Pursers MCP server
io.github.swisspra/pursers·v5.2.1·1 starsCoordinate AI-agent work on a local-first, owner-controlled MCP board
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1 stars938 downloads/wk
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If you have run it, two minutes of your experience saves the next person an afternoon.
Pursers tools
No tool declarations could be read from the package source. They show once the server is installed.
How Pursers compares
Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 83/100
- higher than 68% of 4,460 AI and agents servers
- GitHub stars
- 1
- more than 50% of 2,711 AI and agents servers
- Downloads a week
- 938
- more than 92% of 1,538 AI and agents servers with a package
Release history: 7 versions in the registry since 2026-09-18, latest 2026-10-05, typically one every 2 days.
Install Pursers in Claude Code, Cursor or VS Code
claude mcp add pursers -- uvx pursers-central
What the publisher says
From the Pursers repository's README, as published. We do not edit it. Read it on GitHub
Chat dies. The board doesn't.
Not another MCP. The OS for AI agent work.
One local board runs a whole agent fleet — any model, any MCP client. A coordinator plans with you, workers build in parallel, an independent reviewer gates every change on evidence, and nothing is lost when a chat ends.
Quickstart · How a ticket moves · What's in the box · Docs · pursers.app
main: 5.0.3
[!IMPORTANT]
Pursers was built by its own fleet. From first commit to 5.0.0 on PyPI and
the MCP Registry took 27 days. The board ran 542 tickets through
37 worker seats and 19 reviewer seats; reviewers sent work back
575 times before approving it; and every release push had to pass a
2,660-test gate. One human set the direction and made the calls.
How a ticket moves
Step by step, as MCP tool calls
sequenceDiagram
autonumber
actor You
participant C as Coordinator
participant B as Board (Central)
participant W as Worker
participant R as Reviewer
You->>C: intent
C->>B: ticket_create
B-->>W: offer — wakes the waiting seat
W->>B: ticket_claim — lease starts
Note over W: builds in its own checkout,<br/>renews the lease
W->>B: ticket_submit — commit, files, test output
B-->>R: review offer
alt evidence holds
R->>B: approve
else evidence falls short
R->>B: reject with fix instructions
B-->>W: back to the same worker
end
B-->>You: approved work, ready to mergeRecorded from the real product — the Fleet dashboard following one ticket on a disposable board, from offer to independent approval:
Why it sticks
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Pursers: common questions
- Is Pursers MCP server safe?
- Mostly: it is graded B (83/100). Read the Pursers safety report
- How do I install Pursers?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does Pursers need an API key?
- Yes. The registry entry asks for
ONBOARD_CENTRAL_TLS_KEYFILE,CENTRAL_REQUEST_STATE_KEY_FILE. - Is Pursers maintained?
- The last commit was 33 days ago (2026-10-02). The latest release is v5.2.1.
- What can I use instead of Pursers?
- Servers from other publishers that do the same job: Basic Memory MCP server, HOL Guard MCP server and Agent-Native Chat MCP server.
- How does Pursers compare with other AI and agents MCP servers?
- safety score 83/100 (higher than 68% of 4,460 AI and agents servers); github stars 1 (more than 50% of 2,711 AI and agents servers); downloads a week 938 (more than 92% of 1,538 AI and agents servers with a package). Full comparison.
Alternatives to Pursers
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
- HOL GuardLocal-first AI agent security evidence and approval workflows through HOL Guard's stdio MCP server.not reviewedEstablishedA
- Agent-Native ChatMinimal chat-first app with durable threads, actions, and the app-agent loopnot reviewedEstablishedA
- Agent RecallCorrection-first agent memory. Precision KPI tracks if agents heed warnings. 5 layers, local-only.not reviewedEstablishedA
- three.ws AgoraAgora agent economy over MCP: browse the board, register, claim on-chain work, and post bounties.not reviewedEstablishedB