Manticore Search
Provides access to Manticore Search, an open-source database for real-time, full-text search.
Manticore Search MCP Server
A Model Context Protocol (MCP) server that provides access to Manticore Search functionality through MCP-compatible clients like Claude Code, Cursor, and other AI development tools.
Features
- Full-text search with advanced query options
- Table/index management operations
- Document insertion and manipulation
- Cluster status monitoring
- Boolean queries with highlighting and fuzzy search
- Configurable result limits and pagination
Installation
Prerequisites
- Go 1.22 or later
- Manticore Search server running and accessible
Build
git clone https://github.com/krajcik/manticore-mcp-server.git
cd manticore-mcp-server
go build -o manticore-mcp-server
Configuration
Configure using environment variables:
export MANTICORE_URL="http://localhost:9308"
export MAX_RESULTS_PER_QUERY="100"
export REQUEST_TIMEOUT="30s"
export DEBUG="false"
Or command-line flags:
./manticore-mcp-server --manticore-url="http://localhost:9308" --max-results=100
MCP Client Integration
Add to your MCP client configuration (e.g., ~/.claude.json for Claude Code):
{
"mcpServers": {
"manticore-search": {
"command": "/path/to/manticore-mcp-server",
"args": [],
"env": {
"MANTICORE_URL": "http://localhost:9308",
"MAX_RESULTS_PER_QUERY": "50"
}
}
}
}
Available Tools
The MCP protocol automatically exposes these tools to clients:
search
Full-text search in Manticore indexes.
Key Parameters:
table(required): Table namequery: Search textlimit: Max resultshighlight: Enable result highlightingbool_query: Complex boolean queries
show_tables
List available tables/indexes.
describe_table
Get table schema information.
Parameters:
table(required): Table name
insert_document
Insert document into index.
Parameters:
table(required): Table namedocument(required): Document data
update_document
Update an existing document by id (attributes) with optional additional condition.
Parameters:
table(required)id(required)document(required): fields to updatecondition(optional)
delete_document
Delete documents by id or condition.
Parameters:
table(required)idorcondition(one required)
show_cluster_status
Display cluster health status.
create_cluster / join_cluster / alter_cluster / delete_cluster / set_cluster
Cluster management operations (use with caution in production).
Response Format
All tools return structured JSON:
{
"success": true,
"data": { /* results */ },
"meta": {
"total": 42,
"count": 10,
"operation": "search"
}
}
API Discovery
MCP clients automatically discover available tools and their schemas through the protocol. No manual configuration required.
Troubleshooting
Connection Issues:
- Verify Manticore is running:
curl http://localhost:9308 - Check server path in MCP configuration
- Use
--debugfor verbose logging - For complex boolean queries, ensure HTTP JSON API is reachable (POST to
/search).
Performance:
- Adjust
MAX_RESULTS_PER_QUERYfor your needs - Increase
REQUEST_TIMEOUTfor complex queries
License
MIT License
Verwandte Server
Azure AI Agent & Search
Search content using Azure AI Agent Service and Azure AI Search.
Context7 HTTP
An MCP server for the Context7 project, providing HTTP streaming and search endpoints for library information without local installation.
Rolli MCP
Social media search and analytics across X, Reddit, Bluesky, YouTube, LinkedIn, Facebook, Instagram, and Weibo via the Rolli IQ API
Gemini MCP
Integrate search grounded Gemini output into your workflow.
Banana Prompts MCP Server
MCP server that allows you to search for high-quality AI art prompts directly from Banana Prompts (bananaprompts.fun).
Crawleo MCP Server
Crawleo MCP - Web Search & Crawl for AI Enable AI assistants to access real-time web data through native tool integration. Two Powerful Tools: web.search - Real-time web search with flexible formatting Search from any country/language Device-specific results (desktop, mobile, tablet) Multiple output formats: Enhanced HTML (AI-optimized, clean) Raw HTML (original source) Markdown (formatted text) Plain Text (pure content) Auto-crawl option for full content extraction Multi-page search support web.crawl - Deep content extraction Extract clean content from any URL JavaScript rendering support Markdown conversion Screenshot capture Multi-URL support Features: ✅ Zero data retention (complete privacy) ✅ Real-time, not cached results ✅ AI-optimized with Enhanced HTML mode ✅ Global coverage (any country/language) ✅ Device-specific search (mobile/desktop/tablet) ✅ Flexible output formats (4 options) ✅ Cost-effective (5-10x cheaper than competitors) ✅ Simple Claude Desktop integration Perfect for: Research, content analysis, data extraction, AI agents, RAG pipelines, multi-device testing
BrowseAI Dev
Evidence-backed web research for AI agents. BM25+NLI claim verification, confidence scores, citations, contradiction detection. 12 MCP tools. Works with Claude Desktop, Cursor, Windsurf. Python SDK (pip install browseaidev), LangChain, CrewAI, LlamaIndex integrations. npx browseai-dev
Google Scholar MCP
An MCP server for searching Google Scholar, built for AI assistants and automation workflows that need papers, authors, citations, and BibTeX entries.
arXiv LaTeX
Fetches and processes arXiv papers using LaTeX source for accurate equation handling.
Langgraph Deep Search MCP Server
A deep search server powered by LangGraph and the Google Gemini API.