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MIT
150,445 tools. Last updated 2026-05-28 05:34
"Understanding PRD and MVP concepts" matching MCP tools:
- Extract named entities, linked concepts, and sameAs graph nodes from page content or raw text using rule-based heuristics. Build entity maps for schema generation or audit entity coverage.MIT
- Find equivalent concepts across medical vocabularies by mapping a source OMOP concept ID to targets like SNOMED or ICD-10, with relationship types and mapping quality.MIT
- Search Chargebee product documentation for explanations of billing, payments, and subscription management concepts.MIT
- Search Tenzir documentation by keyword to find operators, functions, or concepts, and explore related content through cross-references for comprehensive understanding.Apache 2.0
- Search Redis documentation and knowledge base to find information on concepts, data structures, features, and use cases including caching, session management, and semantic search.MIT
Matching MCP Servers
- FlicenseBqualityDmaintenanceReads README files from the file system and automatically generates structured Product Requirements Documents (PRDs), saving users time on documentation tasks.Last updated19
- Alicense-qualityCmaintenanceA specialized Model Context Protocol server that enables AI systems to generate detailed, well-structured product requirement documents through a standardized interface.Last updated4535MIT
Matching MCP Connectors
USGS commodity benchmarks, attested field run logs, and mining/geologic district data for AI agents. Nine data endpoints gated by x402 ($0.10 USDC on Base). Tools: get_commodity_benchmark (gold, silver, copper, and 17 more critical minerals), get_ultrasound_run_data (on-chain EAS-attested gravity-separation field runs), district.history (MRDS-sourced deposit and assay history by country/state/district), and ask_sales_agent. No API keys — pay per call in USDC.
Geospatial MCP server for earthquake, tsunami, volcano, disaster, and FX data queries.
- Find medical concepts similar to a reference concept, name, or natural language query using semantic, lexical, or hybrid algorithms. Use to explore related concepts, find alternative codes, or build phenotype sets.MIT
- Analyze codebases and design user interfaces using Google Gemini's visual understanding and detective capabilities for rapid prototyping and comprehensive analysis.MIT
- Retrieves task prompts with descriptions and technical data from Webvizio MCP Server to facilitate proper understanding and execution of development tasks when provided with a task UUID.MIT
- Find images across the web to illustrate concepts, locate specific pictures, or discover visual resources. Returns images as base64-encoded JPEGs or URLs with metadata.Apache 2.0
- Find medical concepts from natural language descriptions using semantic understanding. Matches symptoms, conditions, or treatments to standardized clinical codes even without exact terminology.MIT
- Locate OMOP concept IDs for medical terms by searching OHDSI standardized vocabularies. Returns matching concepts with names, vocabulary, domain, and standard status.MIT
- Create a PowerPoint slide to compare two concepts side-by-side with titles and structured content for clear visual analysis.MIT
- Regenerate the wiki index by scanning Sources, Concepts, and Entities folders. Replaces the entire index.md body — use after bulk page creation or when lint reports index mismatch.Apache 2.0
- Enforce a structured product analysis checklist (target users, competition, risks, MVP scope, RICE rationale) on an initiative before scoring. Returns a framework to fill, then call add_initiative and score_initiative.MIT
- Return classes, functions, and methods annotated with domain concepts and semantic roles from a file path. Understand file structure and implemented concepts without reading the file content.MIT
- Discover semantically related concepts using ConceptNet's similarity algorithms to expand exploration, find related terms, and understand semantic neighborhoods.GPL 3.0
- Resolves exact Pine Script API terms and known concepts to provide precise documentation for functions and vocabulary.MIT
- Retrieve README files from GitHub repositories to access project overviews, installation guides, and usage examples for understanding codebases.MIT
- Search AI image prompts using semantic understanding to find visually and conceptually similar results, including image URLs for easy browsing and style picking.MIT