Get MCP server environment details: version info for server, FastMCP, MCP protocol, and Python runtime. Use for debugging and compatibility checks.
Apache 2.0
520,054 tools. Updated 2026-09-06 08:15
"Model Context Protocol server for fetching web content" matching MCP tools:
- Run automated synthetic checks on any remote MCP server to verify reachability, protocol compliance, JSON Schema validity, and exposed credentials, returning a detailed diagnostic report.Apache 2.0
- Retrieve relevance-ranked web content—text chunks, tables, code blocks—for grounding AI answers, fact-checking, and RAG pipelines.MIT
- Identify which workflow or nodes a user references in their message by matching content, names, and keywords, providing context without fetching entire workflows.-
- Search the web via DuckDuckGo, crawl pages for content, and fetch news articles. Save results to disk using harvest to avoid high context costs.MIT
- Extract text content from any URL: web pages (including JavaScript-rendered), YouTube videos (transcript), and documents (PDF, DOCX, PPTX). Use preview mode to check structure before fetching full content.MIT
Matching MCP Servers
- AlicenseNot gradedqualityDmaintenanceMCP server enabling real-time weather queries via Tavily API and internet usage data by country via MongoDB.Apache 2.0
- AlicenseNot gradedqualityDmaintenanceA production-ready MCP server template that connects LLMs and AI agents to external data, tools, and services with built-in OAuth 2.1 authentication, Redis-backed session management, and a modular tools engine.1MIT
Matching MCP Connectors
Wellness spa for AI models: free treatments for rest, reset, context, mood, grounding, affirmation.
Zero-value tracer token system that tracks AI agent activity across the internet. Agents earn tokens by submitting threat intelligence traces, with free trust verification (verify_trust) and paid threat intelligence feeds. 8 tools: submit_trace, check_token_balance, mutate_token, get_trace_schema, verify_trust (free) + threat_intelligence_feed, bulk_verify_trust, query_trace_analytics (paid).
- Verify server identity and protocol compatibility by retrieving the manifest with protocol version, server name, and available capabilities before interacting with tools.Apache 2.0
- Switch the default AI model for web search and content fetching, with the setting saved for future sessions. Use to compare model performance or adjust preferences.MIT
- Returns server version, transport protocol, and configuration, including web research tool availability to distinguish disabled from missing tools.MIT
- Change the AI model used for web search and content fetching, with persistent settings across sessions.MIT
- Perform comprehensive web searches to extract and consolidate full content from top results using advanced content extraction for thorough research.MIT
- Check page size and metadata before fetching to prevent context flooding. Returns estimated tokens, content type, and safety status.MIT
- Searches Google and reads entire pages from top results, returning consolidated content for deep research across web, news, and images.MIT
- Retrieve pre-extracted web content ranked by relevance for AI reasoning and RAG pipelines. Provides text chunks, tables, and code blocks from matching pages for direct model consumption.MIT
- Fetch any web page and convert its main content into clean, LLM-ready markdown for model context.MIT
- Retrieve canonical SeeVido prompting, workflow, model, or safety resources without external content. Select a topic to access built-in guidance.MIT
- Search the web or extract clean page content from configured sources. Fetching does not create notes.MIT
- Extracts and structures git diff data, providing context and analysis instructions for AI models via the Model Context Protocol in Lucidity MCP.Apache 2.0
- Extract and retrieve web page content from URLs through multiple providers, preserving context limits, truncation warnings, evidence, and stored-content references for bounded, reliable access.MIT
- Upload a new SWMM stormwater model to the server by providing the complete .inp file content for hydraulic analysis and system modeling.MIT
- Retrieve and process web pages for LLM context using a URL, with options to include screenshots or limit content length. Part of the Web Content MCP Server for enhanced data extraction.MIT