How do I find my Chaindesk API Key?

Log in to your Chaindesk.ai account, navigate to **Settings** > **API Keys**, and generate a new key for your integration.

A Datastore is a collection of documents and URLs that your AI agent uses as its knowledge base to answer queries accurately.

Can I maintain conversation context via AI?

Yes! Provide a unique `conversationId` to the `query_agent` tool to maintain historical context across multiple turns with your custom bot.

INSTANT PLUG AND PLAY

Chaindesk MCP Server for Claude CodeGive Claude Code instant access to 11 tools to Create Agent, Delete Agent, Get Agent, and more

Name: Chaindesk
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 11 Tools CLI

Claude Code is Anthropic's agentic CLI for terminal-first development. Add Chaindesk as an MCP server in one command and Claude Code will discover every tool at runtime. ideal for automation pipelines, CI/CD integration, and headless workflows via Vinkius.

Use with Your AI Agent

Ask AI about this App Connector for Claude Code

Open in ChatGPT Open in Claude Open in Perplexity

The Chaindesk app connector for Claude Code is a standout in the Knowledge Management category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Chaindesk and 3,400+ MCP Servers from a single visual interface.

Download Free Open SourceNo signup required

Classic Setup·bash

# Your Vinkius token. get it at cloud.vinkius.com
claude mcp add chaindesk --transport http "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Chaindesk MCP Server

Connect your Chaindesk.ai account to any AI agent and take full control of your custom LLM orchestration and automated knowledge retrieval workflows through natural conversation.

Claude Code registers Chaindesk as an MCP server in a single terminal command. Once connected, Claude Code discovers all 11 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where Chaindesk data drives decisions without human intervention.

What you can do

Agent Orchestration — Create and manage multiple high-fidelity AI agent instances programmatically, including configuring system prompts and model selection
Knowledge Graph Ingestion — Programmatically upsert data sources (website URLs, text, documents) into connected datastores to maintain a real-time knowledge base
Deep Semantic Querying — Interact with your custom agents to retrieve context-aware AI responses based on your proprietary data and high-fidelity grounding
Conversation Intelligence — Access complete session histories and message threads to provide perfectly coordinated context for support and research tasks
Datastore Monitoring — Access and monitor your directory of knowledge collections (datastores) and their status directly through your agent for instant reporting

The Chaindesk MCP Server exposes 11 tools through the Vinkius. Connect it to Claude Code in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 11 Chaindesk tools available for Claude Code

When Claude Code connects to Chaindesk through Vinkius, your AI agent gets direct access to every tool listed below — spanning llm-training, custom-chatbots, knowledge-retrieval, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_agent

Provide name, datastoreId, and system prompt. Create a new AI agent

delete_agent

Delete an agent

get_agent

Get details of a specific agent

get_datastore

Get details of a datastore

get_messages

Get messages from a conversation

list_agents

List all AI agents

list_conversations

Can be filtered by agentId. List chat conversations

list_datastores

List all datastores

query_agent

Send a message to an agent

update_agent

Update an existing agent

upsert_datasource

Add or update a data source

Connect Chaindesk to Claude Code via MCP

Follow these steps to wire Chaindesk into Claude Code. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

Install Claude Code

Run npm install -g @anthropic-ai/claude-code if not already installed

Add the MCP Server

Run the command above in your terminal

Verify the connection

Run claude mcp to list connected servers, or type /mcp inside a session

Start using Chaindesk

Ask Claude: "Using Chaindesk, show me...". 11 tools are ready

Why Use Claude Code with the Chaindesk MCP Server

Claude Code provides unique advantages when paired with Chaindesk through the Model Context Protocol.

Single-command setup: `claude mcp add` registers the server instantly. no config files to edit or applications to restart

Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks

Claude Code runs headlessly, enabling unattended batch processing using Chaindesk tools in cron jobs or deployment scripts

Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features

Chaindesk + Claude Code Use Cases

Practical scenarios where Claude Code combined with the Chaindesk MCP Server delivers measurable value.

CI/CD integration: embed Chaindesk tool calls in your deployment pipeline to validate configurations or fetch secrets before shipping

Headless batch processing: schedule Claude Code to query Chaindesk nightly and generate reports without human intervention

Shell scripting: pipe Chaindesk outputs into other CLI tools for data transformation, filtering, and aggregation

Infrastructure monitoring: run Claude Code in a cron job to query Chaindesk status endpoints and alert on anomalies

Example Prompts for Chaindesk in Claude Code

Ready-to-use prompts you can give your Claude Code agent to start working with Chaindesk immediately.

"List all my available AI agents in Chaindesk."

"Ask my 'Support Bot' (ID: 'agent_1'): 'How do I reset my password?'."

"Add 'https://vinkius.com/faq' to datastore 'ds_123'."

Troubleshooting Chaindesk MCP Server with Claude Code

Common issues when connecting Chaindesk to Claude Code through the Vinkius, and how to resolve them.

Command not found: claude

Ensure Claude Code is installed globally: npm install -g @anthropic-ai/claude-code

Connection timeout

Check your internet connection and verify the Edge URL is reachable

Chaindesk + Claude Code FAQ

Common questions about integrating Chaindesk MCP Server with Claude Code.

How do I add an MCP server to Claude Code?

Run claude mcp add --transport http "" in your terminal. Claude Code registers the server and discovers all tools immediately.

Can Claude Code run MCP tools in headless mode?

Yes. Claude Code supports non-interactive execution, making it ideal for scripts, cron jobs, and CI/CD pipelines that need MCP tool access.

How do I list all connected MCP servers?

Run claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.