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A super light-weight embedded code mcp (AST based) that just works - saves 70% token and improves speed for coding agent. 🌟 Star if you like it!

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cocoindex-io/cocoindex-code

cocoindex code

light weight MCP for code that just works

A super light-weight, effective embedded MCP (AST-based) that understand and searches your codebase that just works! Using CocoIndex - an Rust-based ultra performant data transformation engine. No blackbox. Works for Claude, Codex, Cursor - any coding agent.

  • Instant token saving by 70%.
  • 1 min setup - Just claude/codex mcp add works!

Discord GitHub Documentation License

PyPI Downloads CI release

🌟 Please help star CocoIndex if you like this project!

Deutsch | English | Español | français | 日本語 | 한국어 | Português | Русский | 中文

Get Started - zero config, let's go!!

Install uv if you don't have it.

curl -LsSf https://astral.sh/uv/install.sh | sh

Claude

claude mcp add cocoindex-code \
  -- uvx --prerelease=explicit --with "cocoindex>=1.0.0a22" cocoindex-code@latest

Codex

codex mcp add cocoindex-code \
  -- uvx --prerelease=explicit --with "cocoindex>=1.0.0a22" cocoindex-code@latest

OpenCode

opencode mcp add

Enter MCP server name: cocoindex-code Select MCP server type: local Enter command to run: uvx --prerelease=explicit --with cocoindex>=1.0.0a16 cocoindex-code@latest

Or use opencode.json:

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "cocoindex-code": {
      "type": "local",
      "command": [
        "uvx",
        "--prerelease=explicit",
        "--with",
        "cocoindex>=1.0.0a16",
        "cocoindex-code@latest"
      ]
    }
  }
}

Features

  • Semantic Code Search: Find relevant code using natural language queries when grep doesn't work well, and save tokens immediately.
  • Ultra Performant to code changes:⚡ Built on top of ultra performant Rust indexing engine. Only re-indexes changed files for fast updates.
  • Multi-Language Support: Python, JavaScript/TypeScript, Rust, Go, Java, C/C++, C#, SQL, Shell
  • Embedded: Portable and just works, no database setup required!
  • Flexible Embeddings: By default, no API key required with Local SentenceTransformers - totally free! You can customize 100+ cloud providers.

Configuration

Variable Description Default
COCOINDEX_CODE_ROOT_PATH Root path of the codebase Auto-discovered (see below)
COCOINDEX_CODE_EMBEDDING_MODEL Embedding model (see below) sbert/sentence-transformers/all-MiniLM-L6-v2

Root Path Discovery

If COCOINDEX_CODE_ROOT_PATH is not set, the codebase root is discovered by:

  1. Finding the nearest parent directory containing .cocoindex_code/
  2. Finding the nearest parent directory containing .git/
  3. Falling back to the current working directory

Embedding model

By default - this project use a local SentenceTransformers model (sentence-transformers/all-MiniLM-L6-v2). No API key required and completely free!

Use a code specific embedding model can achieve better semantic understanding for your results, this project supports all models on Ollama and 100+ cloud providers.

Set COCOINDEX_CODE_EMBEDDING_MODEL to any LiteLLM-supported model, along with the provider's API key:

Ollama (Local)
claude mcp add cocoindex-code \
  -e COCOINDEX_CODE_EMBEDDING_MODEL=ollama/nomic-embed-text \
  -- uvx --prerelease=explicit --with "cocoindex>=1.0.0a22" cocoindex-code@latest

Set OLLAMA_API_BASE if your Ollama server is not at http://localhost:11434.

OpenAI
claude mcp add cocoindex-code \
  -e COCOINDEX_CODE_EMBEDDING_MODEL=text-embedding-3-small \
  -e OPENAI_API_KEY=your-api-key \
  -- uvx --prerelease=explicit --with "cocoindex>=1.0.0a22" cocoindex-code@latest
Azure OpenAI
claude mcp add cocoindex-code \
  -e COCOINDEX_CODE_EMBEDDING_MODEL=azure/your-deployment-name \
  -e AZURE_API_KEY=your-api-key \
  -e AZURE_API_BASE=https://your-resource.openai.azure.com \
  -e AZURE_API_VERSION=2024-06-01 \
  -- uvx --prerelease=explicit --with "cocoindex>=1.0.0a22" cocoindex-code@latest
Gemini
claude mcp add cocoindex-code \
  -e COCOINDEX_CODE_EMBEDDING_MODEL=gemini/text-embedding-004 \
  -e GEMINI_API_KEY=your-api-key \
  -- uvx --prerelease=explicit --with "cocoindex>=1.0.0a22" cocoindex-code@latest
Mistral
claude mcp add cocoindex-code \
  -e COCOINDEX_CODE_EMBEDDING_MODEL=mistral/mistral-embed \
  -e MISTRAL_API_KEY=your-api-key \
  -- uvx --prerelease=explicit --with "cocoindex>=1.0.0a22" cocoindex-code@latest
Voyage (Code-Optimized)
claude mcp add cocoindex-code \
  -e COCOINDEX_CODE_EMBEDDING_MODEL=voyage/voyage-code-3 \
  -e VOYAGE_API_KEY=your-api-key \
  -- uvx --prerelease=explicit --with "cocoindex>=1.0.0a22" cocoindex-code@latest
Cohere
claude mcp add cocoindex-code \
  -e COCOINDEX_CODE_EMBEDDING_MODEL=cohere/embed-english-v3.0 \
  -e COHERE_API_KEY=your-api-key \
  -- uvx --prerelease=explicit --with "cocoindex>=1.0.0a22" cocoindex-code@latest
AWS Bedrock
claude mcp add cocoindex-code \
  -e COCOINDEX_CODE_EMBEDDING_MODEL=bedrock/amazon.titan-embed-text-v2:0 \
  -e AWS_ACCESS_KEY_ID=your-access-key \
  -e AWS_SECRET_ACCESS_KEY=your-secret-key \
  -e AWS_REGION_NAME=us-east-1 \
  -- uvx --prerelease=explicit --with "cocoindex>=1.0.0a22" cocoindex-code@latest
Nebius
claude mcp add cocoindex-code \
  -e COCOINDEX_CODE_EMBEDDING_MODEL=nebius/BAAI/bge-en-icl \
  -e NEBIUS_API_KEY=your-api-key \
  -- uvx --prerelease=explicit --with "cocoindex>=1.0.0a22" cocoindex-code@latest

Any model supported by LiteLLM works — see the full list of embedding providers.

MCP Tools

search

Search the codebase using semantic similarity.

search(
    query: str,               # Natural language query or code snippet
    limit: int = 10,          # Maximum results (1-100)
    offset: int = 0,          # Pagination offset
    refresh_index: bool = True  # Refresh index before querying
)

The refresh_index parameter controls whether the index is refreshed before searching:

  • True (default): Refreshes the index to include any recent changes
  • False: Skip refresh for faster consecutive queries

Returns matching code chunks with:

  • File path
  • Language
  • Code content
  • Line numbers (start/end)
  • Similarity score

Supported Languages

Language Aliases File Extensions
c .c
cpp c++ .cpp, .cc, .cxx, .h, .hpp
csharp csharp, cs .cs
css .css, .scss
dtd .dtd
fortran f, f90, f95, f03 .f, .f90, .f95, .f03
go golang .go
html .html, .htm
java .java
javascript js .js
json .json
kotlin .kt, .kts
markdown md .md, .mdx
pascal pas, dpr, delphi .pas, .dpr
php .php
python .py
r .r
ruby .rb
rust rs .rs
scala .scala
solidity .sol
sql .sql
swift .swift
toml .toml
tsx .tsx
typescript ts .ts
xml .xml
yaml .yaml, .yml

Common generated directories are automatically excluded:

  • __pycache__/
  • node_modules/
  • target/
  • dist/
  • vendor/ (Go vendored dependencies, matched by domain-based child paths)

Large codebase / Enterprise

CocoIndex is an ultra effecient indexing engine that also works on large codebase at scale on XXX G for enterprises. In enterprise scenarios it is a lot more effecient to do index share with teammates when there are large repo or many repos. We also have advanced features like branch dedupe etc designed for enterprise users.

If you need help with remote setup, please email our maintainer linghua@cocoindex.io, happy to help!!

License

Apache-2.0

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A super light-weight embedded code mcp (AST based) that just works - saves 70% token and improves speed for coding agent. 🌟 Star if you like it!

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