TOCA MCP Server

TOCA MCP Server

Deterministic execution layer for ChatGPT that manages TOCA_OS business operations from Google Drive, enabling Instagram scheduling and publishing with idempotent provider-backed reconciliation.

Category
Visit Server

README

TOCA MCP Server

Deterministic execution layer for ChatGPT governed by the TOCA_OS business source of truth in Google Drive.

Production status

The repository is beyond bootstrap. The production foundation currently includes:

  • private Streamable HTTP MCP transport at /mcp;
  • health/readiness boundaries;
  • Meta OAuth, webhook and secret-management boundaries;
  • provider-backed Instagram history/insights reads;
  • Meta Ads read capabilities;
  • persistent PostgreSQL scheduling;
  • TOCA-managed Instagram scheduling tools;
  • an autonomous singleton Cloud Run daemon that claims due jobs from PostgreSQL;
  • idempotent Instagram publication with provider-backed reconciliation before retry;
  • private GCS asset delivery through short-lived signed URLs;
  • audit, dead-letter and fail-closed execution controls.

TOCA_OS / Google Drive remains the business source of truth. GitHub is the source of truth for code, schemas, tests and infrastructure. External providers remain authoritative for external side effects.

Active production topology

ChatGPT
  -> TOCA_OS business policy/context
  -> private TOCA MCP service
       -> typed MCP tools
       -> PostgreSQL scheduled_jobs / audit_events / provider_publications
  -> TOCA-managed Instagram daemon (singleton Cloud Run service)
       -> claimDue()
       -> approval/audit gate
       -> provider reconciliation
       -> idempotent Instagram publication
       -> provider confirmation

Scheduling is an application operation and must use the protected instagram.toca_schedule.* MCP surface. Git commits and application redeploys are not the normal publication clock or scheduling API.

Quality gate

Every promoted change must pass:

pnpm install --frozen-lockfile
pnpm format:check
pnpm architecture:check
pnpm lint
pnpm typecheck
pnpm test
pnpm build

See docs/architecture/README.md, docs/architecture/routes-capabilities-v1.md, docs/architecture/toca-managed-instagram-scheduler-v1.md and docs/operations/infrastructure-control-plane.md for the current contracts.

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
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
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
VeyraX MCP

VeyraX MCP

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

Official
Featured
Local
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
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
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
E2B

E2B

Using MCP to run code via e2b.

Official
Featured