Timepoint MCP
OfficialSupports Apple IAP (In-App Purchase) for billing and payment processing through the Timepoint Billing service, enabling subscription management for Timepoint AI services.
Used for deployment of the MCP server via Docker containers on Railway, providing containerized runtime environment for the Timepoint AI service infrastructure.
Hosts the open source repositories for Timepoint AI services including Flash, Clockchain, Pro, Proteus, TDF, SNAG Bench, and the MCP server itself.
Supports Google OAuth authentication through the Timepoint API Gateway, enabling user authentication and access control for Timepoint AI services.
Provides iOS client application (timepoint-iphone-app) for accessing Timepoint AI services, enabling synthetic time travel and historical exploration on mobile devices.
Serves as the primary database for the MCP server, storing API keys, usage logs, and operational data for the Timepoint AI platform.
Primary implementation language for the MCP server and associated Timepoint AI services including Flash, Clockchain, Pro, and TDF, using FastMCP and Starlette frameworks.
Hosting and deployment platform for the MCP server, providing Docker-based infrastructure for running the Timepoint AI MCP service in production.
Payment processing integration through the Timepoint Billing service, handling subscription payments, credit purchases, and financial transactions for Timepoint AI services.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Timepoint MCPSearch for key moments in the French Revolution and let me chat with a citizen"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
timepoint-mcp
MCP server for the Timepoint AI temporal knowledge platform.
Live at: mcp.timepointai.com
What is this?
A hosted Model Context Protocol server that gives AI agents structured access to the Timepoint ecosystem:
Search & browse a continuously growing temporal causal graph of historical moments spanning 700 BCE to 2026
Generate moments — rich historical scenes rendered by the Flash reality-writing engine
Publish moments — promote your private moments into the public clockchain
Index TDF records — load pre-formatted Timepoint Data Format records directly (admin)
Planned: temporal navigation, character chat, and multi-entity SNAG simulations.
Works with Claude Desktop, Cursor, Windsurf, VS Code Copilot, the Anthropic Agent SDK, and any MCP-compatible client.
Related MCP server: Bi-Temporal Knowledge Graph MCP Server
Get an API key
Visit timepointai.com or reach out on X @timepointai to request access.
Clockchain read tools (search, browse, moment detail) work without authentication, rate-limited at 30 req/min. Write tools require an API key with the appropriate scope, and generation also requires credits.
Quick start
Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"timepoint": {
"url": "https://mcp.timepointai.com/mcp",
"headers": {
"X-API-Key": "tp_mcp_..."
}
}
}
}Cursor / Windsurf
Add to .cursor/mcp.json or equivalent:
{
"mcpServers": {
"timepoint": {
"url": "https://mcp.timepointai.com/mcp",
"headers": {
"X-API-Key": "tp_mcp_..."
}
}
}
}Anthropic Agent SDK
from claude_agent_sdk import Agent
from claude_agent_sdk.mcp import MCPServerRemote
agent = Agent(
model="claude-sonnet-4-6",
mcp_servers=[
MCPServerRemote(
url="https://mcp.timepointai.com/mcp",
headers={"X-API-Key": "tp_mcp_..."},
)
],
)
result = agent.run("What happened in Rome in 44 BC?")Local development
git clone https://github.com/timepointai/timepoint-mcp.git
cd timepoint-mcp
pip install -e .
# stdio transport (for Claude Desktop local)
python -m app.server --transport stdio
# HTTP transport (for remote testing)
python -m app.server --transport http --port 8000Available tools
Clockchain read tools — live now
No authentication required; anonymous callers are rate-limited.
Tool | Description |
| Search the temporal causal graph for historical events |
| Get full detail for a historical moment by its canonical path |
| Browse the graph hierarchy — year, month, day, location, event |
| Get causal/thematic connections: what caused this, what it caused |
| Events that happened on today's date across all eras |
| A random historical moment for serendipitous discovery |
| Node/edge counts, date range, source distribution |
Write tools — live now
Require an API key with the listed scope.
Tool | Scope | Credits | Description |
|
| 5-10 | Generate a historical moment with Flash. Presets: |
|
| 0 | Publish one of your private moments into the public clockchain |
|
| 0 | Index a pre-formatted TDF record directly into the clockchain |
Planned
Temporal navigation — step forward/backward in time from an existing moment
Character chat — converse with historical characters in context
Simulations — multi-entity temporal scenarios via the SNAG engine
Pricing
Tier | Price | Monthly Credits | Rate Limit |
Anonymous | Free | — | 30 req/min (read-only) |
Free | Free | 5 signup credits | 60 req/min |
Explorer | $7.99/mo | 100 | 60 req/min |
Creator | $19.99/mo | 300 | 300 req/min |
Studio | $49.99/mo | 1,000 | 1,000 req/min |
Credit packs are also available as one-time purchases.
HTTP endpoints
In addition to the MCP protocol at /mcp, the server exposes:
Method | Path | Description |
GET |
| Landing page (JSON for agents, redirect to timepointai.com for browsers) |
GET |
| Service health check |
GET |
| Auth status and resolved tier |
POST |
| Create an API key (requires |
Architecture
MCP Clients (Claude Desktop, Cursor, agents, SDKs)
|
| Streamable HTTP + X-API-Key
v
timepoint-mcp (mcp.timepointai.com)
FastMCP + Starlette + asyncpg
|
-----+----------+-------------+----------+
| | | |
v v v v
Clockchain Flash API Gateway Billing
(graph) (writer) (credits) (tiers)The MCP server is a thin coordination layer. It authenticates requests via API keys, resolves user tiers via Billing, checks and spends credits via the API Gateway, routes tool calls to the appropriate backend, and enforces per-tier rate limits. It never stores credits or subscriptions — the Gateway and Billing own those.
Tech stack
Python 3.11+ with FastMCP, Starlette, httpx, asyncpg, uvicorn
Transport: Streamable HTTP (production), stdio (local dev)
Database: PostgreSQL (API keys + usage logs)
Deployment: Railway (Docker)
Environment variables
# Downstream services
FLASH_URL=https://flash.timepointai.com
FLASH_OUTBOUND_KEY=... # key sent to Flash as X-Service-Key (legacy alias: FLASH_SERVICE_KEY)
FLASH_ADMIN_KEY=... # admin key gating POST /admin/create-key
CLOCKCHAIN_URL=...
CLOCKCHAIN_SERVICE_KEY=...
BILLING_URL=...
BILLING_SERVICE_KEY=...
GATEWAY_URL=... # API Gateway — owns the credit ledger
GATEWAY_SERVICE_KEY=...
# Database
DATABASE_URL=postgresql://... # API keys + usage logs; runs anonymous-only if unset
# Server
PORT=8000 # honored by the Docker CMD (Railway sets this)
MCP_HOST=0.0.0.0 # defaults to 0.0.0.0; MCP_PORT defaults to 8000
MCP_SIGNING_SECRET=... # request-signing secretTimepoint Suite
Render the past. Simulate the future. Score the predictions. Accumulate the graph.
Service | Type | Repo | Role |
Flash | Open Source | timepoint-flash | Reality Writer — pure generation engine (no auth), renders grounded historical moments |
Clockchain | Open Source | timepoint-clockchain | Temporal Causal Graph — a continuously growing temporal causal graph with an MCP endpoint |
Proteus | Open Source | proteus | Settlement Layer — prediction markets for Rendered Futures |
TDF | Open Source | timepoint-tdf | Data Format — JSON-LD interchange across all services |
SNAG Bench | Open Source | timepoint-snag-bench | Quality Certifier — measures Causal Resolution across renderings |
MCP | Public | timepoint-mcp | MCP Server — AI agent access to Flash and Clockchain |
License
Proprietary. Copyright 2026 Timepoint AI.
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