# Ediscoverydecoder MCP server

Source: https://glimind.com/server/mcp-registry%2Fcom.ediscoverydecoder%2Fmcp
Registry id: `mcp-registry/com.ediscoverydecoder/mcp`
Status: live (checked 2026-10-27T06:58:32.744Z)

## Measurements (30 days)

- Uptime: 99.97%
- Checks: 4968
- Outages (90 days): 1

## Install

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

Claude Code:

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

## Tools (15)

- `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 
- `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 th
- `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 confidenc
- `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. Retur
- `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
- `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
- `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 ar
- `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
- `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 (form
- `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 canno
- `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 
- `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
- `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 versi
- `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
- `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

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.