Corn Intelligence MCP Server
A high-performance MCP server integrated with a Django analytics dashboard, featuring 19 tools for AI interaction tracking, AST code analysis, and real-time token efficiency metrics.
README
🌽 Personal MCP Intelligence Platform v2.0
A high-performance Model Context Protocol (MCP) server integrated with a Django-powered analytics dashboard. Features the Corn Intelligence toolset for comprehensive AI interaction tracking, AST code analysis, and real-time token efficiency metrics.
🚀 Key Features
1. Intelligence Dashboard
- Real-time Monitoring: Every tool call is logged with latency, token usage, and efficiency metrics.
- Auto-Reload: Dashboard refreshes every 15 seconds with a visual countdown indicator.
- Token Analytics: Visualize direct token costs vs. context savings with efficiency scoring.
- Session Explorer: Browse and drill into past sessions at
/sessions/.
2. Corn Intelligence Toolset (v2.0) — 19 Tools
| # | Tool | Category | Description |
|---|---|---|---|
| 1 | corn_health |
Core | System health — CPU, RAM, uptime |
| 2 | corn_session_start |
Core | Begin a tracked work session |
| 3 | corn_session_end |
Core | End session with summary |
| 4 | corn_memory_store |
Memory | Store agent memory with tags |
| 5 | corn_memory_search |
Memory | Keyword search over memories |
| 6 | corn_knowledge_store |
Knowledge | Store a shared knowledge item |
| 7 | corn_knowledge_search |
Knowledge | Semantic search over knowledge base |
| 8 | corn_code_read |
Code | Read raw source code from any file path |
| 9 | corn_detect_changes |
Code | Uncommitted git changes cross-referenced with AST graph |
| 10 | corn_list_repos |
Code | List indexed repositories with symbol counts (auto-indexes on first call) |
| 11 | corn_code_search |
Code | Hybrid AST symbol search by name |
| 12 | corn_code_context |
Code | 360° symbol view: callers, callees, hierarchy |
| 13 | corn_code_impact |
Code | Blast radius analysis — which files depend on a given file |
| 14 | corn_cypher |
Code | Graph-style queries: (a)-[:CALLS]->(b) |
| 15 | corn_tool_stats |
Analytics | Usage analytics over last 50 tool calls |
| 16 | corn_quality_report |
Quality | Submit a 3-dimension quality report (Clarity/Efficiency/Security) |
| 17 | corn_record_conversation |
Analytics | Log raw conversation token usage to Dashboard |
| 18 | corn_plan_quality |
Quality | Score a plan text against 8 quality criteria (must ≥80%) |
| 19 | corn_changes |
Analytics | Check recent git commits by agents (git log -n 5) |
3. AST Code Intelligence Engine
- Auto-Indexing:
corn_list_reposautomatically scans and indexes Python source files on first call. - Symbol Graph: Stores
Function,Class, andMethodnodes withCALLS/INHERITSrelationships in MySQL. - Blast Radius:
corn_code_impactidentifies all callers transitively affected by changes to a file.
4. Token Efficiency Metrics
- Accurate Counting: Heuristic blends character density and word count —
max(chars/4, words × 1.35)— for reliable estimation across code and natural language. - Context Saved: For search tools (
memory_search,knowledge_search,code_search), tokens saved = total DB tokens − tokens returned. Reflects real context reduction. - Efficiency (%):
Saved / (Used + Saved). Aim for >80%!
🏛️ Architecture
IDE (Antigravity / Claude)
│ stdio (MCP protocol)
▼
Docker: personal-mcp-web
├── Django MCP Server (run_mcp management command)
│ └── 19 Corn Intelligence Tools
├── AST Indexer (mcp_server/utils/indexer.py)
└── Django Dashboard (http://localhost:8000)
└── Real-time Activity Log, Sessions, Token Analytics
│
▼
Docker: mcp_mysql_db (MySQL 8)
├── Session, ToolLog
├── Memory, Knowledge
└── Repository, Symbol, SymbolRelation, PlanQuality
🏃 Getting Started
-
Launch Services:
docker-compose up -d -
Connect IDE — add to your MCP config (
mcp_config.json):{ "mcpServers": { "personal-mcp-v2": { "command": "/usr/local/bin/docker", "args": ["exec", "-i", "personal-mcp-web", "python", "manage.py", "run_mcp", "--verbosity", "0", "--no-color", "--skip-checks"] } } } -
Run Migrations (first-time setup):
docker exec personal-mcp-web python manage.py migrate -
Explore Dashboard: http://localhost:8000/
🛠️ Development
Apply new migrations after model changes:
docker exec personal-mcp-web python manage.py makemigrations mcp_server
docker exec personal-mcp-web python manage.py migrate mcp_server
Check Django config inside container:
docker exec personal-mcp-web python manage.py check
View live logs:
docker logs -f personal-mcp-web
Powered by Antigravity — Premium AI Engineering.
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