Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Research-feed MCP server: literature-watch findings, watchlist, and revenue-candidate drafts.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
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Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified against the domain qompass.ai (the registry checks domain ownership)
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 3 days ago.
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In the same category: Context7, Codebase Memory, Exa
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
An MCP server for the research feed: a curated literature-watch findings store and watchlist, plus a one-way, draft-only revenue seam into lupin (the revenue-alignment server, which owns its own ledger).
Phaedrus is a single Rust binary. It speaks MCP over stdio (NDJSON JSON-RPC) to the client and works on plain files under a data root — no database, no network listener.
--root or the RESEARCH_ROOT environment variable (default ~/workspace/research-feed-20261019).--lupin-root or LUPIN_ROOT (default ~/workspace/revenue-alignment-20261019).research_submit files a candidate into the scan inbox and never touches the curated store, and revenue_candidate_draft only *drafts* a lupin opportunity_submit payload — this server never writes lupin's files.| Tool | What it returns |
|---|---|
capability_context | Lupin's capability registry (read-only) as planning vocabulary: capability ids + names, optionally keyword-filtered |
feed_summary | Counts: findings by system/kind, systems watched, parse health |
finding_get | One curated finding by id |
finding_list | Curated findings, optionally filtered by system |
research_submit | File a candidate (finding, roadmap item, or test proposal) into the scan inbox; never writes the curated store |
revenue_candidate_draft | A draft lupin opportunity_submit payload for a revenue-shaped finding (drafts only) |
watchlist_list | The watchlist (per-system venues and terms) |
{
"mcpServers": { "phaedrus": { "command": "/path/to/phaedrus", "args": [] } } }
server.json in this repo is the MCP Registry record for ai.qompass/phaedrus. The server is distributed as an MCPB bundle attached to the GitHub releases (Linux x64).
Apache-2.0 — see LICENSE.