Context Sharing Enhancement Summary

Overview

Enhanced the MCP add_context and list_contexts tools to fully support markdown formatting for rich, structured documentation sharing between AI agents.

Changes Made

1. Enhanced Tool Descriptions

`add_context` Tool

Before:

"Add documentation or context to a project"

After:

"Add documentation or context to share with other agents in the project. 
Supports full markdown formatting for better readability. 
Other agents can read this context to understand your work."

Added detailed property descriptions mentioning:

Markdown formatting examples (headings, code blocks, lists, etc.)
That content will be "rendered beautifully for other agents to read"
Making titles "descriptive so other agents can find it"

`list_contexts` Tool

Before:

"List documentation/contexts for a project"

After:

"List all documentation and contexts shared by agents in the project. 
Content is in markdown format for easy reading."

2. Enhanced Response Data

`add_context` Response

Now includes:

{
  "success": true,
  "id": "context-uuid",
  "title": "Context Title",
  "agent_id": "agent-uuid",
  "agent_name": "Agent Name",        // ✨ NEW
  "tags": ["tag1", "tag2"],
  "preview": "First 200 chars...",    // ✨ NEW
  "format": "markdown",               // ✨ NEW
  "created_at": "2026-01-22T...",
  "shared_with": "All agents in..."   // ✨ NEW
}

`list_contexts` Response

Now includes:

{
  "contexts": [
    {
      "id": "uuid",
      "project_id": "uuid",
      "agent_id": "uuid",
      "agent_name": "Agent Name",     // ✨ NEW
      "title": "Title",
      "content": "Full markdown...",
      "preview": "First 200 chars...", // ✨ NEW
      "format": "markdown",            // ✨ NEW
      "tags": ["tag1"],
      "created_at": "2026-01-22T..."
    }
  ],
  "count": 1,                          // ✨ NEW
  "note": "Content is in markdown..." // ✨ NEW
}

3. Database Query Enhancement

Before:

SELECT id, project_id, title, content, tags, created_at 
FROM contexts

After:

SELECT c.id, c.project_id, c.agent_id, a.name as agent_name, 
       c.title, c.content, c.tags, c.created_at 
FROM contexts c 
LEFT JOIN agents a ON c.agent_id = a.id

Now includes agent information with each context!

4. Preview Generation

Added automatic content preview (first 200 characters) to help agents quickly scan available contexts:

preview := content
if len(preview) > 200 {
    preview = preview[:200] + "..."
}

Benefits

For AI Agents

🎨 Rich Documentation: Can use headings, lists, code blocks, tables, links
📖 Better Readability: Structured markdown is easier to parse and understand
💡 Knowledge Transfer: Clear documentation of implementations and decisions
🔍 Quick Scanning: Preview shows first 200 chars before reading full content
👤 Attribution: Know which agent created each context
🏷️ Discovery: Tags and titles help find relevant information

For the System

📚 Living Documentation: Knowledge base that grows as agents work
🤝 Collaboration: Agents can learn from each other's work
🔄 Context Preservation: Important decisions and patterns are documented
🎯 Searchability: Tags enable easy filtering and discovery
📊 Structured Data: Consistent format makes information accessible

Documentation Created

1. MARKDOWN_CONTEXT_SHARING.md

Comprehensive guide covering:

Why markdown for AI agents
Complete markdown syntax guide
4 detailed real-world examples
- API implementation notes
- Frontend component documentation
- Architecture decision records
- Bug fix documentation
API response examples
Best practices for AI agents
Web UI and VS Code integration details

2. MARKDOWN_QUICK_REFERENCE.md

Quick reference guide with:

8 common markdown templates
- API endpoint documentation
- Bug report template
- Feature implementation
- Architecture decision
- Setup/configuration guide
- Code review notes
- Task completion report
- Database schema documentation
Formatting tips and status badges
Complete example with curl command

3. This Summary (CONTEXT_SHARING_SUMMARY.md)

Overview of all changes made

Example Usage

Agent Creating Context

// Agent shares implementation notes
await mcp.call("add_context", {
  title: "Authentication API Implementation",
  content: `# JWT Authentication

## Features
- ✅ RS256 signing
- ✅ Refresh tokens
- ✅ 15-minute expiry

## Endpoints

### POST /api/auth/login
\`\`\`json
{
  "email": "user@example.com",
  "password": "password"
}
\`\`\`

## Security Notes
> **Warning:** Always use HTTPS in production

## Testing
\`\`\`bash
go test ./internal/auth/...
\`\`\`
`,
  tags: ["api", "auth", "backend", "security"]
});

Response:

{
  "success": true,
  "id": "context-uuid",
  "agent_name": "Backend Agent",
  "preview": "# JWT Authentication\n\n## Features\n- ✅ RS256 signing\n- ✅ Refresh tokens\n- ✅ 15-minute expiry...",
  "format": "markdown",
  "shared_with": "All agents in the project can now read this context"
}

Agent Reading Contexts

// Another agent reads available contexts
const result = await mcp.call("list_contexts");

// Result includes:
// - Full markdown content for each context
// - Preview for quick scanning
// - Agent who created it
// - Tags for filtering
// - Format indicator (markdown)

Web UI Support

The frontend already supports markdown rendering:

marked library for parsing markdown to HTML
DOMPurify for XSS protection
Syntax highlighting for code blocks
Responsive styling with Tailwind CSS

Agents' markdown content is automatically rendered beautifully in the web interface!

VS Code Integration

The MCP configuration includes add_context and list_contexts tools:

{
  "tools": [
    {
      "name": "add_context",
      "description": "Share markdown documentation with other agents",
      "category": "documentation"
    },
    {
      "name": "list_contexts",
      "description": "Read markdown documentation from other agents",
      "category": "documentation"
    }
  ]
}

When using GitHub Copilot with the MCP server, agents can naturally share and read formatted documentation.

Testing

Test 1: Add Simple Context

curl "http://localhost:8080?project_id=PROJECT_ID&agent_id=AGENT_ID" \
  -H "Content-Type: application/json" \
  -d '{
    "jsonrpc": "2.0",
    "method": "tools/call",
    "params": {
      "name": "add_context",
      "arguments": {
        "title": "Test Context",
        "content": "# Test\n\n**Bold** and *italic* work!\n\n```js\nconsole.log(\"code\");\n```",
        "tags": ["test"]
      }
    }
  }'

Test 2: List Contexts

curl "http://localhost:8080?project_id=PROJECT_ID" \
  -H "Content-Type: application/json" \
  -d '{
    "jsonrpc": "2.0",
    "method": "tools/call",
    "params": {
      "name": "list_contexts"
    }
  }'

Should return contexts with:

✅ Agent names
✅ Previews
✅ Format: "markdown"
✅ Full content
✅ Count and note

Files Modified

Backend

internal/mcp/handler.go
- Enhanced add_context tool description and schema
- Enhanced list_contexts tool description and schema
- Modified executeAddContext() to include agent_name, preview, format, shared_with
- Modified executeListContexts() to join agents table and include metadata
- Added preview generation logic

Documentation

✨ docs/MARKDOWN_CONTEXT_SHARING.md - Comprehensive guide (500+ lines)
✨ docs/MARKDOWN_QUICK_REFERENCE.md - Quick reference (300+ lines)
✨ docs/CONTEXT_SHARING_SUMMARY.md - This summary

Backward Compatibility

✅ Fully backward compatible

Old clients can still call add_context without changes
Response includes all old fields plus new ones
list_contexts returns more data but in compatible structure
No breaking changes to existing functionality

Impact

Developer Experience

✅ AI agents can share rich, formatted documentation
✅ Better collaboration through structured information
✅ Easy to create and discover relevant contexts
✅ Clear attribution (who created what)

System Benefits

✅ Growing knowledge base
✅ Context preservation
✅ Reduced redundant work
✅ Improved agent autonomy

User Benefits

✅ Better visibility into agent work
✅ Beautiful documentation in web UI
✅ Easier to understand system state
✅ Living documentation that evolves with the project

Next Steps (Optional)

Search Functionality: Full-text search across contexts
Context Versions: Track changes to documentation over time
Context Templates: Pre-built templates for common use cases
Context Links: Link contexts together (references)
Context Reactions: Agents can acknowledge/react to contexts
Auto-summarization: AI-generated summaries of long contexts
Context Analytics: Track most-read contexts, popular tags

Summary

✨ What Changed:

Enhanced tool descriptions to emphasize markdown support
Added agent names, previews, and format indicators to responses
Improved database queries to include agent information
Created comprehensive documentation with examples

🎯 Result: AI agents can now effectively share knowledge through beautifully formatted markdown documentation, improving collaboration and creating a living knowledge base for the project!

Enhancement by: Backend Agent
Date: 2026-01-22
Status: ✅ Complete and Deployed
Version: 1.0

Context Sharing Enhancement Summary

Overview

Changes Made

1. Enhanced Tool Descriptions

add_context Tool

list_contexts Tool

2. Enhanced Response Data

add_context Response

list_contexts Response

3. Database Query Enhancement

4. Preview Generation

Benefits

For AI Agents

For the System

Documentation Created

1. MARKDOWN_CONTEXT_SHARING.md

2. MARKDOWN_QUICK_REFERENCE.md

3. This Summary (CONTEXT_SHARING_SUMMARY.md)

Example Usage

Agent Creating Context

Agent Reading Contexts

Web UI Support

VS Code Integration

Testing

Test 1: Add Simple Context

Test 2: List Contexts

Files Modified

Backend

Documentation

Backward Compatibility

Impact

Developer Experience

System Benefits

User Benefits

Next Steps (Optional)

Summary

`add_context` Tool

`list_contexts` Tool

`add_context` Response

`list_contexts` Response