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  3. Agenthold
Agenthold logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 4:19:48 PM

Agenthold

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View Repository2 GitHub StarsTotal stargazers on GitHub for the source repository (2 stars).Visit Website
concurrencyagent-coordinationsqlitedeveloper-tools

Coordinates concurrent agents with SQLite-backed claims, version checks, release outcomes, and waitable resource locks.

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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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": {
    "edobusy-agenthold": {
      "command": "uvx",
      "args": [
        "agenthold"
      ]
    }
  }
}

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

Install Tool Schemas (5) Directory Badge Claim listing Alternatives🧠 More in Knowledge & Memory

Overview

The edobusy/agenthold MCP server coordinates concurrent AI agents around shared resources using claims, releases, and version-aware state. It stores coordination data in SQLite and uses optimistic concurrency control to detect stale writes rather than silently accepting them. Agents register for an ID, claim resources before modifying them, release them with an outcome, and can inspect or wait for availability. Reach for it when multiple agents may edit the same files, records, or other named resources.

Use cases

•Coordinate agents editing the same workspace files
•Prevent stale read-modify-write updates
•Record release outcomes for subsequent agents
•Wait for resources held by another agent
•Coordinate resources across multiple workspaces

Key features

•SQLite-backed shared state
•Optimistic concurrency control
•Exclusive resource claims and releases
•Waitable resource availability
•Canonical file and custom resource URIs
•Append-only audit logging

Capabilities & Tool Schemas (5) ~182 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 Agenthold.

agenthold_register

Register yourself and receive a unique agent ID. Must be called once before using `agenthold_claim` or `agenthold_release`.

agenthold_claim

Claim exclusive access to a resource before modifying it. Requires a registered `agent_id`.

agenthold_release

Release your claim with an explicit outcome describing what you did. The outcome is preserved in the free-state record and shown to the next claimant so they don't act on stale assumptions. Requires a registered `agent_id`.

agenthold_status

Check whether a resource is available or currently claimed. Does not require registration.

agenthold_wait

Wait for a claimed resource to become available. Blocks the agent turn until the holder releases, or the timeout expires.

How Agenthold works

What edobusy/agenthold MCP server does

The edobusy/agenthold MCP server provides coordination primitives for agents that may work on the same resource at the same time. It is intended to prevent one agent from overwriting another agent's work without detecting the conflict. The server uses SQLite as its backing store and maintains versioned state, claims, and an append-only audit log.

Resources can represent workspace files or opaque custom names. File resources use canonical URIs such as file://default/path/to/file, while custom resources use custom://name. Bare paths are also accepted and resolved against a configured workspace. Equivalent path forms are normalized so agents do not accidentally coordinate on separate keys for the same resource.

How it works

The edobusy/agenthold MCP server combines exclusive claims with optimistic concurrency control. An agent first registers to receive an identifier, then claims a resource before changing it. If another agent already holds the claim, the response reports that the resource is busy. The waiting agent can choose another resource or use the wait tool until the claim is released or a timeout occurs.

Each stored value has a version. A write based on an older version is rejected and includes the current value, allowing the agent to reread state, recalculate, and retry. This approach avoids keeping a database lock open while an agent performs network requests or generates text.

When releasing a resource, the agent supplies an outcome describing what happened. That outcome remains available to a later claimant, helping the next agent understand prior work instead of relying on stale assumptions. Claim responses can also include information about previous deletion, movement, abandonment, or expiration activity when relevant.

Setup and configuration

Install the Python package with pip install agenthold or uv pip install agenthold. An MCP client can launch the server with the agenthold command. The example configuration passes --db with a path for the SQLite database.

Without workspace flags, the process creates a default workspace based on its current working directory. Additional workspaces can be supplied with repeatable --workspace name=path options, allowing one process to coordinate resources across separate codebases. The database location and workspace paths should be selected consistently for all clients that need to share state.

Tools and capabilities

The server exposes five MCP tools:

  • agenthold_register creates an agent identity. Registration is required before claiming or releasing resources.
  • agenthold_claim requests exclusive access to a resource and returns its version when successful.
  • agenthold_release ends a claim and records an explicit outcome.
  • agenthold_status reports whether a resource is available or claimed and does not require registration.
  • agenthold_wait blocks until a claimed resource becomes available or its timeout expires.

Limitations and notes

The edobusy/agenthold MCP server is coordination infrastructure, not an agent orchestration framework. It supplies shared state and resource ownership while the surrounding framework remains responsible for the actual work and retry behavior.

Agents must register before using claim or release. A claim controls access to the named resource, but the agent still needs to perform the underlying file or state modification through its other tools. For optimistic concurrency control to help, agents must use the returned version and respond to conflicts by rereading and retrying.

Path traversal and dot segments are rejected. On case-insensitive platforms, file paths are matched without case distinctions; custom resource names remain case-sensitive.

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
2
Stargazers on the source repository.
Last commit
2mo ago
Most recent push to the default branch.
Tools exposed
5
Callable tools this server registers over MCP.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Agenthold

Install the Python package with `pip install agenthold` or `uv pip install agenthold`, then configure your MCP client to launch the `agenthold` command.

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Technical Specs & Signals

Category🧠Knowledge & Memory
PricingFree
More technical detailsExpand ā–¾
TransportSTDIO
RuntimePython
AuthNo auth required
LicenseMIT
ClientsClaude Desktop, Cursor, Windsurf
Last updatedSep 7, 2026
9/9 checks healthy over the last 32d
Views3
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 stars2
GitHub Star CountTotal stargazers on GitHub representing community popularity (2 stars).
Last commit2mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Jul 7, 2026
53Quality signal: Good Ā· 53/100How this signal is calculated ā–¾
Server availabilityNot measured

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

Verified ownership10/20
Documentation & tools27/30
Adoption & activity3/15
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 21d ago via OSV.dev Ā· agenthold (PyPI)

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