ai-delivery-coordination
MCP server for the ai-delivery-kit orchestration engine, exposing loop management and stall intervention tools for delivery coordination.
README
AI Delivery Coordination
Companion orchestration engine for ai-delivery-kit. Exposes an MCP server for tool-based integration; the kit skill layer must not import this package — use MCP only.
Quick start
python -m venv .venv && source .venv/bin/activate
pip install -e ".[dev]"
pytest tests/unit --ignore=tests/unit/test_task10_crew.py --ignore=tests/unit/test_crew_bridge.py
ai-delivery-kit bridge
orchestration/skill_bridge.py loads .ai-delivery/requirements/<req-id>/status.json into a pipeline view and can flush execution-segment statuses (in_dev / merged / blocked_*) back before reconcile runs.
MCP loop tools: start_loop, stop_loop, loop_status, stall_report, intervene_loop.
Operator guide in ai-delivery-kit: .agents/skills/ai-delivery-orchestrator/references/coordination-mcp-bridge.md.
Layout contract
Reads the same project-binding.json → layout paths as ai-delivery-kit (config/paths.py). No skill-layer Python imports.
Repository layout
Vendored in ai-delivery-kit as the ai-delivery-coordination/ git submodule. Clone the kit with:
git clone --recurse-submodules https://github.com/s-charvin/ai-delivery-kit.git
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.