4,000+ servers built on vurb.ts
Vinkius
LlamaIndexFramework
LlamaIndex
Loomly MCP Server

Bring Content Calendar
to LlamaIndex

Learn how to connect Loomly 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.

MCP Inspector GDPR Free for Subscribers
Create New PostGet Calendar DetailsGet Post DetailsGet User ProfileList Calendar PostsList CalendarsList Media AssetsList Post Interactions

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Loomly

What is the Loomly MCP Server?

Connect your Loomly account to any AI agent and manage social media through natural conversation.

What you can do

  • Calendar Management — Browse content calendars and scheduled posts
  • Post Scheduling — Create and schedule posts across social channels
  • Content Tracking — Monitor posts through approval workflows
  • Engagement Analytics — Track likes, shares, comments, and reach
  • Channel Management — Monitor connected social accounts

How it works

  1. Subscribe to this server
  2. Enter your Loomly Access Token
  3. Start managing social media from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Social Media Managers — schedule posts and track performance
  • Marketing Teams — manage content calendars and approvals
  • Agencies — coordinate multi-client social calendars

Built-in capabilities (8)

create_new_post

Add a new post to a calendar

get_calendar_details

Get metadata for a calendar

get_post_details

Get details for a post

get_user_profile

Get your Loomly profile

list_calendar_posts

List posts in a calendar

list_calendars

List your Loomly calendars

list_media_assets

List media in the library

list_post_interactions

List comments and replies

Why LlamaIndex?

LlamaIndex agents combine Loomly 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 Loomly tool responses with indexed documents for comprehensive, grounded answers

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

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

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

L
See it in action

Loomly in LlamaIndex

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Loomly and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Loomly 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.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ 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
Enterprise Security

Why teams choose Vinkius for Loomly in LlamaIndex

The Loomly 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.

Loomly
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 Loomly for LlamaIndex

Every tool call from LlamaIndex to the Loomly 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 schedule posts and manage content calendars?

Yes. Create and schedule posts across connected social channels. Browse content calendars with status and approval workflows.

02

Can I track engagement and social analytics?

Yes. Monitor likes, shares, comments, and reach per post. Track engagement trends and best performing content.

03

What API does Loomly use?

Bearer authentication against api.loomly.com/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 Loomly 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

Explore More MCP Servers

View all →