eDiscovery Decoder News/Calc is a remote MCP server that gives an AI agent 15 tools, among them calculate_control_set_recall, calculate_elusion, calculate_prevalence_richness. It answers at https://mcp.ediscoverydecoder.com/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 10 of 10 times since 4 September 2026; the last check, on 18 October 2026, succeeded.
Free educational MCP for read-only eDiscovery news and TAR/review calculators.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
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 s Inputs: relevant_found, relevant_missed, confidence_level |
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 re Inputs: relevant_found_in_sample, sample_size, confidence_level |
calculate_prevalence_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 an Inputs: positive_hits, sample_size, population_size, confidence_level |
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 Inputs: true_positives, false_positives, false_negatives, true_negatives |
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 sa Inputs: population_size, confidence_level, margin_of_error, estimated_prevalence |
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 elusio Inputs: responsive_found, excluded_population_size, elusion_responsive_hits, elusion_sample_size, confidence_level |
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 Inputs: scored_document_count, cutoffs |
get_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 li |
get_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 r Inputs: current_limit, week_limit |
get_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 befo Inputs: prompt_name, audience, matter_description, week_start |
get_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 Inputs: uri |
list_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, |
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. |
search_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 Inputs: query, tags, date_from, date_to, limit |
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 incons Inputs: population_size, sample_size, confidence_level, margin_of_error, sampling_frame, sampling_method |
Every block below points at https://mcp.ediscoverydecoder.com/mcp. Pick your client and copy.
claude mcp add --transport http ediscovery-decoder-news-calc https://mcp.ediscoverydecoder.com/mcp
{
"mcpServers": {
"ediscovery-decoder-news-calc": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://mcp.ediscoverydecoder.com/mcp"]
}
}
}{
"mcpServers": {
"ediscovery-decoder-news-calc": {
"url": "https://mcp.ediscoverydecoder.com/mcp"
}
}
}{
"servers": {
"ediscovery-decoder-news-calc": {
"type": "http",
"url": "https://mcp.ediscoverydecoder.com/mcp"
}
}
}{
"context_servers": {
"ediscovery-decoder-news-calc": {
"url": "https://mcp.ediscoverydecoder.com/mcp"
}
}
}{
"mcpServers": {
"ediscovery-decoder-news-calc": {
"serverUrl": "https://mcp.ediscoverydecoder.com/mcp"
}
}
}{
"mcpServers": {
"ediscovery-decoder-news-calc": {
"url": "https://mcp.ediscoverydecoder.com/mcp"
}
}
}name: eDiscovery Decoder News/Calc
version: 0.0.1
schema: v1
mcpServers:
- name: eDiscovery Decoder News/Calc
type: streamable-http
url: https://mcp.ediscoverydecoder.com/mcp{
"mcpServers": {
"ediscovery-decoder-news-calc": {
"httpUrl": "https://mcp.ediscoverydecoder.com/mcp"
}
}
}{
"mcpServers": {
"ediscovery-decoder-news-calc": {
"type": "http",
"url": "https://mcp.ediscoverydecoder.com/mcp"
}
}
}{
"mcpServers": {
"ediscovery-decoder-news-calc": {
"url": "https://mcp.ediscoverydecoder.com/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fmcp.ediscoverydecoder.com%2Fmcp&type=streamable_http&id=ediscovery-decoder-news-calc&name=eDiscovery%20Decoder%20News/Calc
It answered our last check on 18 October 2026 in 238 ms. Over 10 checks since 4 September 2026 it answered 10. Status here comes from Neuronto's own probes, not from the publisher.
Yes. It is published by ediscoverydecoder.com and served from mcp.ediscoverydecoder.com, the vendor's own domain: https://mcp.ediscoverydecoder.com/mcp.
15, as returned by the server's own tools/list on 10 September 2026: calculate_control_set_recall, calculate_elusion, calculate_prevalence_richness, calculate_review_metrics, calculate_sample_size, calculate_tar_recall_estimate, compare_tar_cutoffs, get_demo_guide, and 7 more.
It answered our last check on 18 October 2026 in 238 ms. Over 10 checks since 4 September 2026 it answered 10.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://mcp.ediscoverydecoder.com/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: com.ediscoverydecoder. Endpoint host: mcp.ediscoverydecoder.com. ARD identifier: urn:air:com.ediscoverydecoder:mcp:mcp.
First indexed 31 August 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.