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MCP server for Manticore Search — lets AI assistants query and manage search databases.
About
MCP server for Manticore Search — lets AI assistants query and manage search databases.
Security Report
Valid MCP server (1 strong, 4 medium validity signals). 5 known CVEs in dependencies (1 critical, 3 high severity) Package registry verified. Imported from the Official MCP Registry.
5 files analyzed · 6 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
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How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-manticoresoftware-mcp-manticore": {
"args": [
"mcp-manticore"
],
"command": "uvx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
Manticore Search MCP Server
MCP server for Manticore Search — enables AI assistants to query and manage Manticore Search databases directly.
Quick Start
Installation
# Option 1: Install with uv (recommended, requires PyPI release)
uvx mcp-manticore
# Option 2: Install with pip
pip install mcp-manticore
# Option 3: Run from source (for local development)
uvx --from . mcp-manticore
# Or: uv run mcp-manticore
Note:
uvxruns the package directly without installation. First-time run may take a moment to download dependencies.- The package must be published to PyPI for
uvx mcp-manticoreto work.- For local development or testing unreleased versions, use
uvx --from . mcp-manticore
What It Does
Tools
| Tool | Description |
|---|---|
run_query | Execute SQL queries (SELECT, SHOW, DESCRIBE, etc.) |
list_tables | List all tables and indexes |
describe_table | Get table schema |
list_documentation | List available documentation files |
get_documentation | Fetch specific documentation from Manticore manual |
Prompts
manticore_initial_prompt— Built-in prompt teaching LLMs about Manticore Search features (full-text operators, KNN vector search, fuzzy search, etc.)
Health Check
HTTP endpoint at /health for monitoring connectivity.
Configuration
Environment Variables
| Variable | Default | Description |
|---|---|---|
MANTICORE_HOST | localhost | Manticore server host |
MANTICORE_PORT | 9308 | HTTP API port |
MANTICORE_USER | — | Username (optional) |
MANTICORE_PASSWORD | — | Password (optional) |
MANTICORE_CONNECT_TIMEOUT | 30 | Connection timeout (seconds) |
MANTICORE_QUERY_TIMEOUT | 30 | Query timeout (seconds) |
MANTICORE_ALLOW_WRITE_ACCESS | false | Enable write operations (INSERT, UPDATE, DELETE) |
MANTICORE_ALLOW_DROP | false | Enable destructive operations (DROP, TRUNCATE) |
GITHUB_TOKEN | — | GitHub token for higher API rate limit |
Safety
By default, all write operations are blocked. To enable:
# Enable writes (INSERT, UPDATE, DELETE)
export MANTICORE_ALLOW_WRITE_ACCESS=true
# Enable destructive operations (DROP, TRUNCATE)
export MANTICORE_ALLOW_DROP=true
Connect to Your AI Assistant
Open terminal and run:
claude mcp add manticore -- uvx mcp-manticore
Or with environment variables:
claude mcp add manticore -- uvx mcp-manticore -- \
MANTICORE_HOST=localhost \
MANTICORE_PORT=9308
For full configuration, edit ~/.claude/mcp_settings.json:
{
"mcpServers": {
"manticore": {
"command": "uvx",
"args": ["mcp-manticore"],
"env": {
"MANTICORE_HOST": "localhost",
"MANTICORE_PORT": "9308"
}
}
}
}
Restart Claude Code or type /mcp restart to apply changes.
Method 1: Via Settings UI
- Open Cursor → Settings → Tools & MCP
- Click "Add MCP Server"
- Enter name:
manticore - Command:
uvx mcp-manticore
Method 2: Via Config File
Global config (~/.cursor/mcp.json):
{
"mcpServers": {
"manticore": {
"command": "uvx",
"args": ["mcp-manticore"],
"env": {
"MANTICORE_HOST": "localhost",
"MANTICORE_PORT": "9308"
}
}
}
}
Project config (.cursor/mcp.json in your project):
{
"mcpServers": {
"manticore": {
"command": "uvx",
"args": ["mcp-manticore"]
}
}
}
Method 1: Via Cascade UI
- Open Windsurf → Cascade panel
- Click the MCPs icon (🔨) in the top-right
- Click "Add Server"
- Enter:
uvx mcp-manticore
Method 2: Via Config File
Edit ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": {
"manticore": {
"command": "uvx",
"args": ["mcp-manticore"],
"env": {
"MANTICORE_HOST": "localhost",
"MANTICORE_PORT": "9308"
}
}
}
}
Or open directly in Windsurf: Cmd/Ctrl + Shift + P → "MCP Configuration Panel"
Run in terminal:
codex mcp add manticore -- uvx mcp-manticore
With environment variables:
codex mcp add manticore \
--env MANTICORE_HOST=localhost \
--env MANTICORE_PORT=9308 \
-- uvx mcp-manticore
Or edit ~/.codex/config.toml directly:
[mcp_servers.manticore]
command = "uvx"
args = ["mcp-manticore"]
env = { MANTICORE_HOST = "localhost", MANTICORE_PORT = "9308" }
Edit ~/.gemini/settings.json:
{
"mcpServers": {
"manticore": {
"command": "uvx",
"args": ["mcp-manticore"],
"env": {
"MANTICORE_HOST": "localhost",
"MANTICORE_PORT": "9308"
}
}
}
}
Create .vscode/mcp.json in your workspace:
{
"servers": {
"manticore": {
"type": "stdio",
"command": "uvx",
"args": ["mcp-manticore"],
"env": {
"MANTICORE_HOST": "localhost",
"MANTICORE_PORT": "9308"
}
}
}
}
- Open Cline panel in VS Code
- Click the MCP Servers icon
- Click "Configure" → "Add Server"
- Select "Command (stdio)" and enter:
- Name:
manticore - Command:
uvx mcp-manticore
- Name:
Or edit the MCP settings file directly (accessible via the MCP Servers icon → "Edit Config"):
{
"mcpServers": {
"manticore": {
"command": "uvx",
"args": ["mcp-manticore"],
"env": {
"MANTICORE_HOST": "localhost",
"MANTICORE_PORT": "9308"
}
}
}
}
- Open Roo Code panel in VS Code
- Click the MCP Servers icon → "Edit MCP Settings"
- Add the server configuration
Or create .roo/mcp.json in your project root:
{
"mcpServers": {
"manticore": {
"command": "uvx",
"args": ["mcp-manticore"],
"env": {
"MANTICORE_HOST": "localhost",
"MANTICORE_PORT": "9308"
}
}
}
}
Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%/Claude/claude_desktop_config.json (Windows):
{
"mcpServers": {
"manticore": {
"command": "uvx",
"args": ["mcp-manticore"],
"env": {
"MANTICORE_HOST": "localhost",
"MANTICORE_PORT": "9308"
}
}
}
}
HTTP Transport (Remote MCP)
By default, MCP uses stdio (local). For remote access:
export MANTICORE_MCP_SERVER_TRANSPORT=http
export MANTICORE_MCP_BIND_PORT=8000
export MANTICORE_MCP_AUTH_TOKEN="your-secure-token"
uvx mcp-manticore
Connect via URL:
{
"mcpServers": {
"manticore": {
"url": "http://localhost:8000/mcp",
"headers": {
"Authorization": "Bearer your-secure-token"
}
}
}
}
Troubleshooting
Install uv (required)
macOS / Linux:
# Via installer script (recommended)
curl -LsSf https://astral.sh/uv/install.sh | sh
# Or via Homebrew
brew install uv
Windows:
# Via PowerShell
irm https://astral.sh/uv/install.ps1 | iex
# Or via winget
winget install astral-sh.uv
Verify installation:
uv --version
MCP server not connecting
- Verify Manticore is running:
curl http://localhost:9308/health - Check environment variables are set correctly
- For Claude Code: restart with
/mcp restart
Too many tools loaded
Some agents limit active MCP tools. Remove unused servers or use project-scoped configs.
Development
# Clone and setup
git clone https://github.com/manticoresoftware/mcp-manticore.git
cd mcp-manticore
# Install dependencies
uv sync
# Run locally
uv run mcp-manticore
# Run with custom config
MANTICORE_HOST=remote-server MANTICORE_PORT=9308 uv run mcp-manticore
# Run tests
uv run pytest
# Build package
uv build
# Publish to PyPI
uv publish
Architecture
| File | Purpose |
|---|---|
mcp_manticore/mcp_env.py | Configuration management |
mcp_manticore/mcp_server.py | MCP server implementation |
mcp_manticore/manticore_prompt.py | LLM guidance/prompts |
mcp_manticore/docs_fetcher.py | GitHub docs fetcher |
mcp_manticore/main.py | CLI entry point |
License
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