# eDiscovery Decoder News/Calc MCP server Free educational MCP for read-only eDiscovery news and TAR/review calculators. ## Links - Registry page: https://www.getdrio.com/mcp/com-ediscoverydecoder-mcp - Website: https://ediscoverydecoder.com/ ## Install - Endpoint: https://mcp.ediscoverydecoder.com/mcp - Auth: Not captured ## Setup notes - Remote endpoint: https://mcp.ediscoverydecoder.com/mcp ## Tools - ping (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. Endpoint: https://mcp.ediscoverydecoder.com/mcp - list_capabilities (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. Endpoint: https://mcp.ediscoverydecoder.com/mcp - get_demo_guide (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. Endpoint: https://mcp.ediscoverydecoder.com/mcp - get_resource_content (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. Endpoint: https://mcp.ediscoverydecoder.com/mcp - get_prompt_template (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. Endpoint: https://mcp.ediscoverydecoder.com/mcp - search_news (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. Endpoint: https://mcp.ediscoverydecoder.com/mcp - get_news_brief (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. Endpoint: https://mcp.ediscoverydecoder.com/mcp - calculate_review_metrics (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. Endpoint: https://mcp.ediscoverydecoder.com/mcp - calculate_elusion (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. Endpoint: https://mcp.ediscoverydecoder.com/mcp - calculate_sample_size (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. Endpoint: https://mcp.ediscoverydecoder.com/mcp - calculate_tar_recall_estimate (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. Endpoint: https://mcp.ediscoverydecoder.com/mcp - calculate_prevalence_richness (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. Endpoint: https://mcp.ediscoverydecoder.com/mcp - calculate_control_set_recall (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. Endpoint: https://mcp.ediscoverydecoder.com/mcp - compare_tar_cutoffs (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. Endpoint: https://mcp.ediscoverydecoder.com/mcp - validate_sample_design (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. Endpoint: https://mcp.ediscoverydecoder.com/mcp ## Resources - edd://mcp/demo-guide - eDiscovery Decoder MCP Demo Guide Plain-English guide to this free hosted MCP demo, its tools, resources, prompts, and safety boundaries. MIME type: application/json - edd://resources/tar-learning-path - TAR Learning Path Curated eDiscovery Decoder learning path for TAR, AI-assisted review, validation, glossary terms, and calculators. Read when a user is new to TAR or asks where to start. MIME type: application/json - edd://glossary/core - Core TAR Glossary Compact definitions for TAR, sampling, and validation terms (recall, precision, elusion, richness, control set, confidence interval, sampling error). Read when a user needs a term defined or you must disambiguate which calculator they want. MIME type: application/json - edd://news/latest - Latest eDiscovery News Most recent curated eDiscovery Decoder news digest. MIME type: application/json - edd://news/brief - eDiscovery News Brief Top current eDiscovery AI stories and Week in Review breakdown. MIME type: application/json - edd://news/2026-08-04 - eDiscovery News - 2026-08-04 Curated eDiscovery Decoder news digest for a specific YYYY-MM-DD date. MIME type: application/json - edd://news/2026-08-03 - eDiscovery News - 2026-08-03 Curated eDiscovery Decoder news digest for a specific YYYY-MM-DD date. MIME type: application/json ## Prompts - mcp-demo-tour - MCP Demo Tour Guide a user through this eDiscovery Decoder MCP demo and explain tools, resources, and prompts with safe example calls. Arguments: audience - tar-matter-kickoff - TAR Matter Kickoff Turn a matter description into TAR scoping, sampling, validation, controls, and explanation questions for human review. Arguments: matter_description, audience - weekly-digest - Weekly Digest Draft a weekly eDiscovery Decoder news digest from read-only news items for human review. Arguments: week_start, audience ## Metadata - Owner: com.ediscoverydecoder - Version: 0.1.0 - Runtime: Streamable Http - Transports: HTTP - License: Not captured - Language: Not captured - Stars: Not captured - Updated: Jun 23, 2026 - Source: https://registry.modelcontextprotocol.io