Bring Url Shortener
to LlamaIndex
Learn how to connect AB.GL to LlamaIndex 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 AB.GL MCP Server?
Connect your AB.GL account to any AI agent and manage your entire link shortening and analytics workflow through natural conversation.
What you can do
- Create Short Links — Shorten any URL with an optional custom alias for branded campaigns
- Link Management — List, inspect, update, and delete shortened URLs from your account
- Click Analytics — View detailed click statistics including referrers, devices, and geographic data for any link
- Bio Link Pages — List and inspect bio link pages with blocks and appearance settings
- Custom Domains — View all custom domains configured for your short links
- Account Monitoring — Verify API connectivity and account status
How it works
1. Subscribe to this server
2. Enter your API Key from your AB.GL account settings
3. Start managing links from Claude, Cursor, or any MCP client
Who is this for?
- Marketing Teams — create branded short links and track campaign performance in real time
- Content Creators — manage bio link pages and monitor audience engagement
- Growth Engineers — automate link creation for A/B testing and attribution tracking
Built-in capabilities (10)
Verify API connectivity
gl. Create a short link
Delete a short link
Get bio page details
Get link details
Get link analytics
List bio pages
gl short links. List custom domains
gl account with click counts and creation dates. List all short links
Update a short link
Why LlamaIndex?
LlamaIndex agents combine AB.GL tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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 AB.GL tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain AB.GL tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query AB.GL, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what AB.GL tools were called, what data was returned, and how it influenced the final answer
AB.GL in LlamaIndex
AB.GL and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect AB.GL 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 AB.GL in LlamaIndex
The AB.GL 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 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
AB.GL for LlamaIndex
Every tool call from LlamaIndex to the AB.GL MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can my AI create branded short links with custom aliases?
Yes. Use the create_short_link tool with the URL and an optional alias parameter. For example, ask your agent to shorten 'example.com/campaign' with alias 'summer24'.
How do I view click analytics for a specific link?
Use the get_link_stats tool with the link ID. The agent returns total clicks, referrer sources, device breakdown, and geographic distribution.
Can I manage and delete links through the AI?
Yes. The update_link tool changes the destination URL of an existing link, and delete_link permanently removes it from your account. Both require the link ID.
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 AB.GL 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
