# eDiscovery Decoder News/Calc (remote · mcp.ediscoverydecoder.com)

Free educational MCP for read-only eDiscovery news and TAR/review calculators.

- Trust score: 75/100 (medium)
- Change this week: +7
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- remote · `mcp.ediscoverydecoder.com`: 75/100 (this document), [markdown](https://verifymcp.io/servers/com-ediscoverydecoder-mcp/mcp.md), [page](https://verifymcp.io/servers/com-ediscoverydecoder-mcp/mcp)

## Channel facts

- Endpoint: `https://mcp.ediscoverydecoder.com/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `0.1.0`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-08-03.

- **Endpoint Security**: 80/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one.
  - HTTPS is enforced; there's no plaintext access path.
  - The HSTS (Strict-Transport-Security) header is present.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 85/100
  - 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).
  - AI-judged instruction clarity (excellent).
  - Tool/resource definitions use about 2085 tokens (~83/item across 25 items; 15 tools + 10 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 27/100
  - Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 71/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 0% of tool parameters carry a description.
  - Structured output schemas are declared (100% of tools); any adoption earns full credit.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### Claude

```bash
claude mcp add --transport http com-ediscoverydecoder-mcp https://mcp.ediscoverydecoder.com/mcp
```

### Codex

```toml
[mcp_servers.com-ediscoverydecoder-mcp]
url = "https://mcp.ediscoverydecoder.com/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "com-ediscoverydecoder-mcp": {
      "type": "remote",
      "url": "https://mcp.ediscoverydecoder.com/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add com-ediscoverydecoder-mcp --url https://mcp.ediscoverydecoder.com/mcp --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  com-ediscoverydecoder-mcp:
    url: "https://mcp.ediscoverydecoder.com/mcp"
```

### Other

```json
{
  "mcpServers": {
    "com-ediscoverydecoder-mcp": {
      "type": "http",
      "url": "https://mcp.ediscoverydecoder.com/mcp"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-08-03 (score 75, 0)

- [functional regression] Resource “news-2026-07-30” was removed
- [functional] New resource “news-2026-07-27”

### 2026-08-02 (score 75, +1)

- [functional] New resource “news-2026-07-28”
- [functional] New resource “news-2026-08-01”

### 2026-08-01 (score 74, 0)

- [functional regression] Resource “news-2026-07-28” was removed
- [functional] New resource “news-2026-07-31”

### 2026-07-31 (score 74, +4)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-30 (score 70, +2)

No change was recorded against any check on this day. Stability & Change Management went from 7 to 13. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 4 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-28 (score 68, 0)

- [functional] New resource “news-2026-07-26”

### 2026-07-27 (score 68, 0)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-26 (score 68)

First indexed and scored.

## MCP tools (15)

### `ping` (~40 tokens)

Ping

Health check: confirm the eDiscovery Decoder News/Calc MCP server is reachable before a demo or when troubleshooting a connection. Returns server name and version. No inputs.

Output parameters:

- `ok` (boolean)
- `server` (string)
- `version` (string)

### `list_capabilities` (~66 tokens)

List eDiscovery Decoder MCP Capabilities

List the full eDiscovery Decoder MCP surface — every tool, prompt, and resource, plus the suggested demo flow and safety boundaries — with an example prompt for each. Call this first when you are unsure which tool fits the user's question, or when tool-search shows only a partial list.

Output parameters:

- `claude_note` (string)
- `demo_flow` (array)
- `endpoint` (string)
- `prompts` (array)
- `purpose` (string)
- `resources` (array)
- `safety_boundaries` (array)
- `server` (string)
- `tools` (array)
- `version` (string)

### `get_demo_guide` (~62 tokens)

Get eDiscovery Decoder MCP Demo Guide

Return a short, human-readable walkthrough for testing this server: the endpoint, the tool/prompt/resource names, and ready-to-paste sample prompts. Use to give someone a guided demo. For the full machine-readable capability catalog, use list_capabilities instead.

Output parameters:

- `endpoint` (string)
- `prompts` (array)
- `purpose` (string)
- `resources` (array)
- `safety_boundaries` (array)
- `suggested_test_prompts` (array)
- `title` (string)
- `tools` (array)

### `get_resource_content` (~79 tokens)

Get MCP Resource Content

Fetch the JSON behind a supported edd:// resource — the demo guide, TAR learning path, glossary, or news (latest / brief / by-date). Use when you want resource content but the client cannot read MCP resources directly, e.g. to pull glossary definitions or the news brief as a normal tool result.

Input parameters:

- `uri` (string, required)

Output parameters:

- `mimeType` (string)
- `payload` (object)
- `text` (string)
- `uri` (string)

### `get_prompt_template` (~97 tokens)

Get MCP Prompt Template

Return the rendered text of one of this server's guided prompts (mcp-demo-tour, tar-matter-kickoff, weekly-digest). Use when the client can call tools but cannot open MCP prompts directly, or when you want to inspect a prompt's wording before using it.

Input parameters:

- `audience` (string)
- `matter_description` (string)
- `prompt_name` (string, required)
- `week_start` (string)

Output parameters:

- `arguments` (object)
- `description` (string)
- `messages` (array)
- `name` (string)
- `template_text` (string)

### `search_news` (~105 tokens)

Search eDiscovery News

Find recent eDiscovery / legal-AI / TAR news by topic, tag, or date range. Use when the user asks what's new or recent in eDiscovery, wants stories on a subject, or asks about a time window. For a ready-made top-stories roundup instead, use get_news_brief.

Input parameters:

- `date_from` (string)
- `date_to`
- `limit` (integer)
- `query` (string)
- `tags` (array)

Output parameters:

- `items` (array)

### `get_news_brief` (~91 tokens)

Get eDiscovery News Brief

Get the current eDiscovery Decoder news brief: top stories plus a Week in Review breakdown, returned both as structured data and as display-ready Markdown (formatted_brief) with a 'why it matters' line per story. Use when the user wants a roundup or summary of current eDiscovery AI news rather than a keyword search.

Input parameters:

- `current_limit` (integer)
- `week_limit` (integer)

Output parameters:

- `formatted_brief` (string)
- `generated_at` (string)
- `source_url` (string)
- `story_bullets` (array)
- `top_stories` (array)
- `week_so_far` (object)

### `calculate_review_metrics` (~133 tokens)

Calculate Review Metrics

Score a coded sample when you have a full confusion matrix (true/false positives and negatives) — e.g. comparing a TAR model's calls against a reviewer's. Returns recall, precision, F1, accuracy, and in-sample elusion. Use calculate_control_set_recall if you only have relevant-found vs relevant-missed; calculate_elusion for a discard/null-set sample. Aggregate counts only; not legal advice.

Input parameters:

- `false_negatives` (integer, required)
- `false_positives` (integer, required)
- `true_negatives` (integer, required)
- `true_positives` (integer, required)

Output parameters:

- `accuracy`
- `elusion_in_sample`
- `f1`
- `precision`
- `recall` (object)

### `calculate_elusion` (~132 tokens)

Calculate Elusion

Estimate how much responsive/relevant material may remain in a set you chose NOT to review (the discard, null, or 'elusion' set). Use when a random sample of that excluded set has been coded — e.g. 'we sampled 400 culled docs and found 2 relevant.' Returns the elusion rate and a Wilson confidence interval. For an overall recall % from the same sample, use calculate_tar_recall_estimate. Aggregate counts only; not legal advice.

Input parameters:

- `confidence_level` (number)
- `relevant_found_in_sample` (integer, required)
- `sample_size` (integer, required)

Output parameters:

- `assumptions` (object)
- `confidence_interval` (object)
- `elusion_rate` (number)
- `formula` (string)

### `calculate_sample_size` (~106 tokens)

Calculate Sample Size

Work out how many documents to randomly sample to estimate a proportion (e.g. richness or elusion) at a target confidence level and margin of error, with finite-population correction. Use when planning a sample before review — 'how big a sample do we need?' Aggregate inputs only; not legal advice.

Input parameters:

- `confidence_level` (number)
- `estimated_prevalence` (number)
- `margin_of_error` (number, required)
- `population_size` (integer, required)

Output parameters:

- `assumptions` (object)
- `formula` (string)
- `raw_sample_size` (number)
- `recommended_sample_size` (integer)

### `calculate_tar_recall_estimate` (~130 tokens)

Calculate TAR Recall Estimate

Estimate overall TAR recall and how many responsive docs were missed, by combining the responsive count already found with an elusion sample of the excluded set. Use when the user wants a recall % for the whole workflow, not just the elusion rate. For only the elusion rate and its interval, use calculate_elusion. Aggregate counts only; not legal advice.

Input parameters:

- `confidence_level` (number)
- `elusion_responsive_hits` (integer, required)
- `elusion_sample_size` (integer, required)
- `excluded_population_size` (integer, required)
- `responsive_found` (integer, required)

Output parameters:

- `assumptions` (array)
- `elusion` (object)
- `estimatedRecall`
- `excludedPopulationSize` (integer)
- `formula` (string)
- `responsiveFound` (integer)

### `calculate_prevalence_richness` (~106 tokens)

Calculate Prevalence Or Richness

Estimate how rich or prevalent a population is — the share that is responsive/relevant/positive — from positive hits in a random sample, with a Wilson confidence interval. Use for 'what % of this set is relevant?' or to size review scope and cost expectations. Aggregate counts only; not legal advice.

Input parameters:

- `confidence_level` (number)
- `population_size` (integer)
- `positive_hits` (integer, required)
- `sample_size` (integer, required)

Output parameters:

- `confidenceInterval` (object)
- `confidenceLevel` (number)
- `estimatedPositiveCount` (number|null)
- `estimatedPositiveLower` (number|null)
- `estimatedPositiveUpper` (number|null)
- `formula` (string)
- `pointEstimate` (number)
- `positiveHits` (integer)
- `sampleSize` (integer)

### `calculate_control_set_recall` (~111 tokens)

Calculate Control Set Recall

Calculate recall against a known control set: the share of documents already confirmed relevant that the workflow found, with a Wilson confidence interval. Use when you have relevant-found and relevant-missed counts from a fixed reference set. For recall from a confusion matrix use calculate_review_metrics; from a discard-set sample use calculate_tar_recall_estimate. Aggregate counts only; not legal advice.

Input parameters:

- `confidence_level` (number)
- `relevant_found` (integer, required)
- `relevant_missed` (integer, required)

Output parameters:

- `confidenceInterval` (object)
- `confidenceLevel` (number)
- `formula` (string)
- `recall` (number|null)
- `relevantFound` (integer)
- `relevantMissed` (integer)
- `totalRelevant` (integer)

### `compare_tar_cutoffs` (~89 tokens)

Compare TAR Cutoffs

Compare candidate TAR score or rank cutoffs side by side: for each cutoff, how many docs sit above it, its share of the scored set, and (if responsive counts are given) an estimated precision. Use when deciding where to draw the review/cull line. Aggregate counts only; not legal advice.

Input parameters:

- `cutoffs` (array, required)
- `scored_document_count` (integer, required)

Output parameters:

- `cutoffs` (array)
- `questions` (array)
- `scoredDocumentCount` (integer)

### `validate_sample_design` (~153 tokens)

Validate Sample Design

QC a TAR validation sampling plan: check whether it has the documented elements needed for a defensibility discussion (population, sample size, confidence level, sampling frame/method, randomization, etc.) and flag what is missing or inconsistent. Use to sanity-check a sampling protocol before relying on it. Reviews metadata only — not a legal sufficiency opinion.

Input parameters:

- `confidence_level` (number)
- `excluded_population_size` (integer)
- `generated_at` (string)
- `margin_of_error` (number)
- `population_size` (integer, required)
- `random_seed` (string)
- `sample_size` (integer, required)
- `sampling_frame` (string)
- `sampling_method` (string)

Output parameters:

- `issues` (array)
- `status` (string)
- `summary` (object)

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/com-ediscoverydecoder-mcp/mcp#diagnostics

## Score history

- 2026-08-03: 75
- 2026-08-02: 75
- 2026-08-01: 74
- 2026-07-31: 74
- 2026-07-30: 70
- 2026-07-28: 68
- 2026-07-27: 68
- 2026-07-26: 68

## Links

- Remote endpoint: https://mcp.ediscoverydecoder.com/mcp
- Website: https://ediscoverydecoder.com/
- Changelog RSS feed: https://verifymcp.io/servers/com-ediscoverydecoder-mcp/mcp/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/com-ediscoverydecoder-mcp/mcp/changelog.json
- HTML version of this page: https://verifymcp.io/servers/com-ediscoverydecoder-mcp/mcp