feat: Add MCP server stubs, development docs, and Docker updates

- Add MCP server skeleton implementations for all 7 planned servers
  (llm-gateway, knowledge-base, git, issues, filesystem, code-analysis, cicd)
- Add comprehensive DEVELOPMENT.md with setup and usage instructions
- Add BACKLOG.md with detailed phase planning
- Update docker-compose.dev.yml with Redis and Celery workers
- Update CLAUDE.md with Syndarix-specific context

Addresses issues #16, #20, #21

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

mcp-servers/cicd/pyproject.toml

@@ -0,0 +1,23 @@
+[project]
+name = "syndarix-mcp-cicd"
+version = "0.1.0"
+description = "Syndarix CI/CD MCP Server - Pipeline management"
+requires-python = ">=3.12"
+dependencies = [
+    "fastmcp>=0.1.0",
+    "httpx>=0.27.0",
+    "redis>=5.0.0",
+    "pydantic>=2.0.0",
+    "pydantic-settings>=2.0.0",
+]
+
+[project.optional-dependencies]
+dev = [
+    "pytest>=8.0.0",
+    "pytest-asyncio>=0.23.0",
+    "ruff>=0.8.0",
+]
+
+[tool.ruff]
+target-version = "py312"
+line-length = 88

mcp-servers/cicd/server.py

@@ -0,0 +1,47 @@
+"""
+Syndarix CI/CD MCP Server.
+
+Provides CI/CD pipeline management with:
+- Gitea Actions integration
+- GitHub Actions integration
+- Pipeline status monitoring
+
+Phase 5 implementation.
+"""
+
+import os
+
+from fastmcp import FastMCP
+
+mcp = FastMCP(
+    "syndarix-cicd",
+    description="CI/CD pipeline management",
+)
+
+
+@mcp.tool()
+async def get_pipeline_status(project_id: str, run_id: str | None = None) -> dict:
+    """Get CI/CD pipeline status."""
+    return {"status": "not_implemented", "project_id": project_id}
+
+
+@mcp.tool()
+async def trigger_pipeline(project_id: str, workflow: str, ref: str = "main") -> dict:
+    """Trigger a CI/CD pipeline."""
+    return {"status": "not_implemented", "project_id": project_id}
+
+
+@mcp.tool()
+async def list_workflows(project_id: str) -> dict:
+    """List available CI/CD workflows."""
+    return {"status": "not_implemented", "project_id": project_id}
+
+
+@mcp.tool()
+async def get_logs(project_id: str, run_id: str, job: str | None = None) -> dict:
+    """Get logs from a pipeline run."""
+    return {"status": "not_implemented", "project_id": project_id}
+
+
+if __name__ == "__main__":
+    mcp.run()