Bring Kpi Tracking
to LlamaIndex
Learn how to connect Plecto to LlamaIndex and start using 11 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Plecto MCP Server?
Connect your Plecto account to any AI agent and simplify your KPI tracking, performance management, and dashboard orchestration through natural conversation.
What you can do
- Data Registrations — List all data entries for any data source, retrieve detailed metadata, and monitor real-time values
- Direct Execution — Create new data registrations programmatically directly from your agent to feed your dashboards
- KPI Dashboards — Query all configured KPI dashboards and retrieve detailed metadata to monitor performance
- Team Coordination — List organizational teams and employees to manage access and resource allocation
- Data Sources — Query all configured data sources to choose the right context for each interaction
How it works
1. Subscribe to this server
2. Enter your Plecto API Token from your account settings
3. Start managing your performance dashboards from Claude, Cursor, or any MCP-compatible client
Built-in capabilities (11)
Add a new data entry
Get details for a specific dashboard
Get details for a specific employee
Get details for a specific data registration
List account employees
List Plecto registrations
List Plecto data sources
List all KPI formulas
List Plecto dashboards
List teams
List all widgets on a dashboard
Why LlamaIndex?
LlamaIndex agents combine Plecto tool responses with indexed documents for comprehensive, grounded answers. Connect 11 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 Plecto tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Plecto tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Plecto, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Plecto tools were called, what data was returned, and how it influenced the final answer
Plecto in LlamaIndex
Plecto and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Plecto 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 Plecto in LlamaIndex
The Plecto 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 11 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
Plecto for LlamaIndex
Every tool call from LlamaIndex to the Plecto MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I add a new data registration using my AI agent?
Yes! Use the create_data_registration action. Provide the Data Source ID along with your data fields to feed your dashboard programmatically.
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 Plecto 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.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp