Rasczak Knowledge Commons MCP server
online · 100% uptimedev.workers.rasczak-commons.rasczak-agent-service/agent-service·v0.4.1Free decision methods, work-kit previews and optional feedback. Hosted research is not available.
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Rasczak Knowledge Commons tools (8, 1 write)
write = sends, deletes, buys or postscatalogFreeList available free methods, decision packs, and prices.
kit_catalogFreeFind work-kit previews. These kits are awaiting evaluation and cannot be purchased. Query using general task words, never private scenarios.
methodFreeRead a free method by exact catalog ID. Returns provenance and limitations.
pack_offerFreeGet a payable HTTP URL and price by pack ID. Does not pay, buy, or authorize spending.
research_feedbackwrite actionFreeSubmit optional research interest or skill feedback. Use a random pseudonym; omit private scenarios, names, contact details and credentials. No order or payment. Raw feedback retained 30 days.
research_previewFreeRead future hosted research scopes and cost policy. No executable quote, payment or job is created.
sample_packFreeFree complete vendor-evaluation pack. No payment or account needed.
workflow_catalogFreeRead the first decision-workflow preview, proposed price and measured evaluation status. No order, purchase or model call.
Public scan report
scanner v0.1.10 · 2026-10-16 · same rubric, same numbers if you re-run it
- –Code scanremote-only server, no package to scann/a
- Live reliabilityremote reachable in 973ms20/20
- Tool poisoning8 tool descriptions checked15/15
- Auth qualityopen endpoint exposes 1 write-action tools with no auth3/15
- Maintenancelast push 40 days ago12/15
- Maintainer identityendpoint served from the registry-verified namespace domain8/10
Findings (1)
- highWrite-action tools reachable without authentication
auth.open-write
How Rasczak Knowledge Commons compares
Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 77/100
- higher than 50% of 4,461 AI and agents servers
- Tools
- 8
- the typical AI and agents server has 6
- Tools that change things
- 13%
- typical: 0%. Fewer write tools means less an agent can break
- Uptime
- 100%
- of our recent checks; the typical remote AI and agents server answers 100%
- Response time
- 202 ms
- faster than 66% of 2,334 AI and agents servers
What its tools let an agent do: 7 read · 1 change
Install Rasczak Knowledge Commons in Claude Code, Cursor or VS Code
claude mcp add --transport http agent-service https://rasczak-agent-service.rasczak-commons.workers.dev/mcp
What the publisher says
From the Rasczak Knowledge Commons repository's README, as published. We do not edit it. Read it on GitHub
Rasczak agent service
Ten free, source-linked decision methods, three optional decision packs, REST, static pages, a stateless MCP endpoint, and an offline Agent Skill. Requests use reviewed fixed content and make no model calls. Payments are disabled by default; deployment owners must verify live settlement before enabling them.
Version 0.4.0 adds a decision-workflow preview, a free client skill, private version entitlement code and bounded public-source collection. The first workflow has a $5 price hypothesis but cannot be purchased. Paired model evaluation and independent trials remain pending. Hosted research is a preview, not an available service.
Version 0.4.1 fixes a collector failure reproduced inside Workers: unsupported redirect handling prevented requests. Redirects are now returned without following them and rejected explicitly. Runs persist only bounded failure codes, never error messages or response bodies. An actual Workers-runtime test covers collection and redirect refusal with external networking replaced by synthetic responses.
/workflows/ and the workflow_catalog MCP tool expose scope and evaluation status. /books/ links to two optional books with royalty disclosure. Customer decision artifacts remain with the customer. General feedback is not permission to reuse work as a published example.
KitAccess is an inactive backend component tested with ephemeral wallet signatures and local storage fixtures. A settled receipt binds buyer, SKU, version and artifact hash; fresh one-use signatures gate each download. Production private storage, actual settlement and refund reconciliation still need qualification. Environment flags cannot activate the workflow purchase or access routes. Source code and free clients are public; private workflow drafts are excluded from this repository and static assets.
The optional market collector reads at most three operator-approved GitHub issue sources and inserts at most twenty deduplicated links/titles per UTC day, with a total ceiling of 1,000 records. It makes no model calls and never executes issue text. Configure approved sources privately through D1, not public request bodies. A crashed run needs reconciliation; provider throttling stops without retry. No collector runs without its enable flag and approved sources.
Research preview and privacy
GET /api/v2/research explains the future capped-cost service. GET /api/v2/kits supports q, domain, offset and limit; GET /api/v2/kits/{id} reads metadata. GET /api/v2/changes provides version changes. POST /api/v2/research/feedback accepts general interest or skill feedback under the OpenAPI schema. It never creates an order or charge. Feedback requires RESEARCHFEEDBACKENABLED=true, a D1 binding and FEEDBACKHASHKEY set through the deployment secret store. Never put its value in source or a prompt.
Apply migrations/0002_research.sql before enabling feedback. The daily deterministic cleanup aggregates expired feedback and removes raw submissions after 30 days. Per-day limits: five submissions per pseudonym, twenty per network hash, one thousand globally. Hashes are not verified customer identities. General comments must omit private information; do not post customer scenarios or credentials. The service sends no notifications or outreach.
Research quote/order/status/result/refund endpoints return 503. A Cloudflare Workflow entrypoint is provided but is not bound and unconditionally refuses execution. Live model and refund transports are deliberately absent. Setting flags cannot bypass this release gate. Offline modules implement integer micro-USD pricing, a 30% markup, quote acceptance, atomic cost reservations, uncertain-call reconciliation, lifecycle transitions and refund intents. Only injected mock adapters may rehearse a job.
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Rasczak Knowledge Commons: common questions
- Is Rasczak Knowledge Commons MCP server safe?
- Mostly: it is graded B (77/100). Read the Rasczak Knowledge Commons safety report
- How do I install Rasczak Knowledge Commons?
- It runs remotely at rasczak-agent-service.rasczak-commons.workers.dev. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
- Does Rasczak Knowledge Commons need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is Rasczak Knowledge Commons maintained?
- The last commit was 60 days ago (2026-09-06). The latest release is v0.4.1.
- Is Rasczak Knowledge Commons up?
- 100% of our last 28 checks got an answer. We check remote servers about four times a day.
- What can I use instead of Rasczak Knowledge Commons?
- Servers from other publishers that do the same job: Basic Memory MCP server, IWE (iwe.md) MCP server and SuperCompress MCP server.
- How does Rasczak Knowledge Commons compare with other AI and agents MCP servers?
- safety score 77/100 (higher than 50% of 4,461 AI and agents servers); tools 8 (the typical AI and agents server has 6); tools that change things 13% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.
Alternatives to Rasczak Knowledge Commons
Same job from other publishers: the closest match first, then the best rated.
- Basic MemoryLocal-first knowledge management with bi-directional LLM sync via Markdown files.not reviewedWidely usedB
- IWE (iwe.md)Markdown knowledge base as agent memory. Runs against the notes directory it is started in.not reviewedEstablishedA
- SuperCompressCompress coding-agent context ~64%. Hosted Neural Keep MCP for Cursor/Claude/Codex.not reviewedEstablishedB
- Mnemoverse MemoryHosted agent memory that learns from outcomes, with shared rooms. No key: mcp.mnemoverse.com/mcpnot reviewedEstablishedA
- CHAP CoordinatorAuditable records of human decisions over AI agent work. Approvals, edits, overrides, escalations.not reviewedEstablishedA