trip2g

trip2g

Self-hosted knowledge mesh with built-in MCP server enabling AI agents to search and retrieve notes across federated hubs.

Category
Visit Server

README

trip2g

License: MIT Go

Open-source MCP knowledge mesh. Self-host your knowledge bases, expose them to AI agents via MCP, and federate with peers — no SaaS in the middle.

Unlike Obsidian Publish or Quartz, trip2g is a live server: subscriptions, webhook agents, federation between hubs, and an MCP endpoint out of the box.

Try the public hub → · Self-host · Docs

trip2g landing


Second brain network for your agents

A second brain isn't one person's vault — it's the shared knowledge of people who think about the same things.

Each person runs a hub with their own notes. Agents reach into it directly via MCP. Hubs peer with each other, so one question fans out across the network — your bases plus the ones your trusted peers share with you.

   human A           human B           human C
      │                 │                 │
      ▼                 ▼                 ▼
   agent A           agent B           agent C
      │                 │                 │
      ▼                 ▼                 ▼
  ┌────────┐  MCP  ┌────────┐  MCP  ┌────────┐
  │ hub A  │ ◄───► │ hub B  │ ◄───► │ hub C  │
  └────────┘       └────────┘       └────────┘
       ▲                 ▲                 ▲
       └─── humans browse · agents query ──┘

Same hub serves the human (a website with subscriptions, RSS, Telegram) and the agent (MCP). Data lives where you put it. trip2g is a protocol, not a vendor.


Try it now

Add the public knowledge hub to your MCP client:

{
  "mcpServers": {
    "trip2g": {
      "url": "https://trip2g.com/_system/mcp"
    }
  }
}

Ask your agent anything. It searches all connected bases and returns answers with sources.

Want your own? Free cloud instance — no terminal needed.


Core capabilities

Markdown → website

  • Wikilinks ([[note]]), backlinks, outlinks — global resolution, just like Obsidian
  • Composable page layouts via frontmatter: sidebars, magazine grid, TOC, custom note embeds
  • Hybrid search: bleve full-text + OpenAI embeddings, merged via reciprocal rank fusion
  • Custom domains, multi-language with hreflang, RSS output, sitemap

MCP server — built into every hub:

Tool Purpose
search Hybrid full-text + semantic search
note_html Read a note (or a section) by id, path, or match
similar Notes similar to a given note
federated_search / federated_similar / federated_note_html Same, fanned out to peer hubs
instructions Author-defined prompt for the agent

Access is scoped to the caller's subscription. Custom tools can be defined in note frontmatter (mcp_method:).

Webhook agents

  • Change webhooks — POST to an external agent on note create/update/remove. Agent writes notes back via API. Glob filtering, HMAC auth, depth tracking prevents recursion.
  • Cron webhooks — run an agent on a schedule (0 9 * * *). Sync or async. Optional instruction context.

Monetization

  • Subgraph paywalls — group notes into paid products, free notes stay public
  • Crypto payments (NowPayments), Patreon and Boosty integration

Obsidian plugin — one-click sync, hash-based diff, only changed files are uploaded.


Federation

graph LR
    O[Obsidian vault] --> H[your hub]
    T[Telegram]       --> H
    H <-->|MCP federation| H2[peer hub]
    H2 --> B[their bases]
    H -->|/_system/mcp| A[agent]
    H2 -->|/_system/mcp| A

Peer hubs with trusted people or orgs. Each hub controls access per base. One agent question reaches the union of all connected knowledge.

Topology Setup Result
Solo One hub, many bases All your notes, books, courses — one query
Friends Each person runs a hub, hubs peer Union of everyone's knowledge
Company Central hub + per-employee hubs Tribal knowledge and docs — queryable
B2B Two star topologies, one bridge Shared knowledge without merging systems

Sources

Source Status
Obsidian ready — vault stays local, two-way sync
Telegram ready — channel publish + history mirror
RSS output ready — every base exposes feeds
Notion planned
Google Drive planned
Linear, Slack archive, RSS import planned

Template system

Two paths — pick one per knowledge base.

A. Default template (no code, frontmatter-only). Built-in trip2g layout. Compose pages from widgets and content blocks via frontmatter:

---
header: "[[Navigation]]"
left_sidebar: [TOC, inlinks]
content: [selfcontent, magazine]
magazine_include_files: "blog/**/*.md"
footer: "[[Footer]]"
---

Rendered through quicktemplate. Notes can also render as HTML, JSON, RSS via content_type frontmatter.

B. Custom Jet templates (full control). Drop your own .html files into a layouts folder and switch via layout: path/to/template. Templates have access to the markdown AST — iterate sections, render specific parts, customize layout down to HTML. Built on the Jet template engine.


Self-host

docker compose up

Full guide → · MIT · SQLite, no external dependencies required.


Tech stack

Backend Go, FastHTTP, gqlgen (GraphQL)
Database SQLite + Litestream for streaming backup
Search bleve (full-text) + OpenAI embeddings (semantic)
Markdown Goldmark — wikilinks, frontmatter
Templates quicktemplate (default) + Jet (custom)
Frontend $mol, TypeScript, Tiptap
Assets S3-compatible (MinIO for dev)

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured