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  3. EdgeDepth Research
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Health: ActiveRecent health check succeeded.Last checked 8/27/2026, 12:31:26 AM

EdgeDepth Research

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository2 GitHub StarsTotal stargazers on GitHub for the source repository (2 stars).

Search recorded crypto and TradFi microstructure through deterministic, reproducible agent tools.

Quick Install

Automated & IDE Setup

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

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

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"
      ]
    }
  }
}

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

Install Tool Schemas (11) Directory Badge Claim listing AlternativesπŸ’° More in Finance & Fintech

Capabilities & Tool Schemas (11) ~342 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Self-reportedParsed from the repository README, not verified against a live server β€” may be incomplete or out of date.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.

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.

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 canonical result bytes with counts, denominators, outcomes, the unconditional same-scope reference, and the reproducibility key.

next_page

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

snapshot_at

Reads registry feature values, window aggregates, and fired rules as of a recorded moment.

Documentation Overview

EdgeDepth Research MCP Server

@edgedepth/research-mcp is the official, research-only Model Context Protocol server for EdgeDepth, a market microstructure search engine over recorded Binance USDT-M crypto and TradFi perpetuals. Use it from ChatGPT, Claude, Cursor, Codex, or any MCP client to find every verified occurrence of a market condition, inspect forward outcomes across the complete matched set, read an unconditional same-scope reference, and open replay-linked evidence.

Every result includes counts with denominators and a reproducibility key. Same key, same bytes.

Website Β· Search the market Β· REST API documentation Β· MCP setup guide Β· Learning hub

Why use EdgeDepth Research?

  • Search recorded market microstructure: query a closed, versioned feature registry covering order flow, price action, volatility, funding, open interest, positioning, candle formations, and liquidations.
  • Keep the denominator: every count reports the eligible population and exclusions behind it. Missing data is absent, never silently changed to zero.
  • Measure outcomes without lookahead selection: forward returns, MFE, and MAE are computed over all occurrences. Outcome fields cannot be used as filters.
  • Compare matched and baseline populations: deterministic cohort results put the matched distribution beside every other eligible predicate-false bucket.
  • Audit and replay the evidence: results carry a reproducibility key, and representative occurrences include authenticated web handoffs to the exact recorded market moment.
  • Stay research-only: no tool trades, modifies alerts, publishes reports, or writes account data. A fresh scan, cohort, or stratified computation can consume research allowance units; the annotations state that side effect explicitly.

Choose a connection

The package exposes one tool core through two transports:

  • Hosted MCP (recommended): connect to https://mcp.edgedepth.com/mcp over Streamable HTTP and authorize once in your browser. No API key to copy.
  • Local stdio: run npx -y @edgedepth/research-mcp with an EdgeDepth API key.

Connect

Claude Desktop

In Settings > Connectors > Add custom connector, enter:

text
https://mcp.edgedepth.com/mcp

Complete the EdgeDepth browser authorization prompt.

Cursor (~/.cursor/mcp.json)

config.json
{
  "mcpServers": {
    "edgedepth-research": {
      "url": "https://mcp.edgedepth.com/mcp"
    }
  }
}

Codex (~/.codex/config.toml)

toml
[mcp_servers.edgedepth]
url = "https://mcp.edgedepth.com/mcp"

Then run:

bash
codex mcp login edgedepth

Remove any old bearer_token_env_var line before using browser OAuth.

Local stdio with npx

Create a key on the EdgeDepth Developer page, then add:

config.json
{
  "mcpServers": {
    "edgedepth-research": {
      "command": "npx",
      "args": ["-y", "@edgedepth/research-mcp"],
      "env": {
        "EDGEDEPTH_API_KEY": "edk_live_YOUR_KEY"
      }
    }
  }
}

Local stdio requires Node.js 20 or newer. Use the research:read key scope for recorded-data tools and add research:interpret only when you need the free interpret_prose proposal step.

Recommended agent workflow

  1. Call list_features first. It is the live, closed grammar and prevents invented fields.
  2. Call list_instruments to check the manifest-derived universe, coverage, and provenance.
  3. If starting from natural language, call interpret_prose. It returns a proposed document and never executes it.
  4. Inspect or show that proposal, then pass the exact document to run_scan.
  5. Read rates from outcomes_summary, which covers all occurrences. Page rows are examples, never the denominator.
  6. Read the appended unconditional same-scope reference when available. It is not matched, comparable, or a causal control.
  7. Return the full reproducibility key with the answer and one replay handoff. Use next_page only with a cursor returned by the API.

Example instruction for an MCP client:

text
Call list_features first, then list_instruments for btcusdt and ethusdt.
Propose an exact query for elevated VPIN and one-sided taker flow over the last
seven complete UTC days. Show me the proposed document before running it.
Report counts with denominators, summarize outcomes over all occurrences, and
include the full reproducibility key.

Tools

ToolWhat it does
list_featuresReturns the closed grammar registry: feature ids, types, ranges, operators, windows, sequence rules, limits, and error codes.
list_instrumentsReturns 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.
interpret_proseTurns prose into a proposed query document. It does not execute the query. Optional time_zone accepts an IANA time zone for calendar planning.
run_scanExecutes a research_query.v2 document and returns canonical result bytes with counts, denominators, outcomes, the unconditional same-scope reference, and the reproducibility key.
next_pageContinues a prior scan with its opaque cursor. Never construct cursors manually.
snapshot_atReads registry feature values, window aggregates, and fired rules as of a recorded moment.
base_rateCounts matches and eligible buckets for one clause over a window.
commonalityFinds the deterministic intersection across multiple moments with selection-bias caveats included.
get_reportRetrieves a published report by its 8-character canonical hash.
run_cohortCompares what followed every match with what followed every other eligible predicate-false bucket.
run_stratifiedPartitions one matched population at its existing anchors into split-true, split-false, and split-absent outcome summaries.

No tool can trade, change market state, publish, or modify account data. run_scan, run_cohort, and run_stratified are annotated as metered computations because a fresh call can irreversibly consume an allowance unit. The other recorded-data tools are closed-world reads. interpret_prose is a free read that uses the configured external language interpreter.

Research contract

  • Validation failures pass through as 422 {"errors":[{"code":"...","message":"..."}]}.
  • Transport failures use the {"error","code"} envelope.
  • Contract codes are machine-actionable. For errors such as UNSUPPORTED_FEATURE or OUTCOME_IN_PREDICATE, call list_features, repair the document, and retry.
  • Deterministic tools are exact-document, UTC-only tools. interpret_prose may use a time zone to plan dates, but run_scan, run_cohort, and base_rate never reinterpret calendar language.
  • Reruns and ETag 304 Not Modified revalidations are free. list_instruments ETags are scoped to the requested summary, symbol projection, or full representation.
  • Interpretation is free and never debits the scan allowance. An unavailable scan allowance returns neutral 402 RESEARCH_ALLOWANCE_EXHAUSTED metadata without a checkout link.

REST API and documentation

The MCP server is a thin, deterministic interface to the public EdgeDepth Research API:

  • REST API quickstart
  • Authentication and API keys
  • Credits, caching, and limits
  • Versioned query grammar
  • Reproducibility contract
  • Worked API examples
  • MCP connection guide
  • How EdgeDepth Research works
  • What you can ask

The default REST base used by the stdio package is https://app.edgedepth.com/api/v1/research.

Environment

Local stdio

VariableDefaultPurpose
EDGEDEPTH_API_KEYNoneRequired for stdio tool calls.
EDGEDEPTH_API_BASEhttps://app.edgedepth.com/api/v1/researchOptional REST API base override.

Hosted server operators

VariableDefaultPurpose
EDGEDEPTH_OAUTH_EXCHANGE_URLhttp://127.0.0.1:3002/api/mcp/oauth/exchangeOAuth access-token exchange endpoint.
MCP_INTERNAL_SECRETNoneRequired internal assertion secret; must match the web app.
PORT3003HTTP listen port.
HOST127.0.0.1HTTP listen host.

Authentication and security

The hosted server uses browser OAuth. It validates opaque access tokens, exchanges them for separate short-lived internal assertions, and never passes the OAuth access token to the REST API. The MCP server is stateless and stores no user credentials.

Compatible clients rotate refresh tokens silently while the connection remains active. Review or revoke access at EdgeDepth Connected Apps.

API keys remain available for scripts, local stdio, and MCP clients without browser OAuth. Treat an edk_live_... key as a secret and never commit it to source control.

Develop

Terminal
npm install
npm run build
npm test
npm run typecheck

TypeScript builds to dist/. Example nginx locations, systemd hardening, and operator environment values live under deploy/. Production deployment and npm publishing remain operator actions.

Related projects

Read the full README on GitHub β†’

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Reviews

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Frequently Asked Questions about EdgeDepth Research

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "edgedepth-research": { "command": "npx", "args": ["-y", "EdgeDepth Research"] } }

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Technical Specs & Signals

CategoryπŸ’°Finance & Fintech
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Views0
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 stars2
GitHub Star CountTotal stargazers on GitHub representing community popularity (2 stars).
Last commit1d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 25, 2026
53Quality signal: Good Β· 53/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” 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 & activity5/15
Community engagement0/10

A guidance signal from public completeness & health data β€” 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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Scanned 4h ago via OSV.dev Β· @edgedepth/research-mcp (npm)

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