yaml
16 servers · 183★ total
Deploy production-ready AI services in minutes. One YAML file for agents, RAG pipelines, and MCP servers — run anywhere. Inspired by docker-compose.
Your AI assistants don't know who you are. mcp-me fixes that: a local MCP server that gives any AI a full picture of who you are
FAF specification — IANA-registered AI context format (application/vnd.faf+yaml)
Heddle — The policy-and-trust layer for MCP tool servers. Turn YAML configs into validated, policy-enforced MCP tools.
Structured file edits for AI agents (JSON/YAML/TOML, markdown, AST, dry-run, MCP). Not a generic filesystem MCP.
A structured data reader and writer like 'jq' and 'yq' for AI Agents
Automation framework for MCP servers. Write a YAML playbook, replay it deterministically against real servers, no LLM in the loop.
A modular Obsidian vault template for professional profile management, career tracking, and AI-assisted application preparation — CVs, grants, fellowships, and more.
Detect configuration drift across environments before it causes incidents
AI-era Makefile, codify expert workflows as YAML graphs
Terraform-style plan/apply for agent systems: versioned YAML for agents, tools, workflows, and policies; local-first SQLite state; MCP & HTTP tools; structured traces.
MCP server for the OrionBelt Semantic Layer. Enables LLMs to explore semantic models, compile queries, and execute analytics via natural language. Works with Claude, Cursor, Windsurf, Copilot.
APAI is an open protocol for describing, documenting, and validating artificial intelligence systems.
Convert between CSV, JSON, YAML, Parquet, Avro, and Protobuf data formats
Model-agnostic multi-agent orchestration built on CrewAI. YAML-driven agent and MCP catalogs, dynamic LLM planning, sessions, and pluggable execution — mix Ollama, OpenAI, Anthropic, HuggingFace, and your own tools without rewriting orchestration logic.
Persistent Project Context for Rust MCP clients — IANA-registered .faf format · Rust-native MCP server