A
licenseA
qualityD
maintenanceA Model Context Protocol server for managing prompt templates as markdown files with YAML frontmatter, allowing users and LLMs to easily add, retrieve, and manage prompts.
Last updated
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11
15
MIT
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"YAML" matching MCP servers:
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Alicense-qualityFmaintenanceOpen-source agentic schema layer. Define metrics once in YAML, query governed data from any warehouse (Snowflake, BigQuery, Databricks, PostgreSQL, DuckDB) via MCP.Last updated28Apache 2.0- Alicense-qualityBmaintenanceProvides semantic search and a tag-based knowledge graph for any project, auto-discovering local markdown knowledge bases with YAML frontmatter.Last updated30MIT
- Alicense-qualityCmaintenanceA server for the Machine Chat Protocol (MCP) that provides a YAML-based configuration system for LLM applications, allowing users to define resources, tools, and prompts without writing code.Last updated5MIT
- Flicense-qualityDmaintenanceEnables routing of ML tasks like chat, sentiment analysis, recommendations, and summarization to appropriate models through a dynamic YAML-based registry. Provides async FastAPI endpoints with streaming support, retry logic, and pluggable model architecture for scalable ML inference.Last updated4
- Flicense-qualityDmaintenanceEnables the conversion of Dify applications into Model Context Protocol tools, supporting streaming responses and configured via YAML.Last updated5
- AlicenseAqualityBmaintenanceMCP server that converts .eml email exports (Gmail, Outlook, and other archives) into clean Markdown with YAML front matter — splitting reply threads, stripping signatures and quoted history, extracting attachments, and parsing calendar invites. Built for feeding archived email into RAG and LLM pipelines.Last updated44PolyForm Noncommercial 1.0.0
- Alicense-qualityFmaintenanceProvides access to over 500 pre-configured YAML templates and guided workflows for fine-tuning, training, and evaluating LLMs like Llama and DeepSeek. It enables AI assistants to search for recipes, retrieve configurations, and validate parameters for various machine learning tasks.Last updatedApache 2.0