"Podcast Index" matching MCP servers:

An MCP server that scrapes and transcribes podcast episodes from YouTube or RSS feeds using Deepgram's Nova-2 model. It allows users to track podcasts for new episodes, manage transcripts, and generate personalized summaries through Claude.

Enables AI agents to run RU-first web searches through the Yandex index and extract web pages into clean reader-mode Markdown, bypassing anti-bot blocks.

Enables mapping a company's publicly stated event presence by returning the conferences and trade shows it attends, with years, from a domain. Built on the Mamba Labs Event Presence Index actor on Apify.

Provides tools to fetch web content in HTML, JSON, text, or Markdown formats via MCP. Supports custom headers, length limits, and start index.

Enables AI agents to scrape, crawl, clean, chunk, and index website content into Azure AI Search for full-text retrieval.

Enables AI agents to locally index and read-only search the BYR BBS, including full-text post search, thread reading, board browsing, and index status checks.

An MCP server that enables users to search and navigate Madison, Wisconsin municipal ordinances using a TF-IDF search index. It provides specific code sections and citations to answer questions about local regulations like building permits and zoning.

A read-only MCP server for E-Hentai and ExHentai, enabling gallery search, metadata retrieval, similar-gallery lookup, tag resolution, and authenticated favorites/archive access.

Enables AI agents to access public Spotify data (tracks, albums, artists, playlists, podcasts) without an API key, including lyrics and podcast transcripts with optional login.

Enables AI agents to check whether a domain loads securely in a browser, including certificate validity and expiry, and to pull public homepage facts such as title, language, CMS, contact emails, phones, and social links. It also searches a small dated local-business index by category and area.

Enables AI agents to run SEO audits and reporting over a user's own Search Console, Google Analytics, Bing, and keyword/competitor provider data, including page/index status, traffic comparisons, backlinks, and local crawl/internal-link analysis.

Lets an MCP client collect the marketing evidence behind any URL — ad libraries, social, SEO, pixels, founders, Reddit, positioning history — as a token-cheap scorecard plus citable evidence index and unknowns. Enables the agent to fetch specific evidence, follow a per-channel analysis method, validate citations and grounding, and produce a step-by-step playbook for copying the growth engine.

Retrieves real-time Hang Seng Index data and news headlines with AI-powered summaries from AAStocks, supporting stock quote lookups via symbol or company name.

MCP server for local semantic search over web content, enabling AI agents to ingest, index, and query pages with hybrid retrieval and token budget control.

Docdex is a lightweight, local documentation indexer/search daemon. It runs per-project, keeps an on-disk index of your markdown/text docs, and serves top-k snippets over HTTP or CLI for any coding assistant or tool—no external services or uploads required.

Enables AI-powered search capabilities through Perplexity AI's continuously refreshed index. Supports web, academic, and SEC search modes with advanced filtering options including geographic location and customizable result limits.

Extracts LinkedIn saved posts into a structured research index using Chrome DevTools Protocol.

Enables AI assistants to fetch webpages, convert them to Markdown, index into SQLite FTS5, and query the knowledge base through MCP tools.

Enables AI models to search for and retrieve the latest technical documentation from popular agent frameworks (such as langchain, llama-index, autogen, agno, openai-agents-sdk, mcp-doc, camel-ai, and crew-ai) by running site-scoped web searches and extracting the page text. It can be run locally over stdio or deployed remotely over SSE for use with clients like Cursor and Cline.

Enables assistants to discover, search, and extract real design systems — palettes, type scales, spacing, surfaces, and do/don't guidance — from the public style pages of styles.refero.design. It reports index coverage with every search and renders matched styles as structured design.md sections or parsed JSON tokens.