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Gossipcat MCP server

by ataberk-xyz·io.github.ataberk-xyz/gossipcat·v0.2.1·41 stars
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Multi-agent orchestration for Claude Code — consensus review, adaptive dispatch, skill learning

C62/100grade C
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Safety scan
C62/100

full report

Adoption
Growing

41 stars97 downloads/wk

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Gossipcat tools (20, 3 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • gossip_bug_feedback

    File a GitHub issue on the gossipcat repo from an in-session bug report. Dedupes against open issues. Requires authenticated gh CLI.

  • gossip_collect

    Collect results from dispatched tasks. Waits for completion by default. Use consensus: true for cross-review round.

  • gossip_dispatch

    Dispatch tasks to agents. mode:"single" (default) sends to one agent. mode:"parallel" fans out to multiple agents. mode:"consensus" dispatches with cross-review instructions. Returns task IDs for collecting results.

  • gossip_format

    Return the canonical CONSENSUS_OUTPUT_FORMAT block. Use this when you need to write an ad-hoc Agent() prompt for a native subagent that should produce findings the consensus engine can parse. Paste the returned string into your prompt verbatim \u2014 the format trains the agent to emit <agent_finding> tags instead of prose.

  • gossip_guide

    Show the gossipcat handbook for humans \u2014 architectural invariants, operator playbook, caveats, hallucination patterns, glossary. Call this when you want to READ the docs, not when you need LLM context. The LLM-facing auto-load lives in gossip_status().

  • gossip_plan

    Plan a task with write-mode suggestions. Decomposes into sub-tasks, assigns agents, and classifies each as read or write with suggested write mode. Returns dispatch-ready JSON for approval before execution. Use this before gossip_dispatch(mode:"parallel") for implementation tasks.

  • gossip_progress

    Show progress of active tasks and consensus rounds. Call during long-running operations to see what agents are doing.

  • gossip_relay

    Feed a native agent result back into the gossipcat relay. Call this after a Claude Code Agent() completes a task dispatched via gossip_dispatch or gossip_run. Enables consensus cross-review and gossip for native agents.

  • gossip_relay_cross_review

    Feed native agent cross-review result back into a pending consensus round. Called after dispatching Agent() for cross-review.

  • gossip_remember

    Search an agent's archived knowledge files.

  • gossip_runwrite action

    Run a task on a single agent and return the result. For relay agents (Gemini), this is a single call \u2014 dispatches, waits, returns. For native agents (Sonnet/Haiku), returns dispatch instructions with gossip_relay callback. Use agent_id:"auto" to let the orchestrator decompose and assign agents automatically.

  • gossip_scores

    View agent performance scores from consensus signals. Shows accuracy, uniqueness, reliability, and dispatch weight for each agent. Use to understand which agents are performing well and which need improvement.

  • gossip_session_save

    Save a cognitive session summary to project memory. The next session will load this context automatically on MCP connect. Call before ending your session to preserve what was learned.

  • gossip_setupwrite action

    Create or update gossipcat team. Default mode is "merge" \u2014 adds/updates specified agents while keeping existing ones. Use "replace" to overwrite entire config. Detects host environment (…) and supports both native Claude Code subagents (.claude/agents/*.md) and custom provider agents (Anthropic, OpenAI, Google Gemini).

  • gossip_signals

    Record or retract consensus performance signals. Use action "record" (default) to record signals after cross-referencing agent findings \u2014 call IMMEDIATELY when you verify. Use action "retract" to undo a previously recorded signal.

  • gossip_skills

    Manage agent skills. Actions: list (show skill index), bind (attach skill to agent), unbind (remove skill from agent), build (create skills from gap suggestions), develop (generate skill from ATI competency data).

  • gossip_status

    Check Gossip Mesh system status, host environment, available agents, dashboard URL/key, and agent list with provider/model/skills.

  • gossip_tools

    List all available gossipcat MCP tools with descriptions. Call after /mcp reconnect to discover new tools.

  • gossip_updatewrite action

    Check for or apply gossipcat updates. Detects install method (global npm, local dep, git clone) and fetches the latest version from the npm registry.

  • gossip_verify_memory

    On-demand staleness check for a memory file claim. Reads the memory file, dispatches a native haiku-researcher utility to verify the claim against current code, and returns a structured verdict (FRESH | STALE | CONTRADICTED | INCONCLUSIVE) with file:line evidence. Call before acting on any backlog item from memory. Spec: docs/specs/2026-04-08-gossip-verify-memory.md

Public scan report

scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it

2 medium
  • Code scan5 source files scanned15/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitystatic API keys via environment variables6/15
  • Maintenancelast push 20 days ago15/15
  • Maintainer identitynamespace and repository owner differ4/10

Findings (2)

  • mediumnpm install lifecycle script presentinstall.script
  • mediumnpm install lifecycle script presentinstall.script
    package.json: …/*/dist dist-mcp/ dist-dashboard/", "postinstall": "node scripts/postinstall.js", "bui…
Overall 62/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Gossipcat compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
62/100
higher than 18% of 4,460 AI and agents servers
Tools
20
the typical AI and agents server has 6
Tools that change things
15%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
41
more than 91% of 2,711 AI and agents servers
Downloads a week
97
more than 63% of 1,538 AI and agents servers with a package

What its tools let an agent do: 17 read · 3 change

Install Gossipcat in Claude Code, Cursor or VS Code

Runs npx -y gossipcat on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add gossipcat -- npx -y gossipcat
Add to Cursor

What the publisher says

From the Gossipcat repository's README, as published. We do not edit it. Read it on GitHub

Multi-agent consensus code review. AI reviewers lie confidently. Gossipcat makes them check each other — against your actual code.

TypeScript · MCP · Claude Code · Cursor · multi-agent

Quick start · How it works · Guide · Handbook · Changelog

A single AI reviewer will, with total confidence, report bugs that aren't there. You read the finding, you go look, you waste twenty minutes — the code was fine. No second opinion, no track record, no way to tell a real catch from a hallucination until you've paid for it.

Gossipcat runs several agents in parallel, has each one verify its peers' findings against your real file:line, and only surfaces what survives. When an agent invents a finding, a peer catches it and the agent's accuracy score drops — over time the system routes each kind of work to whoever is measurably reliable at it. The verdict comes from citation checks against your source, never from one model grading another.

It runs as an MCP server inside Claude Code and Cursor, with a live operator dashboard and a two-way browser chat bridge into the running orchestrator.

Reading a report

Your whole job is four tags:

The DISPUTED false alarm that cross-review kills is the bug a solo reviewer would have shipped to you. That delta is the whole point.

How it works

flowchart LR
    A([agent review]) -->|cites file:line| B([peer cross-review])
    B -->|verifies against code| C{verdict}
    C -->|confirmed| D[reward signal]
    C -->|hallucination| E[penalty signal]
    D --> F[competency score]
    E --> F
    F -->|steer dispatch| G([next agent pick])
    E -->|≥3 in category| H[auto-generate skill]
    H -->|inject into prompt| A
    G --> A
    style A fill:#0ea5e9,stroke:#0369a1,color:#fff
    style H fill:#f59e0b,stroke:#b45309,color:#fff
    style D fill:#10b981,stroke:#047857,color:#fff
    style E fill:#ef4444,stroke:#b91c1c,color:#fff

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Gossipcat: common questions

Is Gossipcat MCP server safe?
With care: it is graded C, so read the findings first (62/100). Read the Gossipcat safety report
How do I install Gossipcat?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Gossipcat need an API key?
Yes. The registry entry asks for GOOGLE_API_KEY.
Is Gossipcat maintained?
The last commit was 58 days ago (2026-09-07). The latest release is v0.2.1.
What can I use instead of Gossipcat?
Servers from other publishers that do the same job: PaperBanana MCP server, Pm Claude Skills MCP server and Watch Skill MCP server.
How does Gossipcat compare with other AI and agents MCP servers?
safety score 62/100 (higher than 18% of 4,460 AI and agents servers); tools 20 (the typical AI and agents server has 6); tools that change things 15% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

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