tradefloor-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| analyze_structureA | Read market structure: trend, character shifts (ChoCh) and continuation breaks (BOS). Returns the current trend, every structural break in the window with its time and price, the last validated swing high and low, the potential swing levels a pullback is forming against, and the impulse peak or trough of the current leg. Give a coin (BTC, ETH, SOL; tokenised equities as xyz:AAPL) to fetch candles from Hyperliquid's public endpoint, or pass your own candles, or neither to see a worked example on bundled ETH-15m data. Set include_candles=true when you intend to DRAW the result: the response then carries the candles themselves, on the same time scale as the levels. |
| find_liquidity_sweepsA | Find stop-hunts: breaks that first ran the liquidity resting past a level. A sweep is a structural break whose candle pushed through one or more prior swing levels before closing back inside. Each result names the sweeping candle and every level it took out, which is what separates an engineered break from a clean one. Same input options as analyze_structure. |
| find_blocksB | Find fair value gaps, order blocks and the pullback zones holding them. Reports blocks on the current impulse leg, then again per Fibonacci pullback zone (discount, equilibrium, premium, golden pocket), and says which zones price is sitting in right now. Same input options as analyze_structure. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 3 tools
Each tool targets a distinct analytical concern: analyze_structure provides the overall structural read, find_liquidity_sweeps isolates stop-hunts, and find_blocks identifies FVGs/order blocks. There is no meaningful overlap that would cause an agent to select the wrong tool, especially with explicit output descriptions.
All tool names follow a consistent [action]_[object] snake_case pattern: analyze_structure, find_liquidity_sweeps, find_blocks. The verbs are sensible and the objects clearly describe the returned market-structure concept.
Three tools is on the lower end but not thin for a focused market-structure analysis server; each tool covers a distinct pillar (structure, liquidity sweeps, blocks). The count is well-scoped for the stated purpose and no tool feels redundant.
The set covers the core SMC analysis workflow: overall structure, sweeps, and blocks, with consistent input options and candle drawing support. It is slightly incomplete for broader tradefloor workflows—there is no batch/multi-coin scan or order-flow/volume tool—but agents can work around that for single-symbol structural analysis.