A
license-
qualityD
maintenanceA simple MCP server for utilizing prompts defined in YAML files.
MIT
74,448 servers. Updated
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"Improving and Refining Prompts for Various Uses" matching MCP servers:
- Alicense-qualityDmaintenanceModel Context Protocol server exposing system prompt files and summaries.8GPL 3.0
- AlicenseBqualityFmaintenanceAutomatically crawls documentation websites, converts them to organized markdown files, and generates condensed cheat sheets. Intelligently categorizes content into tools/APIs and provides local-first access to downloaded documentation.3GPL 3.0
- AlicenseAqualityCmaintenanceProvides AI assistants with specialized tools to interact with NIST's Open Security Controls Assessment Language (OSCAL) framework. It enables agents to retrieve schemas, explore models, and generate valid OSCAL documentation for security compliance automation.4051Apache 2.0
- Flicense-qualityDmaintenanceA collection of MCP servers for Slack, Jira, Confluence, and release coordination to automate QA workflows and daily release status reporting.
- FlicenseAqualityDmaintenanceProvides Large Language Models with real-time access to the latest documentation for Python libraries like Langchain, LlamaIndex, and OpenAI, enabling accurate and up-to-date code suggestions.1
- Alicense-qualityCmaintenanceA tool that helps users conduct comprehensive research on complex topics by exploring questions in depth, finding relevant sources, and generating structured, well-cited research reports.213MIT
- Alicense-qualityAmaintenanceMCP server that enables AI assistants to drive systematic literature review workflows, including screening, downloading, converting, and reviewing papers through natural language conversation.27AGPL 3.0
Qdrant Docs MCP Serverofficial
Flicense-qualityCmaintenanceA read-only MCP server providing curated Qdrant documentation for LLMs, enabling retrieval of the latest and most accurate documentation.9- Alicense-qualityBmaintenanceMCP server for Wiki.js with full GraphQL API coverage, fine-grained permissions, multi-user support, and deployable on Vercel.Apache 2.0
- Alicense-qualityDmaintenancePulls up-to-date, version-specific documentation and code examples for libraries directly into your prompt, preventing outdated or hallucinated APIs.MIT
Appwrite Docs MCP Serverofficial
Flicense-qualityAmaintenanceEnables IDEs like Cursor, Windsurf, and Claude Code to access and query Appwrite documentation through a vector-powered search system. Provides developers with contextual Appwrite documentation directly within their development environment.12- Flicense-qualityDmaintenanceEnables scraping and searching documentation websites using semantic or keyword search, with support for multiple deployment modes.
- Flicense-qualityBmaintenanceAn MCP server that retrieves and cleans official documentation for popular AI/Python libraries via web search and LLM processing, exposing a get_docs tool.
- AlicenseAqualityCmaintenanceMCP server providing on-demand access to official prompting guides for building robust meta-prompts.22MIT
- AlicenseAqualityDmaintenanceProvides up-to-date, version-specific documentation and code examples for libraries and frameworks directly into AI prompts, eliminating outdated code generation and hallucinated APIs.21,169,818MIT
- AlicenseAqualityDmaintenanceEnables parsing and extraction of content from various document formats (PDF, Word, Excel, PowerPoint) into Markdown format using the Niutrans document API.15MIT
- AlicenseAqualityDmaintenanceParses various document formats (PDF, Word, Excel, PowerPoint) into Markdown content using NiuTrans API, enabling extraction and reading of document text through natural language interactions.19MIT
- AlicenseAqualityBmaintenanceEnables LLM agents to search, read, and query Salesforce documentation across 129 domains. Uses a pre-compiled knowledge graph with 53,000 nodes and 18,000 code snippets for instant retrieval without RAG.12411MIT
- FlicenseAqualityAmaintenanceLets AI agents navigate documentation by section instead of reading files by brute force, reducing token usage and improving precision.64203