Now in open beta

Raw data is toxic
for AI agents.

SnipMCP builds and hosts domain-aware MCP servers that sanitize, compress, and circuit-break noisy data feeds before they reach your model. From options chains for AI trading agents (ThinChain) to Google Ads accounts for AI marketing agents (GadsChain) — purpose-built for each domain.

95%
token reduction
482→25
rows after compression
MIT
open-source licensed
2
servers shipping
Cloud tier · multi-broker routing · SLA guarantees
01 — Sanitize
Every bad tick intercepted
Ghost quotes, inverted spreads, impossible delta values, positive theta — caught and coerced before they corrupt your agent's reasoning.
02 — Compress
Your agent declares intent. We return exactly what it needs.
Pass a strategy target. Our server evaluates the math and returns only the precise strike matrix needed. Zero manual configuration required.
03 — Protect
Circuit breakers included
When anomaly rates exceed thresholds, the breaker trips and serves from cache rather than feeding corrupted data to a live agent.
Shipping now
ThinChain
Options chain engine compressed 95% smaller for AI trading agents.
$ pip install thinchain
optionstradingfinance
GitHub ↗PyPI ↗
GadsChain
The AI layer between your Google Ads account and your marketing decisions.
$ pip install gadschain
google-adsmarketingadvertising
GitHub ↗PyPI ↗
$ pip install thinchain
$ cp .env.example .env  # Add your Tradier or Polygon keys
$ python -m thinchain.server

[SUCCESS] ThinChain local server active on port 8000
[REGISTERED] 3 tools exposed to agent:
  - get_compressed_chain()  ──› "Strategy-Intent Optimized"
  - get_sanitized_quote()   ──› "Type-Coerced Edge Feeds"
  - get_circuit_status()    ──› "Fail-Fast Safety Gate"