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Vinkius
LlamaIndexFramework
LlamaIndex
Hashnode MCP Server

Bring Blogging
to LlamaIndex

Learn how to connect Hashnode to LlamaIndex and start using 5 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 PostGet PostGet Publication PostsGet UserUpdate Post

Compatible with every major AI agent and IDE

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

What is the Hashnode MCP Server?

Connect your Hashnode account to any AI agent to streamline your technical writing and blogging workflow. This MCP server allows you to interact with the Hashnode GraphQL API through natural language.

What you can do

  • User Profiles — Retrieve detailed information about any Hashnode user by their handle using get_user.
  • Publication Management — List all posts from a specific publication using its domain or hostname with get_publication_posts.
  • Content Retrieval — Fetch full post content and metadata using slugs and hostnames via get_post.
  • Publishing — Create and publish new blog posts with Markdown support and custom tags using create_post directly from your conversation.
  • Editing — Update existing posts, titles, and content with update_post without leaving your AI interface.

How it works

  1. Subscribe to this server
  2. Enter your Hashnode Personal Access Token
  3. Start managing your technical blog from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Technical Writers — Draft and publish articles directly from your AI-assisted writing environment.
  • Developers — Share knowledge and updates on your Hashnode blog without switching contexts.
  • Content Managers — Monitor publication feeds and update existing posts efficiently.

Built-in capabilities (5)

create_post

Publish a new post to a publication

get_post

Get a single post by its slug

get_publication_posts

Get a list of posts from a specific publication

get_user

Get details about a specific Hashnode user

update_post

Modify an existing post

Why LlamaIndex?

LlamaIndex agents combine Hashnode tool responses with indexed documents for comprehensive, grounded answers. Connect 5 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 Hashnode tool responses with indexed documents for comprehensive, grounded answers

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

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

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

L
See it in action

Hashnode in LlamaIndex

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

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

Teams that connect Hashnode 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 Hashnode in LlamaIndex

The Hashnode 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 5 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.

Hashnode
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 Hashnode for LlamaIndex

Every tool call from LlamaIndex to the Hashnode 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 fetch profile details for any Hashnode user?

Yes! Use the get_user tool with the specific username handle. The agent will return their profile information, bio, and social links.

02

Does the publishing tool support Markdown formatting?

Absolutely. Both create_post and update_post accept contentMarkdown, allowing you to publish rich technical content with code blocks, headers, and links.

03

How do I list posts from a specific blog domain?

Use the get_publication_posts tool and provide the host domain (e.g., 'engineering.hashnode.dev' or your custom domain). It will return a list of recent posts from that publication.

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 Hashnode 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

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