Dealership AI Server
FreeNot checkedMCP server that enables AI agents to instantly understand, generate pattern-aware code, search across repos, and validate changes in the Dealership AI codebase.
About
MCP server that enables AI agents to instantly understand, generate pattern-aware code, search across repos, and validate changes in the Dealership AI codebase.
README
MCP server that gives AI agents superpowers when working across the Dealership AI / AllyAI codebase. Instead of spending 20+ tool calls exploring a repo, agents get instant architecture understanding, pattern-aware code generation, cross-repo search, and one-call validation.
Why This Exists
Giving an agent direct repo access is slow — they spend most of their time exploring, reading files to understand patterns, and manually validating. This MCP server eliminates that overhead:
| Without MCP Server | With MCP Server |
|---|---|
| 20+ reads to understand a repo | get_codebase_summary() — one call |
| Read 5 files to learn the pattern | extract_patterns() — one call |
| Search repos one at a time | search_all_repos() — all 7 at once |
| Write boilerplate from scratch | scaffold_*() — pattern-matching generation |
| Manual lint + type check + test | validate_changes() — one call |
| No cross-repo awareness | get_service_map() — full dependency graph |
Setup
pip install -e .
Adding to Claude Code
{
"mcpServers": {
"dealership-ai": {
"command": "python",
"args": ["-m", "src.server"],
"cwd": "/path/to/mcp-server"
}
}
}
Adding to Cursor
Add to .cursor/mcp.json:
{
"mcpServers": {
"dealership-ai": {
"command": "python",
"args": ["-m", "src.server"],
"cwd": "/path/to/mcp-server"
}
}
}
Tool Categories
Context Tools — Instant Codebase Understanding
get_codebase_summary(repo)— Full architecture: framework, endpoints, models, deps, env vars, biggest filesextract_patterns(repo)— Coding conventions: import style, endpoint patterns, error handling, model patterns, namingget_function_context(repo, func)— Complete context: definition, callers, callees, tests, importsget_api_surface(repo)— All endpoints with request/response types and router registrationget_dependency_graph(repo)— Internal module import graph (foundational vs leaf modules)
Scaffold Tools — Pattern-Aware Code Generation
scaffold_fastapi_endpoint(...)— Generate endpoint matching the repo's exact patternsscaffold_react_component(...)— Generate component with proper imports, styling, hooksscaffold_pydantic_model(...)— Generate model matching conventionsscaffold_test(repo, file)— Generate test file for any source filescaffold_from_example(repo, template_file, new_name, modifications)— Clone + modify any filecreate_new_repo(name, template, description)— Create new GitHub repo (fastapi/react-vite/python-service)
Cross-Repo Tools — Multi-Repo Operations
search_all_repos(pattern)— Search all 7 repos simultaneouslyget_service_map()— Discover how services connect: shared Firestore, env vars, external APIsfind_shared_models()— Find data models that appear across repos (API contracts)get_deployment_overview()— Docker, ports, Cloud Run config for all reposbatch_git_status()— Git status of all repos in one callbatch_git_pull()— Pull all repos at oncebatch_create_branch(name)— Create same branch across all repos
Validation Tools — Quality Before Committing
validate_repo(repo)— Full suite: syntax + lint + type check + testsvalidate_changes(repo)— Validate only uncommitted files (fast)check_syntax(repo, file)— Quick syntax check on one filecheck_imports(repo, file)— Verify all imports resolverun_tests(repo)— Run test suite
Core Tools — File, Git, Repo Management
- File ops:
read_file,write_file,edit_file,delete_file,list_files,search_code,get_file_tree - Git ops:
git_status,git_diff,git_log,git_branch,git_checkout,git_add,git_commit,git_push,git_pull,git_stash,create_pull_request,run_command - Repo ops:
list_repos,clone_repo,clone_all_repos,get_repo_info,pull_repo
Resources (Auto-Loaded Context)
repo://overview— Complete system architecture and how services connectrepo://conventions— Coding patterns across all reposrepo://quick-start— Step-by-step guide for agents
Prompts (Task Templates)
implement_feature(repo, description)— Guided feature implementationfix_bug(repo, description)— Guided bug fixingadd_endpoint(repo, description)— Guided endpoint additioncross_repo_change(description)— Guided multi-repo changes
Configured Repos
| Repo | Language | Purpose |
|---|---|---|
| voice-backend-v2 | Python | Voice AI agent for dealership phone calls |
| admin-dashboard | Python | Admin panel API for dealership staff |
| selinium-browser-automation | Python | Selenium appointment booking service |
| chatbot-backend | Python | Multi-tenant AI chatbot backend |
| firebase-backend | Python | Core REST API (users, conversations, tasks) |
| workflow-builder | Python | NLP-driven campaign workflow engine |
| ally-ai-production | TypeScript | Marketing/landing site (React + Vite) |
Install Dealership AI Server in Claude Desktop, Claude Code & Cursor
unyly install dealership-ai-mcp-serverInstalls into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.
First time? Get the CLI: curl -fsSL https://unyly.org/install | sh
Or configure manually
Run in your terminal:
claude mcp add dealership-ai-mcp-server -- uvx --from git+https://github.com/Exploratory-Projects/mcp-server dealership-mcp-serverFAQ
Is Dealership AI Server MCP free?
Yes, Dealership AI Server MCP is free — one-click install via Unyly at no cost.
Does Dealership AI Server need an API key?
No, Dealership AI Server runs without API keys or environment variables.
Is Dealership AI Server hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Dealership AI Server in Claude Desktop, Claude Code or Cursor?
Open Dealership AI Server on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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