Bring Content Scheduling
to LlamaIndex
Learn how to connect Typefully to LlamaIndex and start using 9 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Typefully MCP Server?
Connect your Typefully account to any AI agent and simplify how you draft, schedule, and publish high-engagement content for X (Twitter) and LinkedIn through natural conversation.
What you can do
- Draft Management — List all your content drafts and retrieve detailed text and settings for specific ideas.
- Instant Publishing — Post content immediately to all your enabled social platforms directly via AI commands.
- Smart Scheduling — Schedule your posts for a specific time or use the 'next-free-slot' feature to optimize your queue.
- Account Directory — List all connected social sets and brands managed in your Typefully workspace.
- Draft Lifecycle — Create, update, and delete drafts programmatically to maintain your content pipeline.
- User Insights — Retrieve your profile details and verify account configurations directly from the agent.
How it works
1. Subscribe to this server
2. Enter your Typefully Personal API Key (found in your settings under API)
3. Start managing your social presence from Claude, Cursor, or any MCP client
Who is this for?
- Content Creators & Influencers — quickly draft threads and schedule posts via simple AI commands.
- Marketing Managers — monitor content queues and publish updates across multiple brands directly from the workspace.
- Social Media Teams — coordinate draft reviews and optimize publishing times via the AI assistant.
Built-in capabilities (9)
Create a new content draft
Remove a draft
Get details for a draft
Get your Typefully profile
List content drafts
List connected social accounts
Publish content right now
Schedule content for later
Modify an existing draft
Why LlamaIndex?
LlamaIndex agents combine Typefully tool responses with indexed documents for comprehensive, grounded answers. Connect 9 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 Typefully tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Typefully tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Typefully, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Typefully tools were called, what data was returned, and how it influenced the final answer
Typefully in LlamaIndex
Typefully and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Typefully 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 Typefully in LlamaIndex
The Typefully 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 9 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
Typefully for LlamaIndex
Every tool call from LlamaIndex to the Typefully MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I publish to both X and LinkedIn at the same time?
Yes! When using the publish_immediately tool, you can specify the target platform or let Typefully post to all enabled channels for that social set.
How do I schedule a post for the next available time slot?
Use the schedule_content tool and set the publishAt parameter to 'next-free-slot'. Typefully will automatically place the post in the best upcoming time according to your queue settings.
Is it possible to see the content of an existing draft?
Absolutely. Use the get_draft_details tool and provide the Social Set ID and Draft ID. The agent will retrieve the full text and configuration for that draft.
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 Typefully 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