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521,667 tools. Updated 2026-09-06 11:42

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

  • Retrieve structured docs for a TouchDesigner Python class, with members and methods, from an offline knowledge base. If unknown, get near-name suggestions.
    MIT
  • Analyze Apex classes to infer the Salesforce data model, generating SObject definitions, field usage heatmaps, and relationship graphs. Gain schema insights without an org connection.
    Cryptographic Autonomy 1.0 (Combined Work Exception)
  • Retrieve and filter knowledge graphs to obtain graph IDs and node information for subsequent operations like adding edges or querying node details.
    MIT
  • Retrieve structured documentation for a TouchDesigner Python class, including members and methods, from the offline knowledge base; returns JSON with name suggestions if not found.
    MIT
  • Retrieve all methods of a specified class from Unity IL2CPP global-metadata.dat as a structured list.
    MIT
  • Extract insights and trends from charts, graphs, and dashboards by analyzing data visualization images. Ideal for understanding patterns and metrics in visual data.
    Apache 2.0

Matching MCP Servers

  • A
    license
    A
    quality
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    maintenance
    Enables structured extraction of methods and reproducibility heuristics from academic papers, allowing AI agents to obtain metadata, full text, structured methods, code repository discovery, and a no-clone reproducibility verdict from a paper URL.
    8
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    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.
    2
    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).

  • Plan multi-step queries across Canadian government data APIs by generating a structured execution plan with recommended tools for orchestration and batch preparation.
    MIT
  • Extract structured methods from a paper by pulling its full text, isolating methods sections, and returning steps, reagents, equipment, and analyses via validated AI extraction.
    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.
    -
  • Generate a structured congress abstract for ASCO, ASH, or ESMO by specifying study description, primary and secondary results, and safety data. Outputs Background, Methods, Results, Conclusions.
    MIT
  • Generate a prompt to draft a structured journal abstract with Background, Objective, Methods, Results, and Conclusions, aligned with CONSORT/STROBE guidelines for clinical manuscripts.
    MIT
  • Fetch the output values from the most recent Uindow agent run. Call this after starting or executing an agent to view results captured with ioOutput/ioSave methods.
    Apache 2.0
  • Retrieve structured agent profile data from a Redfin agent profile URL, including name, contact, brokerage, ratings, and recent transactions.
    MIT