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.
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
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
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.
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.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
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.
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.
Neon Database
MCP server for interacting with Neon Management API and databases
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.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
E2B
Using MCP to run code via e2b.