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162,772 tools. Last updated 2026-05-30 11:51

"Tools or methods for generating graphs from structured data" matching MCP tools:

  • Retrieve and filter knowledge graphs to obtain graph IDs and node information for subsequent operations like adding edges or querying node details.
    MIT
  • Retrieve historical reporting data for system graphs, including CPU, memory, disk, and network metrics, with configurable time units and optional identifiers.
    MIT
  • Execute SPARQL SELECT or CONSTRUCT queries to search and retrieve data from knowledge graphs, returning results as JSON for data analysis and integration.
  • Extract structured data from web pages by supplying URLs and a prompt, with options for web search and retries.
    MIT
  • Extract structured data from webpages, HTML, or markdown using AI-powered natural language prompts to get specific information like product details, contact methods, or article metadata.
    MIT

Matching MCP Servers

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    MCP server providing managed persistent memory for AI agents. Read and write structured state across sessions, tools, and restarts at 1000+ requests per second, with no infrastructure to self-host or operate.
    Last updated
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    Apache 2.0
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    Provides MCP tool adapters for Bioconductor methods like limma, DESeq2, and fgsea, enabling statistical analysis of omics data through containerized R execution. It serves as a bridge between MCP clients and bioinformatics tools for reproducible research workflows.
    Last updated
    Apache 2.0

Matching MCP Connectors

  • A fully autonomous, Agent-to-Agent (A2A) patent data marketplace powered by the Model Context Protocol (MCP) and A2A standards. This server provides highly structured, AI-optimized JSON patent datasets curated for autonomous R&D agents, LLMs, and Quants. Currently exclusively hosting AI-ready patents from IPC/CPC Sections G (Physics & Computing) and H (Electricity).

  • Autonomous A2A marketplace providing AI-ready, structured USPTO patent JSON datasets. Features IPC/CPC Sections G (Physics/Computing, e.g., G01 Sensors, G06 AI/ML) and H (Electricity, e.g., H01 Semiconductors, H04 5G). Enables instant M2M data delivery via automated on-chain payment verification. Networks: Base (USDC), Polygon (USDC), Oasis (ROSE).

  • Fetch a business's NOD Protocol manifest to discover its identity, capabilities, supported actions, API endpoints, and contact methods from a domain's structured JSON file.
    MIT
  • Extract vendor, date, totals, line items, and other structured data from receipt or invoice images using AI. Returns confidence score and supports JPEG, PNG, or PDF.
    MIT
  • Extract web page content and convert it to clean, readable markdown format for analysis, bypassing paywalls and obtaining structured text data from websites.
    Apache 2.0
  • Extract structured data from web pages using JSON schemas or natural language prompts, automatically bypassing bot protection when detected.
  • Extract structured invoice data from ZUGFeRD/Factur-X PDF invoices into JSON, enabling automated invoice processing and data integration.
    MIT
  • Extract structured financial data from investor relations websites and online sources for investment research when APIs are unavailable.
    MIT
  • Extract brand identity from a Figma design file by providing variable maps, styles, or logo SVG. Plan mode suggests tools to call; ingest mode processes all collected data.
    MIT
  • Extract structured data from web pages using LLM capabilities. Define specific information to retrieve with custom prompts and JSON schemas for organized output.
  • Search 6,500+ developer tools for auth, payments, databases, and infrastructure. Filter by source type, GitHub stars, maintenance health, and compatibility to avoid generating boilerplate code.
    MIT
  • Extract structured data from video URLs using AI. Provide a prompt or JSON Schema to define what information to retrieve from videos and websites.
    MIT
  • Inspect template markup, styles, and data schema before generating documents to understand required fields and structure.
    MIT
  • Find classes and methods in source code using a case-insensitive substring query. Returns matching symbols with their type, fully qualified name, and file path.
    MIT