Bring Chatbot Training
to LlamaIndex
Learn how to connect Botsonic to LlamaIndex and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Botsonic MCP Server?
Connect your Botsonic (by Writesonic) account to any AI agent and manage your AI chatbot fleet through natural conversation.
What you can do
- Bot Management — Create, update, list, and inspect AI chatbots with personality, instructions, and knowledge base configuration
- Knowledge Base Training — Add web page URLs to a bot's knowledge base and review all training sources (URLs, documents, files)
- Conversation History — Browse all chat sessions per bot and inspect the full message history of any conversation
- Live Querying — Send messages to a bot and receive AI-generated responses in real time
- Lead Capture — Retrieve all leads collected by the chatbot during customer conversations
- Performance Analytics — Track usage metrics including conversation volume, message count, resolution rate, and customer satisfaction
How it works
1. Subscribe to this server
2. Enter your Botsonic API Token from your Writesonic dashboard
3. Start managing your chatbot fleet from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Customer Support Teams — monitor bot conversations, review resolution rates, and capture leads without switching dashboards
- Product Managers — train bots with new knowledge sources and test responses through conversational AI
- Growth Teams — analyze chatbot engagement metrics and lead capture performance across all bots
Built-in capabilities (12)
Add knowledge URL
Verify connectivity
Create a bot
Get bot details
Get bot analytics
Get conversation
List all bots
List conversations
List knowledge base
List captured leads
Send message to bot
Update a bot
Why LlamaIndex?
LlamaIndex agents combine Botsonic tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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Data-first architecture: LlamaIndex agents combine Botsonic tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Botsonic tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Botsonic, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Botsonic tools were called, what data was returned, and how it influenced the final answer
Botsonic in LlamaIndex
Botsonic and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Botsonic to LlamaIndex 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 Botsonic in LlamaIndex
The Botsonic 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 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LlamaIndex 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
Botsonic for LlamaIndex
Every tool call from LlamaIndex to the Botsonic MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I train a bot by adding web pages to its knowledge base?
Yes! The add_knowledge_url action accepts a Bot ID and a URL. Botsonic will crawl the page and add its content to the bot's training data. Use list_knowledge_base to review all sources (URLs, documents, files) currently training a specific bot.
Can I retrieve leads captured by my chatbot during customer interactions?
Yes. The list_leads tool retrieves all leads collected by a specific bot during conversations, including contact details, conversation context, and capture timestamp. This is ideal for syncing chatbot-qualified leads into your CRM.
How can I measure the performance of my chatbots?
Use get_bot_analytics with the Bot ID. It returns conversation count, total messages, resolution rate (percentage of conversations resolved without human handoff), and customer satisfaction scores. Compare across bots to identify which ones need KB improvements.
How does LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Botsonic tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
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Install: pip install llama-index-tools-mcp