Manticore Search

Official registry Data and databases

MCP server for Manticore Search — lets AI assistants query and manage search databases.

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

PYPI package mcp-manticore
Claude Code
claude mcp add manticore-search -- uvx mcp-manticore==0.1.2
JSON configuration (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "manticore-search": {
            "command": "uvx",
            "args": [
                "mcp-manticore==0.1.2"
            ]
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. Manticore Search MCP Server
  2. Quick Start
  3. What It Does
  4. Configuration
  5. Connect to Your AI Assistant
  6. HTTP Transport (Remote MCP)
  7. Troubleshooting
  8. Development
  9. License

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:

  • 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
ToolDescription
run_queryExecute SQL queries (SELECT, SHOW, DESCRIBE, etc.)
list_tablesList all tables and indexes
describe_tableGet table schema
list_documentationList available documentation files
get_documentationFetch 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
VariableDefaultDescription
MANTICORE_HOSTlocalhostManticore server host
MANTICORE_PORT9308HTTP API port
MANTICORE_USER—Username (optional)
MANTICORE_PASSWORD—Password (optional)
MANTICORE_CONNECT_TIMEOUT30Connection timeout (seconds)
MANTICORE_QUERY_TIMEOUT30Query timeout (seconds)
MANTICORE_ALLOW_WRITE_ACCESSfalseEnable write operations (INSERT, UPDATE, DELETE)
MANTICORE_ALLOW_DROPfalseEnable 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

Claude Code

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.

Cursor

Method 1: Via Settings UI

  1. Open Cursor → Settings → Tools & MCP
  2. Click "Add MCP Server"
  3. Enter name: manticore
  4. 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"]
    }
  }
}

Windsurf

Method 1: Via Cascade UI

  1. Open Windsurf → Cascade panel
  2. Click the MCPs icon (🔨) in the top-right
  3. Click "Add Server"
  4. 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"

OpenAI Codex

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" }

Gemini CLI

Edit ~/.gemini/settings.json:

{
  "mcpServers": {
    "manticore": {
      "command": "uvx",
      "args": ["mcp-manticore"],
      "env": {
        "MANTICORE_HOST": "localhost",
        "MANTICORE_PORT": "9308"
      }
    }
  }
}

VS Code (GitHub Copilot)

Create .vscode/mcp.json in your workspace:

{
  "servers": {
    "manticore": {
      "type": "stdio",
      "command": "uvx",
      "args": ["mcp-manticore"],
      "env": {
        "MANTICORE_HOST": "localhost",
        "MANTICORE_PORT": "9308"
      }
    }
  }
}

Cline

  1. Open Cline panel in VS Code
  2. Click the MCP Servers icon
  3. Click "Configure" → "Add Server"
  4. 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"
      }
    }
  }
}

Roo Code

  1. Open Roo Code panel in VS Code
  2. Click the MCP Servers icon → "Edit MCP Settings"
  3. 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"
      }
    }
  }
}

Claude Desktop (Legacy)

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
  1. Verify Manticore is running: curl http://localhost:9308/health
  2. Check environment variables are set correctly
  3. 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
FilePurpose
mcp_manticore/mcp_env.pyConfiguration management
mcp_manticore/mcp_server.pyMCP server implementation
mcp_manticore/manticore_prompt.pyLLM guidance/prompts
mcp_manticore/docs_fetcher.pyGitHub docs fetcher
mcp_manticore/main.pyCLI entry point

License

Apache-2.0

Frequently asked questions

What is Manticore Search?

MCP server for Manticore Search — lets AI assistants query and manage search databases.

How do I install Manticore Search?

It runs on your machine. In Claude Code: claude mcp add manticore-search -- uvx mcp-manticore==0.1.2. For other clients, paste the JSON configuration from this page into their MCP settings.

Does Manticore Search need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is Manticore Search open source?

Yes. Its code is on GitHub under the Apache-2.0 license.

Who maintains Manticore Search?

It is published by manticoresoftware. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.