3,400+ MCP servers ready to use
Vinkius
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Bring Document Automation
to LlamaIndex

Learn how to connect Knackly to LlamaIndex and start using 8 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Create Data RecordGet Record DetailsList CatalogsList Data ModelsList Data RecordsList Generated DocumentsList WebhooksList Workspaces
Use with Your AI Agent
Ask AI about this MCP Server
ChatGPT Claude Perplexity

What is the Knackly MCP Server?

Connect your Knackly account to any AI agent and automate document generation through natural conversation.

What you can do

  • Template Management — Browse templates and their field configurations
  • Document Generation — Create documents from templates with field data
  • App Browsing — List all Knackly apps and their configurations
  • Generation History — Track document generation history and outputs

How it works

1. Subscribe to this server
2. Enter your Knackly API Key
3. Start generating documents from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Legal Teams — generate contracts and legal documents from templates
  • Operations — automate repetitive document creation
  • Sales — create proposals and agreements on demand

Built-in capabilities (8)

create_data_record

Add a new record

get_record_details

Get details for a specific record

list_catalogs

List catalogs in a workspace

list_data_models

List models in a catalog

list_data_records

List records for a model

list_generated_documents

List automated documents

list_webhooks

List configured webhooks

list_workspaces

List Knackly workspaces

Why LlamaIndex?

LlamaIndex agents combine Knackly tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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.

  • —

    Data-first architecture: LlamaIndex agents combine Knackly tool responses with indexed documents for comprehensive, grounded answers

  • —

    Query pipeline framework lets you chain Knackly tool calls with transformations, filters, and re-rankers in a typed pipeline

  • —

    Multi-source reasoning: agents can query Knackly, a vector store, and a SQL database in a single turn and synthesize results

  • —

    Observability integrations show exactly what Knackly tools were called, what data was returned, and how it influenced the final answer

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See it in action

Knackly in LlamaIndex

AI Agent→Vinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Knackly and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect Knackly 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.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Use with Your AI Agent View step-by-step setup guide for LlamaIndex →
Enterprise Security

Why teams choose Vinkius for Knackly in LlamaIndex

The Knackly 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 8 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.

Use with Your AI Agent View full Knackly details →
Knackly
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

The Vinkius Advantage

How Vinkius secures Knackly for LlamaIndex

Every tool call from LlamaIndex to the Knackly MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can I generate documents from templates through the AI agent?

Yes. Browse available templates, inspect their required fields, and generate documents by providing field values. Output documents are created automatically.

02

Can I browse available apps and templates?

Yes. List all Knackly apps and their associated templates with field configurations, data types, and validation rules.

03

What API endpoint does Knackly use?

Knackly uses Bearer authentication against api.knackly.io/v1.

04

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.

05

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Knackly tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.

06

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

07

BasicMCPClient not found

Install: pip install llama-index-tools-mcp