Install
$ agentstack add mcp-omarkamali-semango ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- âś“ Prompt-injection patterns
- âś“ Secret / credential exfiltration
- âś“ Dangerous shell & filesystem operations
- âś“ Untrusted network calls
- âś“ Known-malicious package signatures
What it can access
- â—Ź Network access Used
- âś“ Filesystem access No
- âś“ Shell / process execution No
- â—Ź Environment & secrets Used
- âś“ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
🥠Semango
[](https://github.com/omarkamali/semango/actions/workflows/ci.yml) [](https://go.dev/) [](https://opensource.org/licenses/MIT)
🥠Semango is a hybrid search engine that combines lexical (BM25) and semantic (vector) search. Index your codebase and docs and search with natural language queries.
Website & docs: https://semango.org
Features
- Hybrid Search: Combines BM25 lexical search (Bleve) with vector similarity (FAISS)
- Multi-format Ingestion: Markdown/text, code (plain text), PDFs, CSV/JSON/JSONL, Parquet, SQLite, Excel
- Incremental Indexing: Only re-indexes files that have changed (by mtime + size), making subsequent runs near-instant
- Embedding Providers: OpenAI-compatible API or local ONNX models
- GPU Acceleration: Built-in support for CUDA-accelerated local embeddings
- MCP Server: Model Context Protocol support for LLM tool-use (stdio and SSE transports)
- Web UI: Embedded React-based search interface with dark mode
- REST API: Lightweight HTTP API for programmatic access
- Graceful Shutdown: Clean Ctrl+C handling across all commands
- Single Binary: Self-contained executable with embedded UI assets
Installation
Download Binary
# macOS / Linux
curl -L "https://github.com/omarkamali/semango/releases/latest/download/semango_$(uname -s | tr '[:upper:]' '[:lower:]')_$(uname -m).tar.gz" | tar xz
sudo mv semango /usr/local/bin/
Docker
docker pull ghcr.io/omarkamali/semango:latest
docker run -p 8181:8181 -v $(pwd):/data ghcr.io/omarkamali/semango:latest
Build from Source
Requires Go 1.23+, Node.js 20+, and CGO dependencies (FAISS, OpenBLAS).
git clone https://github.com/omarkamali/semango.git
cd semango
make build
Quick Start
# 1. Initialize configuration
semango init
# 2. Index your content
semango index
# 3. Start the server (includes web UI + auto-reconciliation)
semango server
Open http://localhost:8181 for the web UI, or query the API:
curl -X POST http://localhost:8181/search \
-H "Authorization: Bearer your-secret-token" \
-H "Content-Type: application/json" \
-d '{"query": "how does authentication work", "top_k": 5}'
CLI Commands
| Command | Description | |---------|-------------| | semango init | Create a default semango.yml config file | | semango index | Index files (incremental — skips unchanged files) | | semango index stats | Show indexing statistics (document counts) | | semango search | Search from the command line | | semango server | Start the HTTP server with UI and periodic reconciliation | | semango mcp stdio | Start an MCP server over stdin/stdout | | semango mcp sse | Start an MCP server over HTTP/SSE | | semango models list | List available local ONNX models | | semango version | Print version information |
> Tip: Running semango index a second time without file changes completes instantly — only modified files are re-embedded and re-indexed.
## Configuration
Semango uses `semango.yml` for configuration. Key options:
```yaml
embedding:
provider: openai # or "local" for ONNX models
model: text-embedding-3-large
# Optional: base_url, api_key, api_key_env, base_url_env
lexical:
enabled: true
index_path: ./semango/index/bleve
hybrid:
vector_weight: 0.7
lexical_weight: 0.3
fusion: linear # or "rrf"
files:
include:
- '**/*.md'
- '**/*.go'
- '**/*.pdf'
exclude:
- .git/**
- node_modules/**
server:
port: 8181
auth:
type: token
token_env: SEMANGO_TOKENS
See [docs/SEMANGOGUIDE.md](docs/SEMANGOGUIDE.md) for the complete configuration reference.
Environment Variables
| Variable | Description | Default / Optional | |----------|-------------|--------------------| | SEMANGO_TOKENS | Comma-separated list of valid API tokens | Parsed but not enforced yet | | OPENAI_API_KEY | API key to use when provider: openai | Used if api_key or api_key_env not set | | OPENAI_BASE_URL | Base URL for OpenAI-compatible APIs | Defaults to OpenAI official endpoint | | SEMANGO_ENV_FILE | Path to .env file to load | Defaults to .env | | SEMANGO_MODEL_DIR | Cache directory for local ONNX models | Defaults to ~/.cache/semango |
You can also customize which environment variables Semango looks for by setting api_key_env or base_url_env in your semango.yml.
MCP (Model Context Protocol)
Semango can act as an MCP server, letting LLMs use your indexed content as a search tool:
# stdio transport (for Claude Desktop, etc.)
semango mcp stdio --config semango.yml
# SSE transport (HTTP-based, for remote clients)
semango mcp sse --host 0.0.0.0 --port 8080 --config semango.yml
Documentation
- https://semango.org/guide/
- [Local Embeddings](docs/LOCAL_EMBEDDER.md) — Using local ONNX models
- [Tabular Data](docs/tabular.md) — Ingesting CSV/JSON/JSONL/Parquet/SQLite/Excel files
- [MCP Integration](docs/guide/mcp.md) — Using Semango with LLMs
Online: https://semango.org
Contributing
Contributions are welcome! Please see [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines.
License
[MIT License](LICENSE).
Author
Built by Omar Kamali (https://omarkamali.com) — Omneity Labs (https://omneitylabs.com)
Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: omarkamali
- Source: omarkamali/semango
- License: MIT
- Homepage: http://semango.org/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.