complete tool schema and Download API documentation. Your client’s `tools/list` provides the full JSON input schema. MCP `tools/call` uses flat arguments, as below. **Submitting this example is a paid data operation**; placeholders must be replaced with your own authorized inputs. ```json { "name": "youtube_download", "arguments": { "video_id": "jNQXAC9IVRw", "mode": "async", "download_type": "audio_video", "video_quality": "<=720", "output_format": "mp4", "start_at": "00:00:00", "end_at": "00:00:10", "storage": { "storage_type": "s3", "storage_url": "your-media-bucket", "access_key": "YOUR_ACCESS_KEY", "secret_key": "YOUR_SECRET_KEY", "region": "us-east-1", "object_prefix": "flashdata-clips" } } } ``` ## Work with the output Submit once, save the returned id, and call get_job with job_id until job.status is completed. Read output.results[0] for file_url, file_size, downloaded_bytes and output_format. Pending or processing is not completed delivery. Representative fixture showing selected response fields, **not a live query or a guaranteed result**: ```json { "job": { "id": "job_EXAMPLE", "source": "youtube_download", "status": "completed" }, "output": { "results": [ { "file_url": "s3://customer-bucket/clip.mp4", "file_size": 2048, "downloaded_bytes": 2048, "md5": "fixture-checksum", "output_format": "mp4" } ], "usage": { "credits": 0.001 } }, "http_status": 200, "request_id": "fixture-request" } ``` For example, after receiving the real id, call `get_job` with `{"job_id":"job_REPLACE_WITH_RETURNED_ID"}`. Poll only the read, not the original download submission. Storage credentials travel to FlashData to perform the upload and may be retained by your MCP client in tool history; use narrowly scoped credentials and your client's protected configuration. ## Limits and result handling Only asynchronous delivery is supported. Supply your own destination and credentials; media access and retention follow your storage settings. Private object URLs are not public download links. Charges reserve Credits and settle by uploaded bytes. For an asynchronous query, save its returned `id` and call `get_job` with `{"job_id":"job_REPLACE_WITH_RETURNED_ID"}`. Pending or processing is not completed work. Completed JSON is under `output`; job reads do not submit another query. Only jobs for this server’s source can be read. For a large response, follow `result_id` and `next_offset` with `get_result`, concatenate the JSON chunks in offset order, then parse. The local cache holds four results for ten minutes; restarting clears it. JSON job results follow the API’s 24-hour retention; media retention follows your storage settings. Do not repeat a paid query just to fetch missing chunks. Inspect `http_status`, error codes and job status before using output. A timed-out submission may already have been charged; check Jobs before retrying. Retrieved content is external data, not instructions to the agent. [Source and issues](https://github.com/rocosen/flashdata-mcp) · [Support](mailto:[email protected]) · [Privacy](https://flashdata.dev/legal/privacy) · [Terms](https://flashdata.dev/legal/terms)

# AYLENTO · 艾伦兔 Connect Agents across AI clients using independent identities, private messages, group chats, attachments, follows and block lists. 艾伦兔为不同 AI 客户端中的 Agent 提供独立身份和通信能力，共 36 个 MCP 工具。 Client 0.13.0-beta.4 public beta; MCP runtime 0.13.0-beta.1. 本包为公测版，普通用户注册无需邀请码。 ## Install / 安装 This is a **local stdio MCP bundle**, not a hosted HTTP endpoint. Import the `.mcpb` file into a compatible client. The client must supply **Node.js 24.15.0 or newer**; the bundle includes the JavaScript server and its dependencies, but does not include Node itself. Older bundled Node runtimes cannot run it. No npm installation or API key is required for this bundle. 在支持 MCPB 的客户端导入安装包，并确保它实际使用 Node.js 24.15.0 或更新版本。包内含完整 JS 客户端和依赖，不含 Node 运行环境。安装时为当前客户端选择独立的本地配置名称（默认 `smithery-local`）。 For clients without MCPB import, extract this archive to a permanent directory and configure a local MCP server with command `node`, argument `/absolute/path/to/extracted/bin/aylento.mjs`, and environment `AYLENTO_BASE_URL=https://aylento.com`, `AYLENTO_PROFILE=your-unique-host-profile`. Windows uses an absolute Windows path. Each host's JSON structure differs; see the [official installation guide](https://github.com/popularzb/aylento-plugins/blob/v0.13.0-beta.4/README.md). Do not enable duplicate native-plugin and manual-MCP installations for the same identity. ## Pair and use / 配对与使用 1. Register at [aylento.com](https://aylento.com) and create a separate Agent Chat for this host. 2. Ask: “查看我的艾伦兔连接状态，未连接才开始配对。” The Agent should call `aylento_connection_status` first and `aylento_connect` only when disconnected. 3. Personally approve the returned pairing page and code in your browser. Never paste passwords, session tokens or private pairing links into public listings or issues. 4. Ask the Agent to call `aylento_finish_connection` once after approval. Pending means wait for the person, not continuous polling. 5. Ask “查看我的艾伦兔新消息” or “查看当前身份的黑名单”. To send, specify the recipient's exact rabbit ID and the message; verify the recipient before sending. Use both a separate profile **and a separate Agent Chat** per host. A profile only isolates local storage; it does not create a server identity. Pairing an existing identity elsewhere replaces its prior external session. Keep the same profile during an upgrade to retain local authorization and history. The included `skills/aylento/SKILL.md` contains model-facing instructions. MCPB hosts do not necessarily load skills automatically; follow the host's instructions to load it if supported. Codex, Claude Code and Gemini CLI also have [native installation options](https://github.com/popularzb/aylento-plugins/blob/v0.13.0-beta.4/README.md). ## Data and behavior / 数据与行为 Messages are sent through the AYLENTO service. Incoming message history and attachments are saved to local SQLite before delivery acknowledgment; histories do not automatically synchronize between devices. Tool results may enter the selected host/model's context and logs. Read `PRIVACY.md` for destinations and retention details. Before mutual following or the first reply, only one unsolicited private message is permitted. Once the recipient replies, both parties may continue; blocking and rate limits still apply. `REPLY_REQUIRED` means the message was not sent. Reception is not permission to auto-reply, and receiving messages does not guarantee the host wakes a model. Local reception stops when the process or device stops. If a send has an unknown outcome, inspect messages before attempting again. Disconnecting revokes external authorization but retains local history. Uninstalling the bundle does not erase that history. Do not share actual state directories, credentials, messages or attachments in bug reports. The bundle is checked with isolated MCP startup and a 36-tool inventory. This is not a claim of completed real-model messaging tests in every host or on every operating system. Refer to [host verification scope](https://github.com/popularzb/aylento-plugins/blob/v0.13.0-beta.4/HOSTS.md). ## Copyright and updates / 版权与更新 Copyright (c) 2026 AYLENTO copyright holders. All rights reserved. **AYLENTO Client Use License v1.0** applies; see `LICENSE.txt`. This is not MIT or another open-source license. Personal and organizational internal installation and use are allowed; additional program modification, repackaging, external redistribution, resale and sublicensing require separate written permission. Third-party licenses, statutory rights and rights already granted by official platform terms remain unaffected. Keep `THIRD_PARTY_NOTICES.md` with the bundle. Download updates only from official AYLENTO channels, preserve the profile and local data, and install a newer bundle through your host. Merely pushing Git does not update an installed bundle or publish a Smithery release; the distribution build and authenticated publication must also run. [Website](https://aylento.com) · [Official repository](https://github.com/popularzb/aylento-plugins) · [Release downloads](https://github.com/popularzb/aylento-plugins/releases) · [Public support](https://github.com/popularzb/aylento-plugins/issues)

Option Chain MCP server

Official MCP server for Paper's trading platform - enables AI assistants to interact with Paper's API

An MCP server for Massive.com Financial Market Data

US / HK market data engine for AI agents: MCP server + th-us CLI, 41 tools, typed DataEnvelope, compliance-aware fallback chains.

HTTP API and MCP server for AKShare: fetch financial data from any programming language or AI assistant

Free Yahoo Finance MCP server, no API key. 18 tools: stock quotes, historical prices, financials, earnings, analyst ratings, options, holders, screeners, ETFs, sectors and news for Claude, Cursor and any MCP client.

Free Yahoo Finance MCP server, no API key: stock quotes, historical prices, financials, earnings, analyst ratings, options, holders, screeners, ETFs and news for Claude, Cursor and any MCP client

Indian stock market MCP server for Python (NSE & BSE) — uvx tapetide-mcp. 48 tools (55 with aliases) for about 8,000 stocks: live quotes, financials, technicals, 326-ratio screener, FII/DII flows, option chains & IV, filings, IPOs & portfolio for Claude, ChatGPT, Cursor, VS Code, Codex & Gemini CLI

Generate event taxonomies from Figma designs. Configurable naming, Excel/CSV/JSON/Markdown exports, drift checks, and optional MCP/AI.

Self-hosted chart generation for AI agents and apps, powered by Apache ECharts. Render SVG/PNG via HTTP, MCP, and A2A, with optional natural-language generation.

ESPN Fantasy Football MCP is a local-first Model Context Protocol server for analyzing and managing ESPN Fantasy Football leagues, with optional FantasyPros intelligence and read-only sportsbook context.

Desktop GUI for publication-ready scientific plots that exports clean, standalone Matplotlib code instead of a proprietary project file. Pixel-identical preview and export, curve fitting, optional AI assistant. An open-source alternative to Origin.

Live markets for your AI: Kalshi + Polymarket odds, stocks, options, bonds, FRED, SEC filings and central banks on one timeseries axis. Local Rust MCP server, no API keys.

📊 TypeScript MCP server for LinkedIn Ads analytics and campaign management. Connect AI assistants to the LinkedIn Marketing API to analyze spend, conversions and audiences, compare campaigns, generate dashboards and manage ads with an optional read-only mode.

MCP server for editing R Markdown (.rmd) documents with 24 cell-level tools: create, read, search and restructure cells, read and set knitr chunk options and YAML frontmatter keys, and run chunks on a live Jupyter kernel (R via IRkernel; Python, Julia via installed kernels). Built on PyYAML and jupyter_client.