Xerj vs Minutes
A side-by-side look at the Xerj and Minutes MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
X
XerjKnowledge & MemoryLocal-first search engine and MCP server for AI agents. One Rust binary indexes code, docs, logs, JSONL/CSV and PDFs for BM25 full-text, vector and hybrid search, code search without grep, agent memory and RAG. Elasticsearch-compatible API; Corpus Hub serves hundreds of reference memory corpora.53GoodAuth: no auth requiredVerdict: choose Xerj for knowledge & memory work; choose Minutes for knowledge & memory as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
XChoose Xerj when
- You need dedicated capabilities in the Knowledge & Memory domain.
- Its auth model fits you: No auth required.
Choose Minutes when
- You need dedicated capabilities in the Knowledge & Memory domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
- You want tools like
start_recording, stop_recording, get_status.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | X Xerj | |
|---|---|---|
| Category | Knowledge & Memory | Knowledge & Memory |
| Quality signal | 53/100 · Good | 71/100 · Great |
| Install command | Not confirmed yet | Confirmed |
| Transport | — | Local subprocess (stdio) |
| Auth | No auth required | No auth required |
| Pricing | Free | Free |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 10,645 | 1,560 |
| Directory activity | 0 views 0 installs 0 upvotes | 2 views 0 installs 0 upvotes |
| Tools | Not listed | 34 |
| Full listing | View Xerj | View Minutes |
Tools & capabilities
Xerj tools
No tool names declared yet. Check the project README from the listing page.
Minutes tools 34
start_recordingStart recording audio with call-aware preflight. When a known call app is active, Minutes can infer call intent and block silent mic-only call captures unless explicitly allowed. Note: this server does not listen to audio content. Recordings are stopped by invoking stop_recording after the user types a request in chat — never promise the user they can speak a 'stop recording' voice command. Docs: https://useminutes.app/docs/mcp/tools#tool-start_recordingstop_recordingStop the current recording and process it (transcribe, diarize, summarize). Docs: https://useminutes.app/docs/mcp/tools#tool-stop_recordingget_statusCheck if a recording is currently in progress. Docs: https://useminutes.app/docs/mcp/tools#tool-get_statuslist_processing_jobsList background processing jobs for recent recordings, including queued, transcript-ready, needs-review, failed, and completed work. Docs: https://useminutes.app/docs/mcp/tools#tool-list_processing_jobslist_meetingsList recent meetings and voice memos. Restricted meetings are excluded. An override requires both an operator launch grant and include_restricted=true, and is durably audited. Docs: https://useminutes.app/docs/mcp/tools#tool-list_meetingssearch_meetingsSearch meeting transcripts and voice memos. Restricted meetings are excluded. An override requires both an operator launch grant and include_restricted=true, and is durably audited. Docs: https://useminutes.app/docs/mcp/tools#tool-search_meetingsactivity_summarySummarize meeting-adjacent desktop context bound to one exact normal meeting source. Docs: https://useminutes.app/docs/mcp/tools#tool-activity_summarysearch_contextSearch desktop-context events bound to one exact normal meeting source. Docs: https://useminutes.app/docs/mcp/tools#tool-search_contextget_momentShow the local rewind bound to one exact normal meeting source. Docs: https://useminutes.app/docs/mcp/tools#tool-get_momentget_screen_contextRetrieve up to three verified PNG screenshots bound to one exact normal meeting source, optionally nearest a timestamp. Docs: https://useminutes.app/docs/mcp/tools#tool-get_screen_contextconsistency_reportFlag conflicting decisions and stale commitments across meetings using structured intent data. Meetings designated `sensitivity: restricted` are always excluded from this report. Docs: https://useminutes.app/docs/mcp/tools#tool-consistency_reportget_person_profileGet a relationship profile derived from live, policy-authorized meeting snapshots within the supported corpus bounds. Restricted meetings are excluded unless an operator launch grant plus include_restricted=true is durably audited. Docs: https://useminutes.app/docs/mcp/tools#tool-get_person_profile- +22 more on the listing page
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Xerj
No confirmed install command for Xerj yet — follow the setup steps linked from its listing page rather than a guessed package name.
Minutes
{
"mcpServers": {
"minutes": {
"command": "npx",
"args": [
"-y",
"minutes-mcp"
]
}
}
}
Frequently asked questions
Xerj is categorized under Knowledge & Memory and uses an install path we have not confirmed yet. Minutes belongs to Knowledge & Memory and uses a local stdio subprocess. Pick Xerj for knowledge & memory work and Minutes for knowledge & memory.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client. Xerj has no confirmed install command yet — follow its own setup instructions.
Xerj is listed as free. Auth: no auth required. Minutes is listed as free. Auth: no auth required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add xerj and minutes as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Xerj has a quality signal of 53/100 (Good) with 0 views, 0 installs and 10,645 GitHub stars. Minutes has 71/100 (Great) with 2 views, 0 installs and 1,560 GitHub stars.