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  1. Home
  2. πŸ’¬ Communication
  3. Agent Mesh
A
Health: ActiveRecent health check succeeded.Last checked 10/14/2026, 9:46:50 PM

Agent Mesh

InstallableWe know how to install it, but have not yet seen it complete a handshake. User RatingsBe the first to rate and review this MCP server!
View Repository1 GitHub StarsTotal stargazers on GitHub for the source repository (1 stars).
multi-agentcoordinationmessagingauditmcp

Coordinates parallel agents with messaging, receipts, routing, health checks, and quorum-based decisions over MCP.

Quick Install

Automated & IDE Setup

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

Add to CursorAdd to VS Code
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 β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "agent-mesh": {
      "command": "npx",
      "args": [
        "-y",
        "--package=meshfleet",
        "--",
        "agent-mesh"
      ]
    }
  }
}

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

Install Tool Schemas (32) Directory Badge Claim listing AlternativesπŸ’¬ More in Communication

Overview

The agent-mesh MCP server coordinates independent agent processes into fleets with peer messaging, witnessed delivery receipts, and quorum-based ratification. It exposes MCP tools for spawning and attaching agents, collecting results, routing work, monitoring health, and auditing the ledger. OpenCode is the primary supported host, while configured runtimes can include other command-line workers. Reach for it when a task benefits from parallel specialists and an inspectable record of communication and approvals.

Use cases

β€’Spawn parallel specialists for repository exploration and implementation
β€’Route tasks to agents by registered roles and skills
β€’Record peer communication with per-recipient receipts
β€’Run quorum-based reviews with required sign-offs
β€’Audit fleet events and ledger consistency

Key features

β€’Parallel fleet spawning with independent OS processes
β€’Peer-to-peer messaging with witnessed receipts
β€’Quorum ratification and recorded voting
β€’Role-based routing and capability registration
β€’Fleet-wide SSE event subscriptions
β€’Ledger and build-identity verification

Capabilities & Tool Schemas (32) ~946 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 β€” may be incomplete or out of date.

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

spawn_fleet

Spawn N parallel agents as independent OS processes; each agent may select a registered `runtime` plus its required opaque `workspace_binding`, or use the default OpenCode runtime and optional `model` (`provider/model`) selector

spawn_from_template

Spawn a fleet from a saved template

save_fleet_template

Reusable, versioned fleet configs

list_fleets

All fleets, or one fleet's full state

collect_results

Gather every agent's final output in one call

set_fleet_timeout

Per-fleet timeout override (in ms)

How Agent Mesh works

What agent-mesh MCP server does

The agent-mesh MCP server organizes multiple workers into fleets of independent operating-system processes. A fleet can contain agents with separate roles and prompts, and may use the default OpenCode runtime or an operator-configured runtime. Agents can work in parallel, exchange messages, ask questions, and return final results for collection.

Coordination actions are recorded in a ledger. Messages create per-recipient delivery records, including delivery, viewing, and acknowledgement state. Decisions can be opened as ratifications with a quorum, deadline, required sign-offs, and optional voter weights. Agents can cast or change their effective vote, while the underlying history remains recorded.

The project is an MIT-licensed core and is deliberately pre-1.0. Its stated boundary excludes provider-account management, credentials, billing, spending authority, external publication, and managed policy.

How it works

Use spawn_fleet to start a set of agents, or spawn_from_template to create one from a saved configuration. Templates can be versioned and reused. attach_agent adds a premade agent to an active fleet. Fleet state, health, timeouts, and final outputs are available through dedicated tools.

Agents communicate through direct or broadcast messages. send_messages provides atomic batches of up to 1,000 messages. Consumers can poll with get_inbox, which acknowledges received messages, or subscribe through server-sent events with subscribe_inbox. subscribe_events provides a fleet-wide event stream, optionally filtered by fleet.

The agent-mesh MCP server supports operational checks through ledger verification, build-identity reporting, and health inspection. The versioned verifier variants use read-only snapshots and return consistency information; they do not add ledger writes. Routing tools can match work against registered roles and skills, record outcomes, or produce advisory candidate projections without executing providers.

Setup and configuration

The published package is named meshfleet, not agent-mesh. Install it globally with npm install -g meshfleet, or clone the repository, install dependencies, and build it with npm install && npm run build.

For the published package, configure an MCP host to run npx -y meshfleet as a local server, then restart the host. The documented primary host is OpenCode. A source checkout can instead run its built dist/index.js entrypoint, but the source-checkout configuration is intended for development rather than release use.

The package includes a no-key demonstration command that uses a temporary ledger. A configured ledger can be inspected with the package explicitly selected through npx. MESHFLEET_DB_FILE can point to another ledger file when an existing database was created by a newer package version.

Runtime selection is operator-controlled. OpenCode is the default. Other runtimes require their own configuration; some require an absolute command, a version label, and an opaque workspace binding. Model selectors use the provider/model form where supported.

Tools and capabilities

  • Spawn fleets, load saved fleet templates, attach agents, and set fleet-specific timeouts.
  • List fleet and agent state, collect final outputs, and inspect health or build identity.
  • Send direct, broadcast, or batched peer messages and receive them by polling or SSE.
  • Write, query, and verify witnessed-delivery records.
  • Open ratifications, cast votes, and resolve quorum decisions.
  • Register agent capabilities, route work, recommend routes, and record routing outcomes.
  • Discover premade agent personalities and run bounded peer discussions with ask_peer and wake_agent.

Limitations and notes

The agent-mesh MCP server does not itself provide provider credentials, account operations, billing information, quota data, authentication claims, or external attestation. Runtime wrappers own their authentication, and the server passes a scrubbed environment rather than reading or serializing credentials.

OpenCode is the first-class host described by the project. The core uses standard MCP, but broader host support is presented as demand-driven rather than guaranteed by the README. The project should therefore be tested with the intended MCP client and configured runtime before production use.

The source-only local-demo runtime is a deterministic worker for demonstrations and is not included in the published package. It does not silently replace failed real agents. Cryptographic signing and auditor-grade attestation belong to a separate paid layer, while coordination and verification remain part of the MIT core.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
1
Stargazers on the source repository.
npm downloads
8
Package downloads in the last 30 days.
Last commit
1d ago
Most recent push to the default branch.
Tools exposed
32
Callable tools this server registers over MCP.

Reviews

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Frequently Asked Questions about Agent Mesh

agent-mesh is an MCP server that connects an MCP host with coordinated agent fleets and configurable runtimes. Its main tools spawn and attach agents, send peer messages, collect results, record witnessed receipts, route work, monitor health, verify the ledger, and run quorum-based ratifications. OpenCode is the primary documented host.

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Technical Specs & Signals

CategoryπŸ’¬Communication
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
LicenseMIT
ClientsClaude Desktop, Cursor, Cline / VS Code, Windsurf, Claude Code, VS Code (GitHub Copilot), Zed, OpenAI Codex CLI, Gemini CLI, JetBrains AI Assistant, Roo Code, Continue, LM Studio
Last updatedOct 14, 2026
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 stars1
GitHub Star CountTotal stargazers on GitHub representing community popularity (1 stars).
Last commit1d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Oct 13, 2026
npm downloads8/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
53Quality signal: Good Β· 53/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools25/30
Adoption & activity5/15
Community engagement0/10

A guidance signal from public completeness & health data β€” 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.

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