"JSON Web Tokens" matching MCP servers:

Enables fetching any public web page through managed proxies, with optional JavaScript rendering, returning markdown, text, HTML, or structured JSON.

An MCP server for querying the FDSN Web Service Event APIs of multiple seismological datacenters and retrieving earthquake information as JSON.

Connect AI assistants to your Gramps Web family tree. Search and edit genealogy records, explore ancestors, descendants, relationships and timelines, and read document scans with vision-capable models. Includes guided research workflows, source citations, read-only mode, and privacy-aware media previews. Install with Docker or a Claude Desktop bundle.

Read any public web page as a clean AIDocument: Markdown plus title, description, and structure, with navigation and boilerplate stripped. Reads resolve through Lyrenth's shared cache, so it is far fewer tokens than raw HTML and origin-friendly.

Converts PDF, DOCX, PPTX, XLSX, CSV, and JSON into clean, compact, AI-ready Markdown, reducing tokens up to 65%.

Enables LLMs to profile and analyze tabular data files (CSV, Parquet, Excel, JSON) by extracting schema, statistics, data quality issues, and dtype suggestions, returning structured JSON.

Enables running Simulatte's 26 research SKUs (concept testing, pricing, etc.) from any MCP-compatible AI client, returning structured JSON results.

Enables AI agents to search and fetch high-quality information from multiple sources, including general web APIs, Wikipedia, arXiv, Hacker News, Stack Exchange, and Crossref, with optional pro-mode deep research and clean markdown page extraction.

Web search (embedded SearXNG), content extraction, and library docs indexing with hybrid search. No API keys required.

Enables AI agents to query historical market context data from the Konseki API, returning raw JSON for analysis.

Enables local stdio access to DeepSeek Search/Fetch for web search, page extraction, bounded site discovery, code context, and asynchronous SQLite-backed research with secure credential storage.

Enables users to process large datasets record by record, supporting JSON Lines and JSON with jq expressions, with stateful navigation, result tracking, and export capabilities.

Aggregates search results from multiple providers (web, academic, code, finance) with a unified JSON schema, providing both an HTTP API and an MCP server for AI agent tooling.

Free remote MCP for Core Web Vitals metrics by CMS, CDN, and framework (Chrome field data + multi-site crawl). No auth. Endpoint: https://www.corewebvitals.io/api/state-of-cwv/mcp

Enables an agent to run ten ready-made research and monitoring workflows — competitor digests, cited reports, paper alerts, market maps, regulatory and due-diligence watches — pulling from Firecrawl, Tavily, GitHub and landing results in Notion, Slack, Google Docs, Sheets and Linear. Fields are filed with the user's own keys held in the operating system keychain, and every action that creates, sends or changes anything is shown and approved first.

Enables AI assistants to perform real-time web and academic searches using Perplexity's Sonar API.

A memory-efficient MCP server for analyzing large JSON files with streaming, querying, schema detection, and chunk processing.

Enables deep research into cryptocurrency tokens by gathering data from multiple sources like CoinGecko and DeFiLlama to generate structured reports. It allows users to track research progress, fetch web content, and manage resources locally for comprehensive crypto analysis.

Real-time crypto risk scoring for AI agents. Trust Score, crash probability, and distance-to-default for 205 tokens. Free, no API key needed.

Enables deep crypto token research by gathering and structuring data across CoinGecko, CoinMarketCap, DeFiLlama, and web search without API keys. It creates research plans, tracks section status, saves sources as resources, and generates comprehensive token reports locally.