How to connect Elasticsearch MCP with VS Code | Composio
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How to connect Elasticsearch MCP with VS Code
Connect VS Code to Elasticsearch MCP. Search for documents with error status, create a new index named 'projects', and more using natural language, with authentication handled for you.
Elasticsearch
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Elasticsearch is a distributed, RESTful search and analytics engine for all types of data. It delivers fast, scalable search and powerful analytics across massive datasets.
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We manage OAuth, API keys, token refresh, and scopes — you just build.
How to connect Elasticsearch MCP with VS Code
VS Code is the most popular code editor out there. With its recent AI makeover, it can do more than just help you write code. You can connect your applications to it and let LLMs automate many of the mundane tasks in your workflow.
In this guide, I will explain how to connect Elasticsearch with VS Code in the most secure and robust way possible via Composio.
Also integrate Elasticsearch with
ChatGPT Work Antigravity OpenAI Agents SDK Claude Agent SDK Claude Code Claude Cowork Codex Grok Build Cursor OpenCode OpenClaw Hermes Google ADK LangChain Vercel AI SDK Mastra AI LlamaIndex CrewAI Pydantic AI AutoGen
Why use Composio?
Composio provides:
- Access to 1,000+ managed apps from a single MCP endpoint. This makes it convenient for agents to run cross-app workflows.
- Programmatic tool calling. Allows LLMs to write its code in a remote workbench to handle complex tool chaining. Reduces to-and-fro with LLMs for frequent tool calling.
- Large tool response handling outside the LLM context. This minimizes context bloat from large tool responses.
- Dynamic just-in-time access to thousands of tools across hundreds of apps. Composio loads the tools your agent needs, so LLMs are not overwhelmed by tools they do not need.
Integrate Elasticsearch MCP with VS Code
1. Install with one click
Click the button below to add Composio to VS Code. You will be prompted to authorize. This requires VS Code 1.99+ with GitHub Copilot.
2. Or add manually
Open or create .vscode/mcp.json in your project root and add the following configuration:
{
"servers": {
"composio": {
"type": "http",
"url": "https://connect.composio.dev/mcp"
}
}
}
3. Authorize
Click the install button to authorize VS Code to connect to Composio. VS Code will detect OAuth and prompt you to sign in.
4. Authenticate Elasticsearch and start working
Back in VS Code chat, ask the agent to connect to Elasticsearch or give it any Elasticsearch-related task.
For example, ask it to:
- "Search for documents with error status"
- "Create a new index named 'projects'"
- "Update all records in 'users' index"
It will prompt you to authenticate and authorize access to Elasticsearch.
That is it. Composio tools are now available in VS Code, and your Elasticsearch account is ready to use.
Way Forward
Now that Elasticsearch is connected, extend your setup by connecting the other apps you already use every day, so your agent can run true cross-app workflows end to end.
- Connect Calendar to turn threads into scheduled meetings automatically.
- Connect Slack or Teams to post summaries, approvals, and alerts where your team works.
- Connect Notion, Linear, Jira, or Asana to convert requests into tickets, tasks, and docs.
- Connect Drive, Dropbox, or OneDrive to fetch, file, and share attachments without manual steps.
- Connect HubSpot or Salesforce to log customer context, update records, and draft follow-ups.
Start with one workflow you do repeatedly, then keep adding apps as you find new handoffs. With everything behind a single MCP endpoint, your agent can coordinate multiple tools safely and reliably in one conversation.
Supported Tools
Every Elasticsearch action and event your agent gets out of the box.
- Get Index Schema: Tool to get the complete schema/mapping of a specific Elasticsearch index.
- List Indices: Tool to list all available Elasticsearch indices.
- Ping Cluster: Tool to ping the Elasticsearch cluster and check if it is running.
- Query Index: Tool to query an Elasticsearch index with various filters, time ranges, and pagination support.
How to build Elasticsearch MCP Agent with another framework
ChatGPT Work \
Use Elasticsearch MCP with ChatGPT Work](/content/toolkits/elasticsearch/framework/chatgpt/index.html)
Antigravity \
Use Elasticsearch MCP with Antigravity](/content/toolkits/elasticsearch/framework/antigravity/index.html)
OpenAI Agents SDK \
Use Elasticsearch MCP with OpenAI Agents SDK](/content/toolkits/elasticsearch/framework/open-ai-agents-sdk/index.html)
Claude Agent SDK \
Use Elasticsearch MCP with Claude Agent SDK](/content/toolkits/elasticsearch/framework/claude-agents-sdk/index.html)
Claude Code \
Use Elasticsearch MCP with Claude Code](/content/toolkits/elasticsearch/framework/claude-code/index.html)
Claude Cowork \
Use Elasticsearch MCP with Claude Cowork](/content/toolkits/elasticsearch/framework/claude-cowork/index.html)
Codex \
Use Elasticsearch MCP with Codex](/content/toolkits/elasticsearch/framework/codex/index.html)
Grok Build \
Use Elasticsearch MCP with Grok Build](/content/toolkits/elasticsearch/framework/grok-build/index.html)
Cursor \
Use Elasticsearch MCP with Cursor](/content/toolkits/elasticsearch/framework/cursor/index.html)
OpenCode \
Use Elasticsearch MCP with OpenCode](/content/toolkits/elasticsearch/framework/opencode/index.html)
OpenClaw \
Use Elasticsearch MCP with OpenClaw](/content/toolkits/elasticsearch/framework/openclaw/index.html)
Hermes \
Use Elasticsearch MCP with Hermes](/content/toolkits/elasticsearch/framework/hermes-agent/index.html)
Google ADK \
Use Elasticsearch MCP with Google ADK](/content/toolkits/elasticsearch/framework/google-adk/index.html)
LangChain \
Use Elasticsearch MCP with LangChain](/content/toolkits/elasticsearch/framework/langchain/index.html)
Vercel AI SDK \
Use Elasticsearch MCP with Vercel AI SDK](/content/toolkits/elasticsearch/framework/ai-sdk/index.html)
Mastra AI \
Use Elasticsearch MCP with Mastra AI](/content/toolkits/elasticsearch/framework/mastra-ai/index.html)
LlamaIndex \
Use Elasticsearch MCP with LlamaIndex](/content/toolkits/elasticsearch/framework/llama-index/index.html)
CrewAI \
Use Elasticsearch MCP with CrewAI](/content/toolkits/elasticsearch/framework/crew-ai/index.html)
Pydantic AI \
Use Elasticsearch MCP with Pydantic AI](/content/toolkits/elasticsearch/framework/pydantic-ai/index.html)
AutoGen \
Use Elasticsearch MCP with AutoGen](/content/toolkits/elasticsearch/framework/autogen/index.html)
Explore Other Toolkits
Frequently asked questions
What are the differences in Tool Router MCP and Elasticsearch MCP?
With a standalone Elasticsearch MCP server, the agents and LLMs can only access a fixed set of Elasticsearch tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Elasticsearch and many other apps based on the task at hand, all through a single MCP endpoint.
Can I use Tool Router MCP with VS Code?
Yes, you can. VS Code fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Elasticsearch tools.
Can I manage the permissions and scopes for Elasticsearch while using Tool Router?
Yes, absolutely. You can configure which Elasticsearch scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.
How safe is my data with Composio Tool Router?
All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Elasticsearch data and credentials are handled as safely as possible.
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