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eDiscovery Decoder News/Calc

REMOTE · MCP.EDISCOVERYDECODER.COM · SCANNED AUG 3

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

+7 this week 75 Trust /100
Trust breakdown (6 categories)

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. How we score →

Endpoint Security80
Transport & Reachability100
Schema Quality & AI Usability85
  • 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
  • AI-judged instruction clarity (excellent).Pass
  • Tool/resource definitions use about 2085 tokens (~83/item across 25 items; 15 tools + 10 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management27
  • Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage71
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 0% of tool parameters carry a description.Fail
  • Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

remote · mcp.ediscoverydecoder.com

# add to Claude Code
claude mcp add --transport http com-ediscoverydecoder-mcp https://mcp.ediscoverydecoder.com/mcp
# ~/.codex/config.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
    }
  }
}
# add to OpenClaw
openclaw mcp add com-ediscoverydecoder-mcp --url https://mcp.ediscoverydecoder.com/mcp --transport streamable-http
# ~/.hermes/config.yaml
mcp_servers:
  com-ediscoverydecoder-mcp:
    url: "https://mcp.ediscoverydecoder.com/mcp"
// mcp.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 we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 3 Aug 26 0
    • Resource “news-2026-07-30” was removed functional
    • New resource “news-2026-07-27” functional
  • 2 Aug 26 +1
    • New resource “news-2026-07-28” functional
    • New resource “news-2026-08-01” functional
  • 1 Aug 26 0
    • Resource “news-2026-07-28” was removed functional
    • New resource “news-2026-07-31” functional
  • 31 Jul 26 +4
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 30 Jul 26 +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.

  • 28 Jul 26 0
    • New resource “news-2026-07-26” functional
  • 27 Jul 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 26 Jul 26 68

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 3 Aug 2026 · Probed https://mcp.ediscoverydecoder.com/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=mcp.ediscoverydecoder.com CN=YR2,O=Let's Encrypt,C=US 22 Jun 2026 20 Sept 2026 RSA 2048 SHA256-RSA 551a6f0967d5b10b97095b5b5d0c2726431
SANs: mcp.ediscoverydecoder.com
CN=YR2,O=Let's Encrypt,C=US (CA) CN=Root YR,O=ISRG,C=US 3 Sept 2025 2 Sept 2028 RSA 2048 SHA256-RSA 4ebd24947e24d394802d84a52fd5b319
CN=Root YR,O=ISRG,C=US (CA) CN=ISRG Root X1,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 RSA 4096 SHA256-RSA f24b6d17f9d9ad7cb1c9fea78782699f
DNSSEC insecure

Validation of mcp.ediscoverydecoder.com. Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
com. present 19718 13 Verified
ediscoverydecoder.com. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication No authorisation required

The endpoint answered without asking for a token. Anyone who knows the URL can reach it.

Result No authorisation required
HTTP status 200
Header Value
strict-transport-security max-age=63072000
Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://mcp.ediscoverydecoder.com/mcp Verified 200
http (plaintext) http://mcp.ediscoverydecoder.com/mcp HTTPS enforced 308 https://mcp.ediscoverydecoder.com/mcp
MCP tools — 15 exposed · ~1,500 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.

Tool Tokens
calculate_control_set_recall ~111

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.

NameTypeReqDescription
confidence_levelnumber
relevant_foundintegeryes
relevant_missedintegeryes
NameTypeReqDescription
confidenceIntervalobjectyes
confidenceLevelnumberyes
formulastringyes
recallnumber|nullyes
relevantFoundintegeryes
relevantMissedintegeryes
totalRelevantintegeryes

No examples provided.

calculate_elusion ~132

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.

NameTypeReqDescription
confidence_levelnumber
relevant_found_in_sampleintegeryes
sample_sizeintegeryes
NameTypeReqDescription
assumptionsobjectyes
confidence_intervalobjectyes
elusion_ratenumberyes
formulastringyes

No examples provided.

calculate_prevalence_richness ~106

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.

NameTypeReqDescription
confidence_levelnumber
population_sizeinteger
positive_hitsintegeryes
sample_sizeintegeryes
NameTypeReqDescription
confidenceIntervalobjectyes
confidenceLevelnumberyes
estimatedPositiveCountnumber|nullyes
estimatedPositiveLowernumber|nullyes
estimatedPositiveUppernumber|nullyes
formulastringyes
pointEstimatenumberyes
positiveHitsintegeryes
sampleSizeintegeryes

No examples provided.

calculate_review_metrics ~133

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.

NameTypeReqDescription
false_negativesintegeryes
false_positivesintegeryes
true_negativesintegeryes
true_positivesintegeryes
NameTypeReqDescription
accuracyyes
elusion_in_sampleyes
f1yes
precisionyes
recallobjectyes

No examples provided.

calculate_sample_size ~106

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.

NameTypeReqDescription
confidence_levelnumber
estimated_prevalencenumber
margin_of_errornumberyes
population_sizeintegeryes
NameTypeReqDescription
assumptionsobjectyes
formulastringyes
raw_sample_sizenumberyes
recommended_sample_sizeintegeryes

No examples provided.

calculate_tar_recall_estimate ~130

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.

NameTypeReqDescription
confidence_levelnumber
elusion_responsive_hitsintegeryes
elusion_sample_sizeintegeryes
excluded_population_sizeintegeryes
responsive_foundintegeryes
NameTypeReqDescription
assumptionsarrayyes
elusionobjectyes
estimatedRecallyes
excludedPopulationSizeintegeryes
formulastringyes
responsiveFoundintegeryes

No examples provided.

compare_tar_cutoffs ~89

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.

NameTypeReqDescription
cutoffsarrayyes
scored_document_countintegeryes
NameTypeReqDescription
cutoffsarrayyes
questionsarrayyes
scoredDocumentCountintegeryes

No examples provided.

get_demo_guide ~62

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.

Input schema present but exposes no named parameters.

NameTypeReqDescription
endpointstringyes
promptsarrayyes
purposestringyes
resourcesarrayyes
safety_boundariesarrayyes
suggested_test_promptsarrayyes
titlestringyes
toolsarrayyes

No examples provided.

get_news_brief ~91

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.

NameTypeReqDescription
current_limitinteger
week_limitinteger
NameTypeReqDescription
formatted_briefstringyes
generated_atstringyes
source_urlstringyes
story_bulletsarrayyes
top_storiesarrayyes
week_so_farobjectyes

No examples provided.

get_prompt_template ~97

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.

NameTypeReqDescription
audiencestring
matter_descriptionstring
prompt_namestringyes
week_startstring
NameTypeReqDescription
argumentsobjectyes
descriptionstring
messagesarrayyes
namestringyes
template_textstringyes

No examples provided.

get_resource_content ~79

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.

NameTypeReqDescription
uristringyes
NameTypeReqDescription
mimeTypestringyes
payloadobjectyes
textstringyes
uristringyes

No examples provided.

list_capabilities ~66

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.

Input schema present but exposes no named parameters.

NameTypeReqDescription
claude_notestringyes
demo_flowarrayyes
endpointstringyes
promptsarrayyes
purposestringyes
resourcesarrayyes
safety_boundariesarrayyes
serverstringyes
toolsarrayyes
versionstringyes

No examples provided.

ping ~40

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.

Input schema present but exposes no named parameters.

NameTypeReqDescription
okbooleanyes
serverstringyes
versionstringyes

No examples provided.

search_news ~105

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.

NameTypeReqDescription
date_fromstring
date_to
limitinteger
querystring
tagsarray
NameTypeReqDescription
itemsarrayyes

No examples provided.

validate_sample_design ~153

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.

NameTypeReqDescription
confidence_levelnumber
excluded_population_sizeinteger
generated_atstring
margin_of_errornumber
population_sizeintegeryes
random_seedstring
sample_sizeintegeryes
sampling_framestring
sampling_methodstring
NameTypeReqDescription
issuesarrayyes
statusstringyes
summaryobjectyes

No examples provided.