Compatible with every major AI agent and IDE
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_postdirectly from your conversation. - Editing — Update existing posts, titles, and content with
update_postwithout leaving your AI interface.
How it works
- Subscribe to this server
- Enter your Hashnode Personal Access Token
- 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)
Publish a new post to a publication
Get a single post by its slug
Get a list of posts from a specific publication
Get details about a specific Hashnode user
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
Hashnode in LlamaIndex
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.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ 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 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.

* 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
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.
Frequently asked questions
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.
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.
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.
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 Hashnode 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.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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