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  1. Home
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  3. Perseus
Perseus logo
Health: Not checked yetWe have not completed a health check for this listing yet.Last checked 9/11/2026, 1:45:30 PM

Perseus

User RatingsBe the first to rate and review this MCP server!
View Repository43 GitHub StarsTotal stargazers on GitHub for the source repository (43 stars).Visit Website

Local-first live context engine that pre-renders verified workspace facts into assistant-ready context files.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

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Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ā–¾

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "perseus-computing-llc-perseus": {
      "command": "uvx",
      "args": [
        "perseus-ctx"
      ]
    }
  }
}

šŸ’” Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (40) Directory Badge Claim listing Alternatives🧠 More in Knowledge & Memory

Overview

This server generates a live, verified context briefing from your local workspace before an AI agent session starts, avoiding repeated rediscovery of information. It supports multiple assistant formats from a single source context file and can run as a native MCP server with optional shell-executing tools. Use it to provide AI agents with accurate, up-to-date workspace state including files, services, and tests, improving context relevance and reducing cold-start overhead.

Use cases

•Generate verified workspace context for AI assistants before interaction
•Render a single source context file into multiple assistant-specific formats
•Maintain live, up-to-date context with automatic or scheduled refresh
•Expose live context via MCP protocol for integration with AI agents
•Pre-resolve project dependencies, tests, and services into context

Key features

•Local-first context rendering with no hosted service required
•Quickstart command scaffolds context and config automatically
•Supports multiple output formats for different AI assistants
•MCP server mode with stdio and SSE interfaces
•Separates active working context from durable memory (via Perseus Vault)
•Context rendering verified before agent session start

Capabilities & Tool Schemas (40) ~2.2k tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server — may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Perseus.

perseus_agora

List tasks from the project task board (tasks/*.md files). Use to see what is open, in progress, or completed. Filter by status. Read-only; returns task array with id, title, status, scope.

perseus_agent_projection_preview

Compile a bounded, task-scoped sanitized agent projection. Shows the exact agent view separately from provenance and selection reasons; receipts contain hashes/references only.

perseus_agent_projection_release

Release a previously previewed sanitized projection after matching per-scope consent. Durable release metadata excludes prompts, private bodies, secrets, and tool arguments.

perseus_auto_skill

Instruct the agent to load a specific skill before starting work. Use at the top of context documents to enforce critical hygiene skills (e.g., memory-hygiene, agent-safety). Renders as a mandatory instruction block. Read-only.

perseus_budget

Declare a token budget for the rendered context (renders as empty text). Enforced by `perseus prompt-size`: an over-budget render warns — or fails with `strict` — with a per-directive byte/token breakdown (#606). Declarations are read from source text before conditionals are evaluated; top-level on…

perseus_capture

Write recent session checkpoints to Perseus Vault as durable memories (#713) — the write side of the memory loop, symmetric to @memory recall. Idempotent per checkpoint (re-render upserts, never duplicates). Use at session boundaries so lessons persist immediately instead of waiting for a scheduled…

Documentation Overview

Perseus is a 🧠 Knowledge & Memory MCP server from Perseus-Computing-LLC listed on AllMCPs. Local-first live context engine and MCP server. Pre-resolves git, services, tests, and memory into a ready context briefing at session start (compile-before-context). MIT, PyPI: perseus-ctx.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
43
Stargazers on the source repository.
Last commit
7d ago
Most recent push to the default branch.
Tools exposed
40
Callable tools this server registers over MCP.

Reviews

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Frequently Asked Questions about Perseus

Perseus pre-resolves and verifies workspace facts into a live context briefing before the agent session starts, avoiding redundant rediscovery and reducing token usage.

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Technical Specs & Signals

Category🧠Knowledge & Memory
More technical detailsExpand ā–¾
TransportSTDIO
RuntimePython
Last updatedSep 4, 2026
9/11 checks healthy over the last 32d
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars43
GitHub Star CountTotal stargazers on GitHub representing community popularity (43 stars).
Last commit7d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 4, 2026
42Quality signal: Fair Ā· 42/100How this signal is calculated ā–¾
Server availability0/25
Verified ownership8/20
Documentation & tools27/30
Adoption & activity7/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 14d ago via OSV.dev Ā· perseus-ctx (PyPI)

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More in 🧠 Knowledge & Memory →Best MCP servers for Memory & Knowledge →Alternatives to Perseus →Install in Claude DesktopInstall in CursorInstall in VS Code