Power your agent
การติดตั้งจากผู้เผยแพร่ ไม่ใช่เอนด์พอยต์ของ PlugMCP
URL แบบรีโมตหรือคำสั่งบนเครื่องของคุณ? การติดตั้งสองแบบต่างกันอย่างไร
รันบน PlugMCP
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
เปิดจากผู้เผยแพร่
You know the feeling. Day one on a new codebase. Deadline in two weeks.
You need to find "where authentication happens" but the function is called validateSessionToken(). Grep for "auth" and you get nothing. You spend 20 minutes clicking through files, afraid to touch anything because you don't know what might break.
Code-search platform for AI coding agents: vector search fused with BM25 keyword scoring and reranking, tree-sitter AST chunking, a web app, a REST API and a 12-tool MCP server.
Traditional code search matches text, not meaning. You have to already know what you're looking for to find it.
OpenCodeIntel understands your code the way you do. Search by what code does, not what it's named.
You search: "authentication logic"
It finds: validateSessionToken(), checkJWT(), authMiddleware.ts
You search: "where we handle payments"
It finds: stripe/checkout.ts, processRefund(), PaymentService
You search: "error handling"
It finds: catch blocks, onError(), processFailure()
No regex. No exact matches. Just describe what you're looking for.
Search by meaning, not keywords. Find that function even when you don't know its name.
Visualize how your files connect. Understand the architecture at a glance.
About to change auth.ts? Know exactly what breaks before you touch it.
Understand your team's patterns. snake_case or camelCase? How are errors handled? Match conventions instantly.
Connect as an MCP server. Your AI assistant gets real context about your codebase, not just the file you have open.
The retrieval design came out of a week of experiments in December 2025, published with every query set, raw result and the day-by-day log: OpenCodeIntel/retrieval-research.
The headline result is 94% average Hit@1 across 14 open-source codebases (665 queries), using BM25 and embedding fusion with Voyage rerank-2 on top. Most of those queries were generated from function names, so read the caveats in that README before quoting the number. Production search uses a different reranker and is measured by its own regression eval in backend/evals.
Go to opencodeintel.com, connect your GitHub, and start searching in under a minute.
git clone https://github.com/OpenCodeIntel/opencodeintel.git
cd opencodeintel
cp .env.example .env
# Add your OpenAI + Pinecone API keys
docker compose up -d
Open localhost:3000. Done.
Requirements: Python 3.11+, Node.js 20+, Redis
# Backend
cd backend
python -m venv venv && source venv/bin/activate
pip install -r requirements.txt
python main.py
# Frontend (new terminal) - MUST use Bun!
cd frontend
bun install && bun run dev
Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": {
"opencodeintel": {
"command": "python",
"args": ["/path/to/opencodeintel/mcp-server/server.py"],
"env": {
"BACKEND_API_URL": "http://localhost:8000",
"API_KEY": "your-api-key"
}
}
}
}
I got tired of grep.
Every time I joined a new project or inherited a codebase, I spent hours just figuring out where things lived. The original authors were gone. The docs were outdated. And I was scared to change anything because I couldn't see what depended on what.
I wanted code search that actually understood what code does. Not pattern matching on text. Something that could answer "where do we handle user sessions?" without me already knowing the answer.
OpenCodeIntel is the tool I wish I had. It's open source because I think every developer deserves to understand their code, not just those at companies with dedicated platform teams.
Want to influence the roadmap? Open an issue.
Found a bug? Open an issue
Have an idea? Request a feature
Want to contribute code? See CONTRIBUTING.md
Code-search platform for AI coding agents: vector search fused with BM25 keyword scoring and reranking, tree-sitter AST chunking, a web app, a REST API and a 12-tool MCP server.
เครื่องมือ
ยังไม่มีรายการเครื่องมือ เซิร์ฟเวอร์แบบรีโมตจะได้รายการหลังการตรวจสอบสถานะครั้งแรก
FAQ
คัดลอกคอนฟิก stdio สำหรับ Cursor, Claude Desktop, Claude Code หรือ VS Code ได้ในหน้านี้ คอนฟิกนี้ใช้การติดตั้งของผู้เผยแพร่ ไม่ใช่พร็อกซีของ PlugMCP
ระเบียนนี้ไม่ได้ระบุตัวแปรสภาพแวดล้อมที่จำเป็น
Opencodeintel ทำงานแบบโลคัลผ่าน stdio
ตรวจสอบล่าสุดเมื่อ 2026-10-28 Code-search platform for AI coding agents: vector search fused with BM25 keyword scoring and reranking, tree-sitter AST chunking, a web app, a REST API and a 12-tool MCP server.