Searchcraft MCP Server

The Searchcraft MCP Server provides a suite of tools for managing your Searchcraft cluster's Documents, Indexes, Federations, Access Keys, and Analytics. It enables MCP Clients, like Claude Desktop, to be prompted in plain English to perform administrative actions like setting up search indexes, access keys, ingesting documents, viewing analytics, searching indexes, and more.

Available Tools

The Searchcraft MCP Server provides two main categories of tools:

Engine API Tools

These tools provide direct access to your Searchcraft cluster's core functionality for managing indexes, documents, federations, authentication, and search operations.

Index Management

Tool Name	Description
create_index	Create a new index with the specified schema. This will empty the index if it already exists.
delete_index	Delete an index and all its documents permanently.
get_all_index_stats	Get document counts and statistics for all indexes.
get_index_schema	Get the schema definition for a specific index.
get_index_stats	Get statistics and metadata for a specific index (document count, etc.).
list_all_indexes	Get a list of all indexes in the Searchcraft instance.
patch_index	Make partial configuration changes to an index schema (search_fields, weight_multipliers, etc.).
update_index	Replace the entire contents of an existing index with a new schema definition.

Document Management

Tool Name	Description
add_documents	Add one or multiple documents to an index. Documents should be provided as an array of JSON objects.
delete_all_documents	Delete all documents from an index. The index will continue to exist after all documents are deleted.
delete_document_by_id	Delete a single document from an index by its internal Searchcraft ID (_id).
delete_documents_by_field	Delete one or several documents from an index by field term match (e.g., {id: 'xyz'} or {title: 'foo'}).
delete_documents_by_query	Delete one or several documents from an index by query match.
get_document_by_id	Get a single document from an index by its internal Searchcraft ID (_id).

Federation Management

Tool Name	Description
create_federation	Create or update a federation with the specified configuration.
delete_federation	Delete a federation permanently.
get_federation_details	Get detailed information for a specific federation.
get_federation_stats	Get document counts per index for a federation as well as the total document count.
get_organization_federations	Get a list of all federations for a specific organization.
list_all_federations	Get a list of all federations in the Searchcraft instance.
update_federation	Replace the current federation entity with an updated one.

Authentication & Key Management

Tool Name	Description
create_key	Create a new authentication key with specified permissions and access controls.
delete_all_keys	Delete all authentication keys on the Searchcraft cluster. Use with extreme caution!
delete_key	Delete a specific authentication key permanently.
get_application_keys	Get a list of all authentication keys associated with a specific application.
get_federation_keys	Get a list of all authentication keys associated with a specific federation.
get_key_details	Get detailed information for a specific authentication key.
get_organization_keys	Get a list of all authentication keys associated with a specific organization.
list_all_keys	Get a list of all authentication keys on the Searchcraft cluster.
update_key	Update an existing authentication key with new configuration.

Stopwords Management

Tool Name	Description
add_stopwords	Add custom stopwords to an index. These are added on top of the default language-specific dictionary.
delete_all_stopwords	Delete all custom stopwords from an index. This only affects custom stopwords, not the default language dictionary.
delete_stopwords	Delete specific custom stopwords from an index. This only affects custom stopwords, not the default language dictionary.
get_index_stopwords	Get all stopwords for an index, including both default language dictionary and custom stopwords.

Synonyms Management

Tool Name	Description
add_synonyms	Add synonyms to an index. Synonyms only work with fuzzy queries, not exact match queries.
delete_all_synonyms	Delete all synonyms from an index.
delete_synonyms	Delete specific synonyms from an index by their keys.
get_index_synonyms	Get all synonyms defined for an index.

Search & Analytics

Tool Name	Description
get_measure_conversion	Get measurement conversion data with optional filtering and aggregation parameters. *requires Clickhouse if running locally
get_measure_summary	Get measurement summary data with optional filtering and aggregation parameters. *requires Clickhouse if running locally
get_search_results	Performs a search query using the Searchcraft API with support for fuzzy/exact matching, facets, and date ranges.
get_prelim_search_data	Get schema fields and facet information for a search index to understand available fields for constructing queries.
get_searchcraft_status	Get the current status of the Searchcraft search service.

Import Tools

These tools provide workflows for importing JSON data and automatically generating Searchcraft schemas. Perfect for quickly setting up new indexes from existing data sources.

Tool Name	Description
analyze_json_from_file	Read JSON data from a local file and analyze its structure to understand field types and patterns for Searchcraft index schema generation.
analyze_json_from_url	Fetch JSON data from a URL and analyze its structure to understand field types and patterns for Searchcraft index schema generation.
generate_searchcraft_schema	Generate a complete Searchcraft index schema from analyzed JSON structure, with customizable options for search fields, weights, and other index settings.
create_index_from_json	Complete workflow to create a Searchcraft index from JSON data. Fetches JSON from URL or file, analyzes structure, generates schema, and creates the index in one step.

Import Tools Workflow

The import tools are designed to work together in a streamlined workflow:

Analyze → Use analyze_json_from_file or analyze_json_from_url to examine your JSON data structure
Generate → Use generate_searchcraft_schema to create a customized Searchcraft schema from the analysis
Create → Use the Engine API create_index tool to create the index with your generated schema
Import → Use add_documents to populate your new index with data

Or use the all-in-one approach:

One-Step → Use create_index_from_json to analyze, generate schema, and create the index all in one command

Getting Started

Environment Variables

Create .env file at the project's root and fill in the values:

# Server Config
USER_AGENT=searchcraft-mcp-server/<project-version>
DEBUG=true
PORT=3100

# Searchcraft Config
ENDPOINT_URL= # The endpoint url of your Searchcraft Cluster
ADMIN_KEY= # The admin key (super user key) of your Searchcraft Cluster

.env sample

Installation & Setup

Make sure your environment has the correct version of node selected.

nvm use

Install dependencies with yarn

yarn

Build the server

yarn build

This creates two server versions:

dist/server.js - HTTP server for testing and remote deployment
dist/stdio-server.js - stdio server for Claude Desktop

Usage

Option 1: Claude Desktop (stdio) - Recommended

For local use with Claude Desktop, use the stdio version which provides better performance and reliability.

claude_desktop_config.json

{
  "mcpServers": {
    "searchcraft": {
      "command": "node",
      "args": [
        "/path/to/searchcraft-mcp-server/dist/stdio-server.js"
      ]
    }
  }
}

The claude desktop config file can be found at:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json

If the file doesn't exist, create it.

Option 2: Claude Code

For use with Claude Code, use the CLI to configure the MCP server:

Basic setup:

# Add the Searchcraft MCP server to Claude Code
claude mcp add searchcraft -- node /path/to/searchcraft-mcp-server/dist/stdio-server.js

With environment variables:

# Add with your Searchcraft cluster configuration
claude mcp add searchcraft \
  --env ENDPOINT_URL=https://your-cluster.searchcraft.io \
  --env ADMIN_KEY=your_admin_key_here \
  -- node /path/to/searchcraft-mcp-server/dist/stdio-server.js

Configuration scopes:

--scope local (default): Available only to you in the current project
--scope project: Shared with team via .mcp.json file (recommended for teams)
--scope user: Available to you across all projects

Managing servers:

# List configured servers
claude mcp list

# Check server status
/mcp

# Remove server
claude mcp remove searchcraft

Option 3: Open WebUI (via Pipelines)

Open WebUI supports MCP servers through its Pipelines framework. This requires creating a custom pipeline that bridges your MCP server to Open WebUI.

Step 1: Start the Searchcraft MCP HTTP server

yarn start  # Starts HTTP server on port 3100

Step 2: Create an MCP Pipeline for Open WebUI

Create a file called searchcraft_mcp_pipeline.py:

"""
title: Searchcraft MCP Pipeline
author: Searchcraft Team
version: 1.0.0
license: Apache-2.0
description: A pipeline that integrates Searchcraft MCP server with Open WebUI
requirements: requests
"""

import requests
import json
from typing import List, Union, Generator, Iterator
from pydantic import BaseModel


class Pipeline:
    class Valves(BaseModel):
        MCP_SERVER_URL: str = "http://localhost:3100/mcp"
        ENDPOINT_URL: str = ""
        ADMIN_KEY: str = ""

    def __init__(self):
        self.name = "Searchcraft MCP Pipeline"
        self.valves = self.Valves()

    async def on_startup(self):
        print(f"on_startup:{__name__}")

    async def on_shutdown(self):
        print(f"on_shutdown:{__name__}")

    def pipe(
        self, user_message: str, model_id: str, messages: List[dict], body: dict
    ) -> Union[str, Generator, Iterator]:
        # This pipeline acts as a bridge between Open WebUI and your MCP server
        # You can customize this to handle specific Searchcraft operations

        # Example: If user mentions search operations, route to MCP server
        if any(keyword in user_message.lower() for keyword in ['search', 'index', 'document', 'searchcraft']):
            try:
                # Initialize MCP session
                init_payload = {
                    "jsonrpc": "2.0",
                    "id": 1,
                    "method": "initialize",
                    "params": {
                        "protocolVersion": "2025-06-18",
                        "capabilities": {},
                        "clientInfo": {"name": "open-webui-pipeline", "version": "1.0.0"}
                    }
                }

                response = requests.post(self.valves.MCP_SERVER_URL, json=init_payload)

                if response.status_code == 200:
                    # Add context about available Searchcraft tools
                    enhanced_message = f"""
{user_message}

[Available Searchcraft MCP Tools: create_index, delete_index, add_documents, get_search_results, list_all_indexes, get_index_stats, create_key, delete_key, and 20+ more tools for managing Searchcraft clusters]
"""
                    return enhanced_message

            except Exception as e:
                print(f"MCP connection error: {e}")

        return user_message

Step 3: Install the Pipeline in Open WebUI

Via Admin Panel:
- Go to Admin Settings → Pipelines
- Click "Add Pipeline"
- Paste the pipeline code above
- Configure the valves with your Searchcraft settings:
  - MCP_SERVER_URL: http://localhost:3100/mcp
  - ENDPOINT_URL: Your Searchcraft cluster URL
  - ADMIN_KEY: Your Searchcraft admin key
Via Docker Environment:
# Save the pipeline to a file and mount it docker run -d -p 3000:8080 \ -v open-webui:/app/backend/data \ -v ./searchcraft_mcp_pipeline.py:/app/backend/data/pipelines/searchcraft_mcp_pipeline.py \ --name open-webui \ ghcr.io/open-webui/open-webui:main

Step 4: Configure Open WebUI to use Pipelines

Start Open WebUI with Pipelines support:
# Using Docker Compose (recommended) services: openwebui: image: ghcr.io/open-webui/open-webui:main ports: - "3000:8080" volumes: - open-webui:/app/backend/data environment: - OPENAI_API_BASE_URL=http://pipelines:9099 - OPENAI_API_KEY=0p3n-w3bu! pipelines: image: ghcr.io/open-webui/pipelines:main volumes: - pipelines:/app/pipelines environment: - PIPELINES_API_KEY=0p3n-w3bu!
In Open WebUI Settings → Connections:
- Set OpenAI API URL to your Pipelines instance
- Enable the Searchcraft MCP Pipeline

Option 4: HTTP Server (for testing/remote deployment)

Start the HTTP server for testing, debugging, or remote deployment:

yarn start  # Starts HTTP server on port 3100

For Claude Desktop with HTTP server, you'll need mcp-remote:

claude_desktop_config.json

{
  "mcpServers": {
    "searchcraft": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "http://localhost:3100/mcp"
      ]
    }
  }
}

Available Scripts

# Development
yarn dev          # Watch HTTP server
yarn dev:stdio    # Watch stdio server

# Production
yarn start        # Start HTTP server
yarn start:stdio  # Start stdio server

# Testing
yarn inspect      # Launch MCP inspector
yarn claude-logs  # View Claude Desktop logs

stdio vs HTTP: Which to Choose?

Feature	stdio (Recommended)	HTTP
Performance	✅ Direct IPC, lower latency	⚠️ HTTP overhead
Security	✅ No exposed ports	⚠️ Network port required
Simplicity	✅ No port management	⚠️ Port conflicts possible
Claude Desktop	✅ Native support	⚠️ Requires mcp-remote
Claude Code	✅ Native support	✅ Native support
Open WebUI	❌ Not supported	✅ Via Pipelines framework
Remote Access	❌ Local only	✅ Can deploy remotely
Testing	⚠️ Requires MCP tools	✅ Easy with curl/Postman
Multiple Clients	❌ One client at a time	✅ Multiple concurrent clients

Use stdio when:

Using Claude Desktop or Claude Code locally
You want the best performance
You prefer simplicity

Use HTTP when:

You need remote access
You want easy testing/debugging
You need multiple concurrent clients
You're deploying to a server
Using Open WebUI or other web-based interfaces

Debugging

Claude Desktop Logs

To view Claude Desktop's logs for debugging MCP connections:

yarn claude-logs

Testing with MCP Inspector

The MCP Inspector allows you to test your server tools interactively.

For stdio server (recommended):

yarn inspect

Choose Transport Type: stdio
Command: node dist/stdio-server.js

For HTTP server:

yarn start  # Start HTTP server first
yarn inspect

Choose Transport Type: Streamable HTTP
URL: http://localhost:3100/mcp

Manual Testing

Test HTTP server:

# Health check
curl http://localhost:3100/health

# Test MCP endpoint
curl -X POST http://localhost:3100/mcp \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-06-18","capabilities":{},"clientInfo":{"name":"test","version":"1.0.0"}}}'

Test stdio server:

echo '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-06-18","capabilities":{},"clientInfo":{"name":"test","version":"1.0.0"}}}' | node dist/stdio-server.js

Resources

Issues and Feature Requests

Visit https://github.com/searchcraft-inc/searchcraft-issues

License

Licensed under the Apache 2.0 License.

This server cannot be installed

security - not tested

license - permissive license

quality - not tested

How are these scores calculated?

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

An MCP server that enables AI assistants like Claude Desktop to search and retrieve information from custom search indexes created with Searchcraft.

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