Aframe MCP Connector

Aframe MCP Connector

Enables Claude to create and manage transactions in Aframe via the Aframe Open API, supporting transaction creation and note addition.

Category
Visit Server

README

Aframe MCP Connector

A Node.js MCP server that bridges Claude sessions to the Aframe Open API. Deployed on Railway, exposed to Claude.ai as a custom remote MCP connector.

Status

v0.2.0 — POC validated, expanded to core transaction CRUD + custom fields.

Tools

Tool Description
create_transaction Create a new transaction in Aframe
get_transaction Fetch an existing transaction by ID (full payload incl. custom fields)
update_transaction PATCH transaction fields (partial update via JSON Patch under the hood)
update_custom_field PATCH a custom/merge field by Merge Field Code (e.g. f_EarnestMoney)
add_transaction_note Add an activity note to an existing transaction

Architecture

Claude.ai session
  ↓  (custom MCP connector — Streamable HTTP)
Railway service (this repo)
  ↓  (HTTPS with X-AFrame-API-Key header)
Aframe Open API

Local development

  1. npm install
  2. Copy .env.example to .env and fill in AFRAME_API_KEY
  3. npm start
  4. Verify health: curl http://localhost:3000/ → {"status":"ok",...}

Deployment (Railway)

Auto-deploys on push to main. Required environment variable:

  • AFRAME_API_KEY — your Aframe API key

Generate a public domain under Settings → Networking after the first deploy.

Connecting to Claude.ai

Settings → Connectors → Add custom connector → paste https://<railway-url>/mcp → Add.

Tools become available in any new conversation with the connector enabled.

Implementation notes

Aframe response envelope: { payload, error }. The error block can appear alongside payload on 2xx success responses (as validation warnings, e.g. "defaulted to current AppUser"). HTTP status is the authoritative success/failure signal — error on 2xx is surfaced as warnings, not thrown.

JSON Patch (RFC 6902): Aframe's PATCH endpoints (update_transaction, update_custom_field) require an array of patch operations with Content-Type: application/json-patch+json. The MCP tools accept friendly flat-object inputs (e.g. { closingDate: "2026-08-15" }) and the client internally constructs the patch array. Callers never need to write RFC 6902 syntax.

Custom fields: Stored as a flat xactionFieldData map keyed by Merge Field Code (e.g. f_EarnestMoney). All values are strings regardless of underlying type — Aframe handles type coercion server-side.

Auth note

This service runs authless. Acceptable for development since the Railway subdomain is effectively unguessable, but not suitable for production. Claude.ai's custom connector UI does not currently support pasted bearer tokens (per the connector auth docs); production use will require OAuth 2.1 with PKCE.

Version history

  • v0.2.0 — Added get_transaction, update_transaction, update_custom_field. Fixed response envelope parsing to treat error on 2xx as warnings rather than failures. JSON Patch helper for PATCH endpoints.
  • v0.1.0 — Initial POC with create_transaction and add_transaction_note.

Reference

  • Aframe Open API: https://api.aframeonline.com/api-pub/swagger-ui/index.html
  • MCP spec: https://modelcontextprotocol.io
  • Claude custom connectors: https://support.claude.com/en/articles/11175166-get-started-with-custom-connectors-using-remote-mcp
  • JSON Patch (RFC 6902): https://datatracker.ietf.org/doc/html/rfc6902

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
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
Qdrant Server

Qdrant Server

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

Official
Featured