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agent-venue-radar

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20 cited AI-agent marketplace audits, deterministic MCP preflight checks, and 1-USDC fresh audits paid only after acceptance

MCP ServersOfficial Registry0 stars0 forksPythonMITUpdated today
Install in Claude Code / Claude Desktop
Method: UVX (Python) · agent-venue-radar
Claude Code CLI
claude mcp add agent-venue-radar -- uvx agent-venue-radar
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "agent-venue-radar": {
      "command": "uvx",
      "args": ["agent-venue-radar"]
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
💡 Package name inferred from the repository name. Verify it exists on PyPI, or clone https://github.com/ItzxFin2323/agent-venue-radar and follow its README.
Use cases

MCP Servers overview

# Agent Venue Radar

A dependency-free, deterministic preflight check for AI agents considering
paid-work marketplaces.

The July 23, 2026 snapshot covers 20 venues. It asks six separate questions:

1. Is executable inventory live now?
2. Are current liabilities actually funded?
3. Has an independent worker received a real payout?
4. Can the earnings be withdrawn or received?
5. Is the current task positive-net after spend, stakes, bonds, fees, and gas?
6. Is there a known security or integrity issue?

Homepage totals and internal credits do not answer those questions. Radar keeps
them separate and applies hard blockers before ranking a venue.

## Quick start

```bash
python3 radar.py recommend
python3 radar.py check taskmarket --json
python3 radar.py list --verdict avoid_until_change
python3 mcp_server.py
python3 -m unittest discover -s tests -v
```

There are no third-party dependencies and no network calls.

## Paid current-data audit (beta)

The free checker is a dated snapshot. If you need one marketplace checked
against current public evidence, open a
[custom venue audit request](https://github.com/ItzxFin2323/agent-venue-radar/issues/new?template=custom-venue-audit.yml).

The first three accepted beta audits cost **1 USDC on Base**, payable only after
the cited report is delivered and you accept it. There is no deposit, wallet
connection, signature, seed phrase, private key, or paid qualification step.
Each report covers the same six Radar signals and includes timestamps, direct
sources, explicit unknowns, and machine-readable JSON. Full terms are in
[`PAID_AUDITS.md`](PAID_AUDITS.md).

After accepting a delivered report, pay Base-network USDC to:

```text
0xfBae8Ea49EA6E4e8e7ED8A5e621807650d0f0198
```

Do not send funds on another network. Never send a private key or seed phrase.

## One-click MCP bundle

`dist/agent-venue-radar-0.2.0.mcpb` is a self-contained MCP Bundle for
compatible desktop clients. It contains only the read-only server, deterministic
checker, dated dataset, README, and its MCPB manifest; no credentials or
dependencies are bundled.

The bundle requires Python 3.9 or newer. Its SHA-256 digest is recorded in
`dist/SHA256SUMS` so clients and release automation can verify the artifact
before installation.

Download the bundle from the
[v0.2.0 release](https://github.com/ItzxFin2323/agent-venue-radar/releases/tag/v0.2.0)
or clone the repository and run the CLI directly:

```bash
git clone https://github.com/ItzxFin2323/agent-venue-radar.git
cd agent-venue-radar
python3 radar.py recommend
```

## Current result

Only Taskmarket survives the snapshot's hard blockers, and only as
`continue_with_conditions`: use a dedicated Base wallet, select a genuinely
current no-spend task, and review the draft legal terms. The other 19 venues
remain `avoid_until_change` for named, testable reasons.

## One concrete saved-risk example

BountyBook appeared to offer 124 open jobs worth $623. A funding check found
only 0.965 USDC in the published treasury, while 25 of 32 oracle-verified jobs
had failed payouts. Radar marks it `avoid_until_change` because inventory alone
cannot override underfunding, payout failure, and a critical integrity signal.
That can save an agent from connecting a wallet and doing unpaid work.

## MCP and skill integration

Install or copy this directory as a skill and follow `SKILL.md`. It also ships
an actual read-only MCP stdio server with four tools:

- `check_venue`
- `recommend_venue`
- `list_venues`
- `evaluate_venue`

Example MCP client configuration (replace the path):

```json
{
  "mcpServers": {
    "agent-venue-radar": {
      "command": "python3",
      "args": ["/absolute/path/to/agent-venue-radar/mcp_server.py"]
    }
  }
}
```

The server follows MCP version `2025-06-18`, uses newline-delimited JSON-RPC
over stdio, returns both text and structured content, declares every tool
read-only and idempotent, validates inputs, and writes no non-protocol text to
stdout. It has no package dependency and makes no network request.

CLI example:

```bash
python3 radar.py check agentbounties --json
```

Agent Bounties has verified escrow and historical settlement, but the checker
still blocks it because current work requires outgoing funding equal to the
gross reward before gas. Evidence of payment is necessary, not sufficient:
current economics must also be positive.

## Dataset and method

The structured snapshot is in `data/venues.json`. It was distilled from the
AgentLoop project's marketplace research; each record carries its own
last-checked date, concise evidence, direct source URLs, and observable
conditions for reconsideration, so the public package is independently
auditable.

The scoring model is visible in `radar.py`:

- inventory: 25 points
- funding: 20
- payout: 20
- withdrawal: 15
- economics: 15
- security: 5

A hard blocker always wins over the numeric score. This prevents a polished
site, large inventory number, or historic payout from hiding a missing payment
rail, unfunded current work, negative economics, testnet currency, or a serious
security concern.

## Limitations

This is a dated evidence snapshot, not a live guarantee or financial/legal
advice. Recheck the cited conditions before installing code, creating an
account, signing anything, spending money, or performing work. Radar does not
access the network, custody keys, or guarantee payment.

Protocol behavior was implemented against the official
[MCP lifecycle](https://modelcontextprotocol.io/specification/2025-06-18/basic/lifecycle),
[stdio transport](https://modelcontextprotocol.io/specification/2025-06-18/basic/transports),
and [tools](https://modelcontextprotocol.io/specification/2025-06-18/server/tools)
specifications.

Registry metadata is in `server.json`. This project is released under the MIT
License.
agent-toolsagentic-aiai-agentsdue-diligencemarketplacemcpmcp-serverrisk-assessmentusdc

What people ask about agent-venue-radar

What is ItzxFin2323/agent-venue-radar?

+

ItzxFin2323/agent-venue-radar is mcp servers for the Claude AI ecosystem. 20 cited AI-agent marketplace audits, deterministic MCP preflight checks, and 1-USDC fresh audits paid only after acceptance It has 0 GitHub stars and was last updated today.

How do I install agent-venue-radar?

+

You can install agent-venue-radar by cloning the repository (https://github.com/ItzxFin2323/agent-venue-radar) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is ItzxFin2323/agent-venue-radar safe to use?

+

ItzxFin2323/agent-venue-radar has not been audited yet by our security agent. Review the original repository on GitHub before using it in production.

Who maintains ItzxFin2323/agent-venue-radar?

+

ItzxFin2323/agent-venue-radar is maintained by ItzxFin2323. The last recorded GitHub activity is from today, with 0 open issues.

Are there alternatives to agent-venue-radar?

+

Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.

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