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Manticore Search

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

Unclaimed last commit 6 months ago search
37Low

Scored 6 months ago · breakdown

About Manticore Search

Manticore Search is an MCP server published by manticoresoftware in the Search category: mCP server for Manticore Search — lets AI assistants query and manage search databases.

The repository has 5 stars and 0 forks, with the last commit 6 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

uvx
uvx mcp-manticore
pip
pip install mcp-manticore

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (5)

describe_tableGet table schema

Parameters not published.

get_documentationFetch specific documentation from Manticore manual

Parameters not published.

list_documentationList available documentation files

Parameters not published.

list_tablesList all tables and indexes

Parameters not published.

run_queryExecute SQL queries (SELECT, SHOW, DESCRIBE, etc.)

Parameters not published.

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README

Manticore Search MCP Server

PyPI - Version uv

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

  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"]
    }
  }
}

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"

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"
      }
    }
  }
}
  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"
      }
    }
  }
}
  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"
      }
    }
  }
}

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

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

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Manticore Search

How do I install Manticore Search?

Run uvx mcp-manticore, then add the server to your MCP client's configuration.

Is Manticore Search safe to use with an AI agent?

Its trust score is 37 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Manticore Search still maintained?

The last commit was 6 months ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.