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  1. Home
  2. 💰 Finance & Fintech
  3. EdgeDepth Research
EdgeDepth Research logo
Health: ActiveRecent health check succeeded.Last checked 10/8/2026, 1:46:10 AM

EdgeDepth Research

User RatingsBe the first to rate and review this MCP server!
View Repository3 GitHub StarsTotal stargazers on GitHub for the source repository (3 stars).Visit Website
market-researchcryptomicrostructurefinancemcp

Search recorded Binance USDT-M market microstructure with reproducible MCP research tools and evidence-linked results.

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 CursorAdd to VS Code
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We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON â–¾

Client Config & Setup

Configure Environment Variables (API Keys, Tokens, Options):
Add required secrets below — values are included directly in the generated snippet so you can copy and paste with confidence.
Quick Add:
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "edgedepth-research-2": {
      "command": "npx",
      "args": [
        "-y",
        "@edgedepth/research-mcp"
      ],
      "env": {
        "EDGEDEPTH_API_KEY": "YOUR_VALUE_HERE"
      }
    }
  }
}

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

Install Tool Schemas (15) Directory Badge Claim listing Alternatives💰 More in Finance & Fintech

Overview

The EdgeDepth Research MCP server queries recorded Binance USDT-M crypto perpetuals using deterministic research tools. It exposes a closed feature grammar, instrument coverage, prose-to-query preparation, scans, cohort comparisons, event investigation, and outcome analysis over MCP. Results retain denominators, exclusions, reproducibility keys, and optional replay-linked evidence. Use it when an agent needs to test market-structure conditions across recorded data without executing trades or modifying alerts.

Use cases

•Search recorded order-flow conditions across supported instruments
•Compare matched and predicate-false market populations
•Measure forward returns, MFE, and MAE for every match
•Investigate a recorded market move with replay-linked evidence
•Validate a proposed research query before execution

Key features

•Closed versioned feature grammar
•Deterministic reproducibility keys
•Denominators and coverage exclusions
•Projected and full scan result views
•Cohort and stratified outcome analysis
•Hosted Streamable HTTP and local stdio transports

Capabilities & Tool Schemas (15) ~570 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server — may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by EdgeDepth Research.

list_features

Returns the closed grammar registry: feature ids, types, ranges, operators, windows, sequence rules, limits, and error codes. `search`, `feature_ids` and `compact` narrow it.

list_instruments

Returns the research universe and coverage. The default is a compact summary; use `symbols: [...]` for selected full records or `full: true` for the verbatim canonical universe.

prepare_study

Free deterministic structured preparation, provenance and allowance estimate. Requires the web `/prepare` release first.

interpret_prose

Turns prose into a proposed query document. It does not execute the query. Optional `time_zone` accepts an IANA time zone for calendar planning.

run_scan

Executes a `research_query.v2` document and returns result bytes with counts, denominators, outcomes, the unconditional same-scope reference, and the reproducibility key. Projected by default (`rows`, `full_rows`, `full_counts`).

next_page

Continues a prior scan with its opaque cursor. Never construct cursors manually.

How EdgeDepth Research works

What EdgeDepth Research does

The EdgeDepth Research MCP server gives MCP clients access to EdgeDepth's recorded-market research system for Binance USDT-M crypto perpetuals. It is designed for studies that need an exact condition, a defined eligible population, forward outcomes, and an auditable result rather than a single illustrative chart or example.

The server can describe the available feature grammar and research universe, turn a natural-language request into a proposed query document, execute a research_query.v2 document, and continue paginated scans. It also supports event-focused analysis, including screenshot grounding, move investigation, point-in-time feature snapshots, base rates, commonality, cohort comparisons, and stratified outcomes.

How it works

EdgeDepth Research MCP server uses one tool core through hosted Streamable HTTP or local stdio. The hosted endpoint is https://mcp.edgedepth.com/mcp and uses browser authorization. Local execution runs the npm package with npx and an API key.

A typical workflow starts by checking the grammar or interpreting the research question. prepare_study can validate a structured scope, predicates, and outcome and return an unrun definition with an allowance estimate. interpret_prose produces a proposed query but does not execute it. After approval, run_scan executes the unchanged document. next_page uses the cursor returned by a previous scan; cursors should not be constructed manually.

Scan-family responses are projected by default to reduce client context usage. Options such as full_rows, full_outcomes, and full_counts recover additional detail where supported. Counts, denominators, exclusions, outcome coverage, and the reproducibility key remain part of the result contract.

Setup and configuration

For hosted use, add the MCP URL to a compatible client and complete the EdgeDepth browser authorization flow. Cursor uses an MCP entry with a url, while Codex uses an mcp_servers configuration and codex mcp login edgedepth.

For local stdio, install nothing permanently: run npx -y @edgedepth/research-mcp with EDGEDEPTH_API_KEY set to a key created on the EdgeDepth Developer page. Node.js 20 or newer is required. The research:read scope covers recorded-data tools; research:interpret is additionally needed for interpret_prose.

Tools and capabilities

  • Inspect feature IDs, types, ranges, operators, windows, sequence rules, limits, and error codes with list_features.
  • Check the research universe and coverage with list_instruments.
  • Run scans, retrieve pages, and compare matched predicates with run_scan, next_page, and run_cohort.
  • Analyze recorded events with ground_screenshots, investigate_move, and snapshot_at.
  • Measure prevalence, intersections, stratified populations, and outcome-first patterns with base_rate, commonality, run_stratified, and outcome_first.
  • Retrieve a published report using its eight-character canonical hash with get_report.

Limitations and notes

The EdgeDepth Research MCP server is research-only. Its tools do not trade, change alerts, or publish reports. Fresh scans, cohort calculations, and stratified computations may consume research allowance units, and the response identifies that side effect. prepare_study, interpret_prose, and screenshot grounding are described as free where applicable.

Outcome fields cannot be used as scan filters, which prevents lookahead selection in the supported workflow. Missing data is represented as absent rather than silently converted to zero. Page rows are examples; population counts and outcome denominators should be used for conclusions. The optional private Radar pilot can save account-owned hypotheses only with the separate research:hypotheses permission.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
3
Stargazers on the source repository.
npm downloads
1.7k
Package downloads in the last 30 days.
Last commit
2d ago
Most recent push to the default branch.
Tools exposed
15
Callable tools this server registers over MCP.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

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Frequently Asked Questions about EdgeDepth Research

EdgeDepth Research is an MCP server that connects AI clients to EdgeDepth's recorded Binance USDT-M crypto perpetuals research system. Its main tools describe the feature grammar and instrument universe, prepare or interpret queries, run deterministic scans, compare cohorts, investigate moves, inspect snapshots, and retrieve reproducible research results with denominators.

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Technical Specs & Signals

Category💰Finance & Fintech
More technical detailsExpand â–¾
TransportSTDIO
RuntimeNode.js
ClientsClaude Desktop, Cursor, OpenAI Codex CLI
Last updatedOct 6, 2026
9/9 checks healthy over the last 43d
Views1
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars3
GitHub Star CountTotal stargazers on GitHub representing community popularity (3 stars).
Last commit2d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Oct 6, 2026
npm downloads1,724/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
57Quality signal: Good · 57/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools25/30
Adoption & activity8/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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No high-severity advisories surfaced by our automated scan.

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Scanned 4d ago via OSV.dev · @edgedepth/research-mcp (npm)

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