Bring Thinkstack
to Mastra AI
Learn how to connect ThinkStack to Mastra AI and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the ThinkStack MCP Server?
Connect your ThinkStack account to any AI agent and manage your chatbots, knowledge bases, and conversations through natural language.
What you can do
- Chatbot Management u2014 List and configure all AI chatbots in your account
- Knowledge Base u2014 Add, list, and remove knowledge sources (URLs, documents) for any chatbot
- Live Queries u2014 Send messages to your chatbots and receive AI-generated responses in real time
- Conversation History u2014 Review all chat sessions with full message history and user metadata
- Actions & Webhooks u2014 View all configured REST API actions for your chatbots
How it works
1. Subscribe to this server
2. Retrieve your API Key from the ThinkStack dashboard
3. Start managing chatbots from Claude, Cursor, or any MCP client
Who is this for?
- Support Teams u2014 monitor chatbot conversations and optimize knowledge base accuracy
- Product Managers u2014 review chatbot usage patterns and refine AI responses
- Developers u2014 manage knowledge sources and test chatbot queries programmatically
Built-in capabilities (10)
The content will be crawled and indexed automatically. Add a knowledge source
Verify ThinkStack API connectivity
Remove a knowledge source
Get chatbot details
Get conversation details
List bot actions
List all chatbots
List conversations
List knowledge sources
Query a chatbot
Why Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and ThinkStack tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add ThinkStack without touching business code
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Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every ThinkStack tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
ThinkStack in Mastra AI
ThinkStack and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect ThinkStack to Mastra AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for ThinkStack in Mastra AI
The ThinkStack 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. All 10 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Mastra AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
ThinkStack for Mastra AI
Every tool call from Mastra AI to the ThinkStack MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I query my chatbot via AI agent?
Use the send_query tool with the bot ID and your message. The chatbot responds based on its trained knowledge base.
Can I manage knowledge sources programmatically?
Yes. Use add_source to add new URLs, list_sources to browse, and delete_source to remove outdated sources from any chatbot.
How do I review chat conversations?
Use list_conversations to see all chats for a bot, then get_conversation to read the full message history of any specific session.
How does Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp