TradeMemory is a memory layer for AI trading agents that records and recalls past trades and outcomes, ensuring compliance with regulatory requirements for algorithmic decision documentation.
From the registry: MCP memory for AI trading agents. Store trades, recall similar setups, track strategy performance.

$ python3 --versionPlease install the `tradememory-protocol` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Python** — Python 3.x required Run: `python3 --version`
Canonical MCP server config (stdio transport):
- command: `uvx`
- args: ["tradememory-protocol"]
Note: Trading memory layer with 17 MCP tools. Records, recalls, and audits AI trading decisions with SHA-256 tamper-proof trail. No API keys required for local use. Also supports Docker.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.SEC filing intelligence — insider sentiment, material events, financial ratios, disclosure search.
Open-source SEC EDGAR toolkit — 11 tools, 7 prompts, every filing type. No API key required.
MCP server integrating with Stripe - tools for customers, products, payments, and more.