Thinchain

MCP server that sanitizes bad broker data and compresses options chains 95% for AI trading agents.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Remote HTTP

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "thinchain": {
      "url": "https://api.tradier.com/v1"
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

ThinChain

The catalytic converter between raw broker data and your AI trading agent.

Battle-tested. Sanitization logic extracted from a production options trading app. Handles every bad tick Tradier has thrown at us in production.

ThinChain Demo

☁️ Moving to production?

The open-source server runs locally with your own API keys. For hosted infrastructure with multi-broker failover, SLA guarantees, and webhook alerts — join the managed cloud waitlist.

The Problem

Tradier's MCP dumps 500-row JSON chains. One bad print can corrupt an agent's reasoning. ThinChain sanitizes, compresses, and circuit-breaks that data before it reaches your model.

Installation

bash

git clone https://github.com/snipmcp/thinchain.git
cd thinchain
pip install -e ".[dev]"
cp .env.example .env

Or with Docker:

bash

docker-compose up --build

Configuration

env

TRADIER_API_KEY=your_key_here
TRADIER_BASE_URL=https://api.tradier.com/v1
POLYGON_API_KEY=your_key_here
POLYGON_BASE_URL=https://api.polygon.io
DEFAULT_BROKER=tradier
CACHE_TTL_SECONDS=30
LOG_LEVEL=INFO

Usage

Three example prompts to send to Claude (or any MCP-compatible agent):

Use get_compressed_chain to get an iron condor setup on SPY expiring 2026-06-19
Check if SPY options data is trustworthy before I place my trade
Get me the ATM straddle strikes for AAPL expiring 2026-06-19

Run it in two terminals

bash

# Tab 1 — start the MCP server
python -m thinchain.server

bash

# Tab 2 — call a tool from a Python shell or your MCP client
# Tool signatures:
#   get_compressed_chain(symbol, expiration, strategy="raw",
#                        delta_range=None, broker="tradier")
#   get_sanitized_quote(symbol, broker="tradier")
#   get_circuit_status(symbol, expiration, broker="tradier")

How it works

Three layers between raw broker output and your model:

Code

Broker API → [Sanitize] → [Compress] → [Circuit Break] → MCP Tool → AI Agent
              hygiene     strategy      anomaly gate
              rules       slicing       + cache

Sanitize: Drops ghost quotes (0.0/0.0), inverted spreads, NaN/empty/dash values, clamps deltas to [-1, 1], normalizes positive theta on long options, flags illiquid strikes.
Compress: Slices the chain to only the strikes relevant to your strategy (iron condor, straddle, etc.) — typically 95%+ token reduction.
Circuit Break: Four-tier data quality (clean / noisy / degraded / circuit_breaker_active). When >65% of rows are anomalous, refuses to serve stale data and falls back to last known-good cache.

Real numbers from a live SPY iron condor (2026-06-19 expiration)

Code

RAW TRADIER PAYLOAD          THINCHAIN OUTPUT
─────────────────────────────────────────────
Rows:        482             Rows:        25
Est tokens:  38,560          Est tokens:  2,000
Token savings:               95%
Anomalous rows removed:      217
Data quality:                noisy → still safely served

ThinChain compresses 482 rows / 38,560 tokens down to 25 rows / 2,000 tokens — and flags 217 anomalous strikes (illiquid, ghost quotes, wide spreads) that would have polluted the agent's context.

Roadmap

Managed cloud tier (hosted, multi-tenant, webhook alerts)
Polygon connector hardening (live SIP feed)
Webhook alerts for circuit breaker trips

Contributing

PRs welcome. Run pytest before submitting.

Read the full README →View source on GitHub →

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Frequently Asked Questions about Thinchain

thinchain is a hosted MCP server. Add it as a remote server in your client's config: "mcpServers": { "thinchain": { "url": "https://api.tradier.com/v1" } }

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More in 💰 Finance & Fintech →Best MCP servers for Finance & Fintech →Alternatives to Thinchain →Install in Claude Desktop Install in Cursor Install in VS Code Setup guides for all 13 MCP clients

Documentation Overview

ThinChain

The catalytic converter between raw broker data and your AI trading agent.

Battle-tested. Sanitization logic extracted from a production options trading app. Handles every bad tick Tradier has thrown at us in production.

ThinChain Demo

☁️ Moving to production?

The open-source server runs locally with your own API keys. For hosted infrastructure with multi-broker failover, SLA guarantees, and webhook alerts — join the managed cloud waitlist.

The Problem

Tradier's MCP dumps 500-row JSON chains. One bad print can corrupt an agent's reasoning. ThinChain sanitizes, compresses, and circuit-breaks that data before it reaches your model.

Installation

bash

git clone https://github.com/snipmcp/thinchain.git
cd thinchain
pip install -e ".[dev]"
cp .env.example .env

Or with Docker:

bash

docker-compose up --build

Configuration

env

TRADIER_API_KEY=your_key_here
TRADIER_BASE_URL=https://api.tradier.com/v1
POLYGON_API_KEY=your_key_here
POLYGON_BASE_URL=https://api.polygon.io
DEFAULT_BROKER=tradier
CACHE_TTL_SECONDS=30
LOG_LEVEL=INFO

Usage

Three example prompts to send to Claude (or any MCP-compatible agent):

Use get_compressed_chain to get an iron condor setup on SPY expiring 2026-06-19
Check if SPY options data is trustworthy before I place my trade
Get me the ATM straddle strikes for AAPL expiring 2026-06-19

Run it in two terminals

bash

# Tab 1 — start the MCP server
python -m thinchain.server

bash

# Tab 2 — call a tool from a Python shell or your MCP client
# Tool signatures:
#   get_compressed_chain(symbol, expiration, strategy="raw",
#                        delta_range=None, broker="tradier")
#   get_sanitized_quote(symbol, broker="tradier")
#   get_circuit_status(symbol, expiration, broker="tradier")

How it works

Three layers between raw broker output and your model:

Code

Broker API → [Sanitize] → [Compress] → [Circuit Break] → MCP Tool → AI Agent
              hygiene     strategy      anomaly gate
              rules       slicing       + cache

Sanitize: Drops ghost quotes (0.0/0.0), inverted spreads, NaN/empty/dash values, clamps deltas to [-1, 1], normalizes positive theta on long options, flags illiquid strikes.
Compress: Slices the chain to only the strikes relevant to your strategy (iron condor, straddle, etc.) — typically 95%+ token reduction.
Circuit Break: Four-tier data quality (clean / noisy / degraded / circuit_breaker_active). When >65% of rows are anomalous, refuses to serve stale data and falls back to last known-good cache.

Real numbers from a live SPY iron condor (2026-06-19 expiration)

Code

RAW TRADIER PAYLOAD          THINCHAIN OUTPUT
─────────────────────────────────────────────
Rows:        482             Rows:        25
Est tokens:  38,560          Est tokens:  2,000
Token savings:               95%
Anomalous rows removed:      217
Data quality:                noisy → still safely served

ThinChain compresses 482 rows / 38,560 tokens down to 25 rows / 2,000 tokens — and flags 217 anomalous strikes (illiquid, ghost quotes, wide spreads) that would have polluted the agent's context.

Roadmap

Managed cloud tier (hosted, multi-tenant, webhook alerts)
Polygon connector hardening (live SIP feed)
Webhook alerts for circuit breaker trips

Contributing

PRs welcome. Run pytest before submitting.