What can you do with this server?

The Manticore Search MCP server enables AI assistants to query, explore, and manage Manticore Search databases through a standardized interface. * Execute SQL queries (run_query): Run SQL statements (SELECT, SHOW, DESCRIBE, etc.) against a Manticore Search instance. Write operations (INSERT, UPDATE, DELETE) and destructive operations (DROP, TRUNCATE) are disabled by default and require explicit configuration via environment variables. * List tables/indexes (list_tables): Retrieve all available tables and indexes in the connected Manticore Search database. * Describe table schema (describe_table): Get detailed schema information for a specific table or index, including column names and types. * List documentation (list_documentation): Browse and filter available Manticore Search manual files using regex patterns. * Fetch documentation content (get_documentation): Retrieve full or filtered content from a specific manual page (e.g., full-text search operators, KNN vector search, data types), with optional context lines around matched sections. * Built-in LLM guidance (manticore_initial_prompt): Provides AI assistants with knowledge about Manticore Search features to improve query generation. * Health monitoring: HTTP endpoint at /health for connectivity checking. * Flexible deployment: Supports local stdio and remote HTTP transport with authentication, compatible with Claude, Cursor, Windsurf, VS Code, and more.

Which integrations are available for this server?

Provides tools to list and fetch specific documentation from the Manticore Search manual, utilizing the GitHub API for content retrieval.

Manticore Search MCP

Official

by manticoresoftware

Overview Schema Related Servers Score Discussions

Python

Hybrid

Manticore Search MCP Server

PyPI - Version

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:
uvx runs 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-manticore to 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

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

Apache-2.0

Install Server

security – no known vulnerabilities

license - permissive license

quality - A tier

How are these scores calculated?

Resources

GitHub Repository

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