
musaceylan/claude-intel-mcp
Developer toolsAI-powered MCP server that continuously improves Claude Code by learning from high-signal GitHub repositories — auto-evolving developer intelligence layer
Overview
An auto-evolving developer intelligence layer for Claude Code. claude-intel-mcp continuously scans high-signal GitHub repositories, extracts patterns, compares them against your local project, and proposes safe improvements to your CLAUDE.md — keeping your Claude Code setup ahead of the curve. Add to your Claude Code ~/.claude/settings.json: Scan GitHub for high-signal repositories related to Claude Code, MCP servers, and AI workflows. Returns: ranked repos with relevance scores, category breakdowns, and signals. Rank a provided list of GitHub repos by relevance to Claude Code development. Compare an external repo's patterns against your local project. Identifies gaps, enhancements, and conflicts. Returns: gap analysis with severity levels, enhancement opportunities, conflicts, and fit score.
README
claude-intel-mcp
An auto-evolving developer intelligence layer for Claude Code.
claude-intel-mcp continuously scans high-signal GitHub repositories, extracts patterns, compares them against your local project, and proposes safe improvements to your CLAUDE.md — keeping your Claude Code setup ahead of the curve.
Architecture
┌──────────────────────────────────────────────────────────────┐
│ claude-intel-mcp │
│ │
│ ┌─────────────────────────────────────────────────────┐ │
│ │ MCP Server (stdio) │ │
│ │ ├── Tools (7) ├── Resources (7) ├── Prompts (2)│ │
│ └──────────────────────────────────────────────────────┘ │
│ │ │
│ ┌─────────▼─────────────────────────────────────┐ │
│ │ Core Engine │ │
│ │ ├── GithubClient (API + rate limiting) │ │
│ │ ├── GithubCollector (multi-query search) │ │
│ │ ├── RepoClassifier (hype/abandoned/mcp...) │ │
│ │ ├── RelevanceScorer (5-factor, 0-1 score) │ │
│ │ ├── PatternExtractor (CLAUDE.md/MCP/config) │ │
│ │ ├── PatternMemory (SQLite, deduped) │ │
│ │ ├── DnaProfiler (local stack detection) │ │
│ │ ├── Comparator (gap/enhancement analysis) │ │
│ │ ├── SuggestionEngine (micro/meso/macro) │ │
│ │ ├── PatchBuilder (safe unified diffs) │ │
│ │ ├── UpdatePlanner (phased update plans) │ │
│ │ └── LearningLog (SQLite audit trail) │ │
│ └───────────────────────────────────────────────┘ │
│ │
│ ┌─────────────────────────────┐ │
│ │ Storage (~/.claude-intel/) │ │
│ │ ├── patterns.db │ │
│ │ ├── learning.db │ │
│ │ ├── backups/ │ │
│ │ └── claude-intel.log │ │
│ └─────────────────────────────┘ │
└──────────────────────────────────────────────────────────────┘
Installation
Option 1: Clone & Build (recommended for hacking)
git clone [email protected]:musaceylan/claude-intel-mcp.git
cd claude-intel-mcp
npm install
npm run build
Option 2: Run with tsx (development)
npm run dev
Configuration
Set in your environment or .env:
| Variable | Default | Description |
|---|---|---|
GITHUB_TOKEN |
— | GitHub personal access token (60→5000 req/hr) |
GITHUB_API_BASE |
https://api.github.com |
Override for GitHub Enterprise |
MAX_REPOS_PER_SCAN |
50 |
Max repos to collect per scan |
SCAN_INTERVAL_HOURS |
24 |
Interval for scheduled scans |
MIN_RELEVANCE_SCORE |
0.6 |
Minimum score to include a repo |
LOCAL_REPO_PATH |
process.cwd() |
Path to your local repository |
CLAUDE_INTEL_DATA_DIR |
~/.claude-intel |
Where to store DB and logs |
LOG_LEVEL |
info |
debug / info / warn / error |
MCP Configuration
Add to your Claude Code ~/.claude/settings.json:
{
"mcpServers": {
"claude-intel": {
"command": "node",
"args": ["/path/to/claude-intel-mcp/dist/index.js"],
"env": {
"GITHUB_TOKEN": "ghp_your_token_here",
"LOCAL_REPO_PATH": "/path/to/your/project"
}
}
}
}
Or with npx (after publishing):
{
"mcpServers": {
"claude-intel": {
"command": "npx",
"args": ["claude-intel-mcp"],
"env": {
"GITHUB_TOKEN": "ghp_your_token_here"
}
}
}
}
Tools
scan_github_trends
Scan GitHub for high-signal repositories related to Claude Code, MCP servers, and AI workflows.
{
"topics": ["mcp", "claude"],
"minScore": 0.5,
"maxRepos": 20,
"includeReadme": false
}
Returns: ranked repos with relevance scores, category breakdowns, and signals.
rank_repositories
Rank a provided list of GitHub repos by relevance to Claude Code development.
{
"repos": [...githubRepoObjects],
"readmes": { "owner/repo": "readme content" }
}
compare_with_local_repo
Compare an external repo’s patterns against your local project. Identifies gaps, enhancements, and conflicts.
{
"repoFullName": "anthropic/anthropic-sdk-python",
"localPath": "/path/to/your/project"
}
Returns: gap analysis with severity levels, enhancement opportunities, conflicts, and fit score.
generate_claude_md_patch
Build unified diff patches for CLAUDE.md based on suggestions. Non-destructive by design.
{
"suggestions": [...suggestionObjects],
"dryRun": true
}
Returns: patch previews with diffs, destructiveness flags, and review requirements.
apply_safe_updates
Apply a safe patch to CLAUDE.md. Requires confirm: true. Creates automatic backup.
{
"suggestion": { ...suggestionObject },
"confirm": true
}
Safety: only micro-level suggestions can be auto-applied. Macro/meso require manual review.
generate_suggestions
Run a full scan → classify → compare pipeline and return improvement suggestions.
{
"maxRepos": 10,
"localPath": "/path/to/project"
}
create_update_plan
Create a phased update plan from suggestions.
{
"suggestions": [...suggestionObjects]
}
Returns: 3-phase plan (micro → meso → macro) with effort estimates and risks.
Resources
| URI | Description |
|---|---|
github://latest-trends |
Most recent scan results |
github://ranked-repos |
Current ranked repo list |
local://dna-profile |
Detected stack, languages, frameworks |
local://gap-analysis |
Identified gaps vs best practices |
local://claude-md-current |
Current CLAUDE.md content |
local://claude-md-proposed |
Proposed additions |
audit://learning-log |
Historical audit trail |
Prompts
rewrite_claude_md
Generates a prompt asking Claude to intelligently rewrite your CLAUDE.md incorporating analysis findings.
summarize_insights
Generates an executive summary prompt for all scan and analysis findings.
Typical Workflow
1. scan_github_trends → find relevant repos
2. compare_with_local_repo → analyze top repos vs local
3. generate_suggestions → get improvement list
4. generate_claude_md_patch → preview diffs (dryRun=true)
5. apply_safe_updates → apply when satisfied (confirm=true)
6. Use prompt: summarize_insights → get executive summary
Running Tests
npm test
npm run test:watch
Building
npm run build # TypeScript → dist/
npm run typecheck # Type check only
npm run lint # ESLint
Safety Guarantees
- Never destructive: patches only append, never remove existing content
- Always backs up: creates
.bakfile before any write - Requires confirmation:
apply_safe_updatesneeds explicitconfirm: true - Level gating: only
micro(CLAUDE.md) suggestions auto-apply;meso/macrorequire manual review - Annotated additions: all AI-suggested content is marked with ``
License
MIT
Install
npx claude-intel-mcpConfiguration
{
"mcpServers": {
"claude-intel": {
"command": "node",
"args": ["/path/to/claude-intel-mcp/dist/index.js"],
"env": {
"GITHUB_TOKEN": "ghp_your_token_here",
"LOCAL_REPO_PATH": "/path/to/your/project"
}
}
}
}