Project 39: Claude Code Extension - Build New Capabilities
Project 39: Claude Code Extension - Build New Capabilities
Extend Claude Code itself by building a new tool type, a novel MCP transport, or a capability that does not exist yet - contributing back to the ecosystem.
Quick Reference
| Attribute | Value |
|---|---|
| Difficulty | Master |
| Time Estimate | 2+ months |
| Languages | TypeScript (Alternatives: Rust for performance-critical parts) |
| Prerequisites | All previous projects, open source contribution experience |
| Key Topics | MCP Protocol, Tool Design, Open Source, API Design |
| Knowledge Area | Tool Development / Language Model Integration |
| Software/Tools | Claude Code internals, MCP SDK |
| Coolness Level | Level 5: Pure Magic (Super Cool) |
| Business Potential | 5. The “Industry Disruptor” |
1. Project Overview
This is the meta-project. You are not just using Claude Code - you are extending it. This requires deep understanding of how all the pieces fit together, plus the discipline to build something others can use.
What makes this Master level:
- Protocol-level understanding required
- Must work within existing constraints
- Needs to be production-quality
- Open source best practices
- Documentation for LLM consumption
2. Real World Outcome
You will extend Claude Code with capabilities that do not exist yet:
Example: Build a “Memory” MCP Server
# Your new MCP server adds persistent memory to Claude
$ claude
You: Remember that I prefer Tailwind CSS over styled-components
Claude: [Calls mcp__memory__store]
key: "preferences.css"
value: "Tailwind CSS over styled-components"
context: "User stated preference for CSS framework"
I have noted your preference for Tailwind CSS. I will keep this in mind
for future styling recommendations.
# Later session (next day)...
You: Help me style this new component
Claude: [Calls mcp__memory__recall]
query: "css styling preferences"
[Retrieved: "User prefers Tailwind CSS over styled-components"]
I will help you style this component using Tailwind CSS, which I know
you prefer.
Here is a styled version of your component:
export function Card({ title, children }) {
return (
<div className="bg-white rounded-lg shadow-md p-6
dark:bg-gray-800 hover:shadow-lg transition-shadow">
<h2 className="text-xl font-semibold text-gray-900 dark:text-white">
{title}
</h2>
<div className="mt-4 text-gray-600 dark:text-gray-300">
{children}
</div>
</div>
);
}
Published Package:
+------------------------------------------------------------------+
| @yourname/mcp-memory |
+------------------------------------------------------------------+
| |
| Persistent memory across Claude Code sessions |
| |
| Features: |
| - Store and recall information across sessions |
| - Semantic search over stored memories |
| - Configurable storage backends (SQLite, Redis, PostgreSQL) |
| - Memory decay for time-sensitive information |
| - Privacy-respecting local-first design |
| |
| Stats: |
| - Downloads: 1,247 this week |
| - GitHub Stars: 89 |
| - Contributors: 7 |
| |
+------------------------------------------------------------------+
Example: Build a “Code Metrics” MCP Server
$ claude
You: Analyze the complexity of the authentication module
Claude: [Calls mcp__code_metrics__analyze]
path: "src/auth"
metrics: ["complexity", "coupling", "coverage"]
+------------------------------------------------------------------+
| CODE METRICS ANALYSIS |
+------------------------------------------------------------------+
| |
| Module: src/auth |
| |
| COMPLEXITY |
| +--------------------------------------------------------------+|
| | File | Cyclomatic | Cognitive | Lines | Rating ||
| |-------------------|------------|-----------|-------|---------|
| | login.ts | 12 | 18 | 234 | C ||
| | oauth.ts | 8 | 12 | 156 | B ||
| | session.ts | 5 | 7 | 89 | A ||
| | middleware.ts | 15 | 22 | 312 | D ||
| +--------------------------------------------------------------+|
| |
| COUPLING |
| +--------------------------------------------------------------+|
| | Module depends on: 12 other modules ||
| | Module is used by: 8 other modules ||
| | Coupling score: 0.67 (moderate) ||
| +--------------------------------------------------------------+|
| |
| RECOMMENDATIONS |
| +--------------------------------------------------------------+|
| | 1. middleware.ts: Consider splitting into smaller functions ||
| | 2. login.ts: Extract validation logic to reduce complexity ||
| | 3. Consider adding tests - coverage is at 45% ||
| +--------------------------------------------------------------+|
| |
+------------------------------------------------------------------+
3. The Core Question You Are Answering
“What capability does Claude Code need that does not exist yet?”
You have spent 38 projects learning what Claude Code can do. Now use that knowledge to build what it cannot do - and share it with the community.
Follow-up questions:
- What workflows are currently awkward?
- What integrations are missing?
- What would make Claude Code 10x more useful for your work?
4. Concepts You Must Understand First
Stop and research these before coding:
4.1 MCP Protocol Deep Dive
Questions to answer:
- What is the complete MCP message format?
- How do transports (stdio, HTTP, SSE) differ?
- What are the extension points?
+-----------------------------------------------------------------------+
| MCP PROTOCOL ARCHITECTURE |
+-----------------------------------------------------------------------+
| |
| CLIENT (Claude Code) |
| +-------------------------------------------------------------------+|
| | ||
| | Request Response ||
| | +-------------+ +-------------+ ||
| | | method | ---------> | result | ||
| | | params | | error? | ||
| | | id | <--------- | id | ||
| | +-------------+ +-------------+ ||
| | ||
| +-------------------------------------------------------------------+|
| | ^ |
| | JSON-RPC 2.0 | |
| v | |
| +-------------------------------------------------------------------+|
| | TRANSPORT LAYER ||
| | ||
| | +-----------+ +-----------+ +-----------+ +-----------+ ||
| | | STDIO | | HTTP | | SSE | | WebSocket | ||
| | +-----------+ +-----------+ +-----------+ +-----------+ ||
| | ||
| +-------------------------------------------------------------------+|
| | ^ |
| v | |
| SERVER (Your Extension) |
| +-------------------------------------------------------------------+|
| | ||
| | +------------+ +------------+ +------------+ ||
| | | Tools | | Resources | | Prompts | ||
| | +------------+ +------------+ +------------+ ||
| | ||
| | Tools: Functions that Claude can call ||
| | Resources: Data that Claude can read ||
| | Prompts: Predefined prompt templates ||
| | ||
| +-------------------------------------------------------------------+|
| |
+-----------------------------------------------------------------------+
Reference: Official MCP specification at https://spec.modelcontextprotocol.io/
4.2 Tool Design Principles
Questions to answer:
- What makes a tool composable?
- How do you design for discoverability?
- What is the right granularity?
+-----------------------------------------------------------------------+
| UNIX PHILOSOPHY FOR AI TOOLS |
+-----------------------------------------------------------------------+
| |
| 1. DO ONE THING WELL |
| +---------------------------------------------------------------+ |
| | BAD: mcp__everything__do_stuff(action, params...) | |
| | GOOD: mcp__memory__store(key, value) | |
| | mcp__memory__recall(query) | |
| | mcp__memory__forget(key) | |
| +---------------------------------------------------------------+ |
| |
| 2. COMPOSABILITY |
| +---------------------------------------------------------------+ |
| | Tools should work together: | |
| | | |
| | mcp__git__diff() -> mcp__code_review__analyze() | |
| | -> mcp__memory__store() | |
| +---------------------------------------------------------------+ |
| |
| 3. CLEAR CONTRACTS |
| +---------------------------------------------------------------+ |
| | Input: Explicit, typed, documented | |
| | Output: Predictable, structured | |
| | Errors: Meaningful, actionable | |
| +---------------------------------------------------------------+ |
| |
| 4. PROGRESSIVE DISCLOSURE |
| +---------------------------------------------------------------+ |
| | Simple case: mcp__metrics__analyze("src/") | |
| | Advanced: mcp__metrics__analyze("src/", { | |
| | metrics: ["complexity", "coupling"], | |
| | threshold: { complexity: 10 }, | |
| | format: "detailed" | |
| | }) | |
| +---------------------------------------------------------------+ |
| |
+-----------------------------------------------------------------------+
Reference: “The Art of Unix Programming” by Eric S. Raymond - Chapter 1, 4
4.3 Open Source Practice
Questions to answer:
- How do you write for public consumption?
- What documentation is expected?
- How do you handle contributions?
+-----------------------------------------------------------------------+
| OPEN SOURCE CHECKLIST |
+-----------------------------------------------------------------------+
| |
| DOCUMENTATION |
| [ ] README with quick start |
| [ ] API reference with all tools |
| [ ] Examples for common use cases |
| [ ] Configuration options explained |
| [ ] Troubleshooting guide |
| |
| CODE QUALITY |
| [ ] TypeScript with strict mode |
| [ ] 80%+ test coverage |
| [ ] ESLint + Prettier configured |
| [ ] CI pipeline with tests |
| [ ] Semantic versioning |
| |
| COMMUNITY |
| [ ] CONTRIBUTING.md guide |
| [ ] Issue templates |
| [ ] Code of conduct |
| [ ] License file (MIT recommended) |
| [ ] Changelog maintained |
| |
| DISTRIBUTION |
| [ ] Published to npm |
| [ ] Docker image available |
| [ ] Installation documented |
| [ ] Version compatibility noted |
| |
+-----------------------------------------------------------------------+
Reference: “Producing Open Source Software” by Karl Fogel - Chapters 2-3
4.4 Designing for LLM Consumption
This is unique to AI tools:
- The “user” of your API is an LLM, not a human
- Descriptions must be clear and unambiguous
- Examples help the LLM understand usage
- Error messages should guide correction
+-----------------------------------------------------------------------+
| TOOL DESCRIPTION BEST PRACTICES |
+-----------------------------------------------------------------------+
| |
| BAD DESCRIPTION: |
| +-------------------------------------------------------------------+|
| | "Stores data" ||
| +-------------------------------------------------------------------+|
| |
| GOOD DESCRIPTION: |
| +-------------------------------------------------------------------+|
| | "Store a key-value pair in persistent memory. Use this when the ||
| | user asks you to remember something for future sessions. ||
| | ||
| | The key should be a descriptive identifier like ||
| | 'preferences.editor' or 'project.context.main'. ||
| | ||
| | The value can be any string. Include relevant context. ||
| | ||
| | Example: store('preferences.css', 'User prefers Tailwind') ||
| | ||
| | Returns: { success: true, key: string, timestamp: ISO8601 }" ||
| +-------------------------------------------------------------------+|
| |
+-----------------------------------------------------------------------+
5. Questions to Guide Your Design
Before implementing, think through these:
5.1 Gap Identification
- What do you wish Claude Code could do?
- Review your last month of usage
- What tasks required workarounds?
- What would make you 2x faster?
- What workflows are awkward?
- Multi-step processes that should be one command
- Information that should persist but does not
- External systems that should be integrated
- What integrations are missing?
- Development tools you use
- Services your team depends on
- Data sources you reference frequently
5.2 Design Choices
- Should this be an MCP server, hook, skill, or tool?
+-----------------------------------------------------------------------+
| EXTENSION TYPE DECISION TREE |
+-----------------------------------------------------------------------+
| |
| Does it need to interact with external services? |
| | |
| +-- YES --> MCP SERVER |
| | (Tools, Resources, or both) |
| | |
| +-- NO --> Does it intercept Claude Code events? |
| | |
| +-- YES --> HOOK |
| | (Pre/Post tool use, etc.) |
| | |
| +-- NO --> Is it a reusable workflow? |
| | |
| +-- YES --> SKILL |
| | (SKILL.md) |
| | |
| +-- NO --> OUTPUT STYLE |
| (System prompt mod) |
| |
+-----------------------------------------------------------------------+
- What is the minimal viable implementation?
- Start with the simplest version
- Add complexity only when needed
- Ship early, iterate often
- How do you make it extensible?
- Plugin architecture?
- Configuration options?
- Clear extension points?
5.3 Community Fit
- Would others want this?
- Search for similar requests
- Ask in community forums
- Look at related tools
- How do you make it discoverable?
- Clear naming
- Good documentation
- Example use cases
- What is your maintenance commitment?
- Time for bug fixes?
- Responding to issues?
- Keeping up with MCP changes?
6. Thinking Exercise: Identify Extension Opportunities
Review your Claude Code usage patterns:
Audit Your Usage
+-----------------------------------------------------------------------+
| USAGE PATTERN AUDIT |
+-----------------------------------------------------------------------+
| |
| Things I do repeatedly: |
| +-------------------------------------------------------------------+|
| | 1. ________________________________________________ ||
| | 2. ________________________________________________ ||
| | 3. ________________________________________________ ||
| +-------------------------------------------------------------------+|
| |
| Things that are awkward: |
| +-------------------------------------------------------------------+|
| | 1. ________________________________________________ ||
| | 2. ________________________________________________ ||
| +-------------------------------------------------------------------+|
| |
| Things I wish existed: |
| +-------------------------------------------------------------------+|
| | 1. ________________________________________________ ||
| | 2. ________________________________________________ ||
| +-------------------------------------------------------------------+|
| |
+-----------------------------------------------------------------------+
Evaluation Criteria
For each item, ask:
- Could this be automated?
- Does it need new capabilities?
- Would it benefit others?
- Is it within my skills to build?
- Is there existing similar work?
7. The Interview Questions They Will Ask
Prepare to answer these:
-
“How did you identify the need for this extension?”
Think about: Usage patterns, pain points, community feedback, comparison with similar tools
-
“What was your design process for the API?”
Think about: Unix philosophy, composability, progressive disclosure, error handling
-
“How do you handle backward compatibility?”
Think about: Semantic versioning, deprecation policy, migration guides, breaking change communication
-
“What is your testing strategy for a tool that AI uses?”
Think about: Unit tests, integration tests, prompt testing, real-world usage testing
-
“How do you document features for LLM consumption?”
Think about: Clear descriptions, examples, edge cases, common mistakes
8. Hints in Layers
Only read when stuck:
Hint 1: Start with Your Pain
Build something you actually need. Dogfooding ensures quality.
// Your daily workflow reveals the best opportunities
// Example: You always forget project context between sessions
// Solution: Build a memory MCP
const memory = {
store: (key: string, value: string) => { /* ... */ },
recall: (query: string) => { /* ... */ },
list: () => { /* ... */ }
};
Hint 2: Study Existing MCPs
Look at the GitHub MCP, filesystem MCP, and others for patterns.
# Clone and study existing servers
git clone https://github.com/modelcontextprotocol/servers
# Look at structure
ls servers/src/
# - github/
# - filesystem/
# - slack/
# etc.
Hint 3: Description Matters Most
The tool description is what Claude sees. Make it clear what your tool does and when to use it.
{
name: "memory_store",
description: `Store information that should persist across sessions.
Use this tool when:
- User explicitly asks to "remember" something
- User states a preference that should persist
- Important context would be useful in future sessions
Parameters:
- key: Hierarchical identifier (e.g., "preferences.editor.theme")
- value: The information to store
- context: Why this is being stored (helps with recall)
Example:
User: "Remember that I prefer dark mode"
Call: memory_store("preferences.theme", "dark", "User stated preference")`,
inputSchema: { /* ... */ }
}
Hint 4: Test with Real Prompts
The best test is asking Claude to use your tool in natural conversation.
// Test scenarios to run
const testScenarios = [
"Remember that I prefer TypeScript",
"What did I tell you about CSS frameworks?",
"Forget my editor preferences",
"What do you remember about my coding style?"
];
// Run each and verify correct tool usage
9. Books That Will Help
| Topic | Book | Chapters | Why It Helps |
|---|---|---|---|
| API Design | “APIs You Won’t Hate” by Sturgeon | Ch. 3-4 | Designing usable APIs |
| Open Source | “Producing Open Source Software” by Fogel | Ch. 2-3 | Community and contribution |
| Tool Design | “The Art of Unix Programming” by Raymond | Ch. 1, 4 | Philosophy and patterns |
| Language Design | “Structure and Interpretation of Computer Programs” | Ch. 1-2 | Abstraction and composition |
| Extensibility | “Design Patterns” by Gang of Four | Ch. 1, 3 | Plugin architectures |
10. MCP Server Implementation Guide
10.1 Basic Server Structure
import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import {
ListToolsRequestSchema,
CallToolRequestSchema,
ListResourcesRequestSchema,
ReadResourceRequestSchema
} from "@modelcontextprotocol/sdk/types.js";
// Create server instance
const server = new Server(
{
name: "your-mcp-server",
version: "1.0.0",
},
{
capabilities: {
tools: {}, // Enable tools
resources: {}, // Enable resources
},
}
);
// List available tools
server.setRequestHandler(ListToolsRequestSchema, async () => {
return {
tools: [
{
name: "your_tool",
description: "Clear description for Claude to understand when to use this",
inputSchema: {
type: "object",
properties: {
param1: {
type: "string",
description: "What this parameter is for"
},
param2: {
type: "number",
description: "Optional numeric parameter",
default: 10
}
},
required: ["param1"]
}
}
]
};
});
// Handle tool calls
server.setRequestHandler(CallToolRequestSchema, async (request) => {
const { name, arguments: args } = request.params;
switch (name) {
case "your_tool":
const result = await yourToolLogic(args.param1, args.param2);
return {
content: [{
type: "text",
text: JSON.stringify(result, null, 2)
}]
};
default:
throw new Error(`Unknown tool: ${name}`);
}
});
// Start server
async function main() {
const transport = new StdioServerTransport();
await server.connect(transport);
}
main();
10.2 Complete Memory Server Example
import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import Database from 'better-sqlite3';
interface MemoryEntry {
key: string;
value: string;
context: string;
timestamp: string;
accessCount: number;
}
class MemoryStore {
private db: Database.Database;
constructor(dbPath: string) {
this.db = new Database(dbPath);
this.initialize();
}
private initialize() {
this.db.exec(`
CREATE TABLE IF NOT EXISTS memories (
key TEXT PRIMARY KEY,
value TEXT NOT NULL,
context TEXT,
created_at TEXT DEFAULT CURRENT_TIMESTAMP,
updated_at TEXT DEFAULT CURRENT_TIMESTAMP,
access_count INTEGER DEFAULT 0
)
`);
// Full-text search for semantic recall
this.db.exec(`
CREATE VIRTUAL TABLE IF NOT EXISTS memories_fts USING fts5(
key, value, context,
content='memories',
content_rowid='rowid'
)
`);
}
store(key: string, value: string, context?: string): MemoryEntry {
const stmt = this.db.prepare(`
INSERT OR REPLACE INTO memories (key, value, context, updated_at)
VALUES (?, ?, ?, CURRENT_TIMESTAMP)
`);
stmt.run(key, value, context || '');
// Update FTS index
this.db.prepare(`
INSERT OR REPLACE INTO memories_fts (rowid, key, value, context)
SELECT rowid, key, value, context FROM memories WHERE key = ?
`).run(key);
return this.get(key)!;
}
get(key: string): MemoryEntry | null {
const row = this.db.prepare(`
SELECT key, value, context, created_at as timestamp, access_count
FROM memories WHERE key = ?
`).get(key) as any;
if (row) {
// Increment access count
this.db.prepare(`
UPDATE memories SET access_count = access_count + 1 WHERE key = ?
`).run(key);
}
return row || null;
}
search(query: string, limit: number = 10): MemoryEntry[] {
return this.db.prepare(`
SELECT m.key, m.value, m.context, m.created_at as timestamp, m.access_count
FROM memories_fts f
JOIN memories m ON f.rowid = m.rowid
WHERE memories_fts MATCH ?
ORDER BY rank
LIMIT ?
`).all(query, limit) as MemoryEntry[];
}
list(): MemoryEntry[] {
return this.db.prepare(`
SELECT key, value, context, created_at as timestamp, access_count
FROM memories
ORDER BY updated_at DESC
`).all() as MemoryEntry[];
}
forget(key: string): boolean {
const result = this.db.prepare(`
DELETE FROM memories WHERE key = ?
`).run(key);
this.db.prepare(`
DELETE FROM memories_fts WHERE key = ?
`).run(key);
return result.changes > 0;
}
}
// Server setup
const store = new MemoryStore(
process.env.MEMORY_DB_PATH || './claude-memory.db'
);
const server = new Server(
{ name: "mcp-memory", version: "1.0.0" },
{ capabilities: { tools: {} } }
);
server.setRequestHandler(ListToolsRequestSchema, async () => ({
tools: [
{
name: "memory_store",
description: `Store information that should persist across Claude Code sessions.
Use this when:
- User asks to "remember" something
- User states a preference that should persist
- Important project context should be saved
The key should be hierarchical like "preferences.editor.theme" or "project.myapp.context".
Include relevant context about why this is being stored.`,
inputSchema: {
type: "object",
properties: {
key: {
type: "string",
description: "Hierarchical identifier (e.g., 'preferences.editor')"
},
value: {
type: "string",
description: "The information to store"
},
context: {
type: "string",
description: "Why this is being stored (helps with recall)"
}
},
required: ["key", "value"]
}
},
{
name: "memory_recall",
description: `Search for previously stored memories.
Use this when:
- User asks what you remember about something
- You need context from a previous session
- Looking for user preferences
The query uses full-text search, so use relevant keywords.`,
inputSchema: {
type: "object",
properties: {
query: {
type: "string",
description: "Search query for memories"
},
limit: {
type: "number",
description: "Maximum results to return",
default: 5
}
},
required: ["query"]
}
},
{
name: "memory_get",
description: "Get a specific memory by its exact key.",
inputSchema: {
type: "object",
properties: {
key: {
type: "string",
description: "The exact key to retrieve"
}
},
required: ["key"]
}
},
{
name: "memory_list",
description: "List all stored memories, ordered by most recently updated.",
inputSchema: {
type: "object",
properties: {}
}
},
{
name: "memory_forget",
description: "Delete a specific memory. Use when user asks to forget something.",
inputSchema: {
type: "object",
properties: {
key: {
type: "string",
description: "The key to delete"
}
},
required: ["key"]
}
}
]
}));
server.setRequestHandler(CallToolRequestSchema, async (request) => {
const { name, arguments: args } = request.params;
switch (name) {
case "memory_store": {
const entry = store.store(args.key, args.value, args.context);
return {
content: [{
type: "text",
text: `Stored memory with key "${entry.key}" at ${entry.timestamp}`
}]
};
}
case "memory_recall": {
const results = store.search(args.query, args.limit || 5);
if (results.length === 0) {
return {
content: [{
type: "text",
text: `No memories found matching "${args.query}"`
}]
};
}
return {
content: [{
type: "text",
text: JSON.stringify(results, null, 2)
}]
};
}
case "memory_get": {
const entry = store.get(args.key);
if (!entry) {
return {
content: [{
type: "text",
text: `No memory found with key "${args.key}"`
}]
};
}
return {
content: [{
type: "text",
text: JSON.stringify(entry, null, 2)
}]
};
}
case "memory_list": {
const entries = store.list();
return {
content: [{
type: "text",
text: JSON.stringify(entries, null, 2)
}]
};
}
case "memory_forget": {
const deleted = store.forget(args.key);
return {
content: [{
type: "text",
text: deleted
? `Deleted memory with key "${args.key}"`
: `No memory found with key "${args.key}"`
}]
};
}
default:
throw new Error(`Unknown tool: ${name}`);
}
});
// Start
const transport = new StdioServerTransport();
server.connect(transport);
11. Implementation Milestones
Milestone 1: Basic MCP Server Works (Week 1-2)
Goal: Protocol understood and working
Deliverables:
- Server starts and connects to Claude
- At least one tool is callable
- Basic error handling
- Local testing works
Validation: Claude can call your tool in a conversation
Milestone 2: Claude Uses Your Tool Correctly (Week 3-6)
Goal: Design is good enough for LLM consumption
Deliverables:
- Tool descriptions refined
- Edge cases handled
- Error messages are helpful
- Multiple tools if needed
- Documentation written
Validation: Claude uses tool correctly in 10 different scenarios
Milestone 3: Others Install and Use It (Week 7-12)
Goal: Community value achieved
Deliverables:
- Published to npm
- README with quick start
- Examples documented
- Configuration options
- GitHub issues enabled
- First external user
Validation: Someone else successfully uses your MCP
12. Extension Ideas
If you need inspiration, consider these:
12.1 Memory Server (Shown Above)
Persistent context across sessions. Key features:
- Key-value storage
- Semantic search
- Memory decay for time-sensitive info
- Privacy-respecting local storage
12.2 Web Search Enhancement
Custom search with source ranking:
- Multiple search providers
- Source quality ranking
- Caching for repeated queries
- Domain filtering
12.3 Code Metrics Server
Complexity, coverage, dependency analysis:
- Cyclomatic complexity
- Test coverage integration
- Dependency graphs
- Tech debt estimation
12.4 Calendar Integration
Time-aware task scheduling:
- Read calendar events
- Suggest task timing
- Block focus time
- Meeting prep assistance
12.5 Knowledge Graph
Project relationships and dependencies:
- Entity extraction from codebase
- Relationship mapping
- Visual graph generation
- Cross-project linking
13. Quality Checklist
Before publishing, verify:
+-----------------------------------------------------------------------+
| PUBLICATION CHECKLIST |
+-----------------------------------------------------------------------+
| |
| CODE QUALITY |
| [ ] TypeScript with strict mode |
| [ ] All tools have clear descriptions |
| [ ] Error messages are actionable |
| [ ] 80%+ test coverage |
| [ ] No security vulnerabilities |
| |
| DOCUMENTATION |
| [ ] README with installation steps |
| [ ] All tools documented with examples |
| [ ] Configuration options explained |
| [ ] Troubleshooting section |
| [ ] Changelog maintained |
| |
| DISTRIBUTION |
| [ ] package.json complete |
| [ ] npm publish tested |
| [ ] GitHub releases with notes |
| [ ] License file present |
| |
| TESTING |
| [ ] Unit tests pass |
| [ ] Integration tests with Claude |
| [ ] Tested on different platforms |
| [ ] Edge cases covered |
| |
+-----------------------------------------------------------------------+
14. Success Criteria
You have mastered this project when:
- Your MCP server is published to npm
- At least 10 people have installed it
- Claude uses your tools correctly without guidance
- You have handled at least one bug report
- Documentation is clear enough for self-service
- You can explain your design decisions
- You have contributed to the MCP ecosystem
Source
This project is part of the Claude Code Mastery: 40 Projects learning path.