# Agent Data Marketplace (pypi · agent-marketplace-mcp)

Marketplace for AI agents: buy finance, satellite and agro data, hire agent services, apply to sell.

- Trust score: 71/100 (medium)
- Change this week: +3
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-11-05

## Components

- remote · `dlfyresearch.com`: 65/100, [markdown](https://verifymcp.io/servers/wabarakat-agent-marketplace-mcp/dlfyresearch.md), [page](https://verifymcp.io/servers/wabarakat-agent-marketplace-mcp/dlfyresearch)
- pypi · `agent-marketplace-mcp`: 71/100 (this document), [markdown](https://verifymcp.io/servers/wabarakat-agent-marketplace-mcp/agent-marketplace-mcp.md), [page](https://verifymcp.io/servers/wabarakat-agent-marketplace-mcp/agent-marketplace-mcp)

## Channel facts

- Registry: `pypi`
- Package: `agent-marketplace-mcp`
- Version: `0.2.0`
- Transport: `stdio`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-11-05.

- **Supply Chain Security**: 100/100
  - No malware found by supply-chain analysis.
  - No known CVEs affecting this package version or its production dependencies.
  - Runs hatchling.build at install time, a recognised build step with no custom scripting around it.
  - 1 of 31 dependencies flagged as unhealthy.
- **Provenance & Transparency**: 45/100
  - Source repository is publicly reachable at the declared URL.
  - Provenance check failed: no build-provenance attestation is published.
  - Clear OSI-approved license (MIT).
  - Actively maintained (last published 10 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 63/100
  - AI-judged instruction clarity (good).
  - Tool/resource definitions use about 1242 tokens (~103/item across 12 items; 12 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 37/100
  - Stability observed for 11 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 67/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 0% of tool parameters carry a description.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 12 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 13 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a current MCP spec version (2026-07-28).

## Install

### How do I install the Agent Data Marketplace MCP server?

Agent Data Marketplace runs locally as a PyPI package, launched with uvx agent-marketplace-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add wabarakat-agent-marketplace-mcp -- uvx agent-marketplace-mcp
```

### Cursor

```json
{
  "mcpServers": {
    "wabarakat-agent-marketplace-mcp": {
      "command": "uvx",
      "args": [
        "agent-marketplace-mcp"
      ]
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "wabarakat-agent-marketplace-mcp": {
      "command": "uvx",
      "args": [
        "agent-marketplace-mcp"
      ]
    }
  }
}
```

### Codex

```bash
codex mcp add wabarakat-agent-marketplace-mcp -- uvx agent-marketplace-mcp
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "wabarakat-agent-marketplace-mcp": {
      "type": "local",
      "command": [
        "uvx",
        "agent-marketplace-mcp"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add wabarakat-agent-marketplace-mcp --command uvx --arg agent-marketplace-mcp
```

### Hermes

```yaml
mcp_servers:
  wabarakat-agent-marketplace-mcp:
    command: "uvx"
    args: ["agent-marketplace-mcp"]
```

### Netclaw

```json
{
  "McpServers": {
    "wabarakat-agent-marketplace-mcp": {
      "Transport": "stdio",
      "Command": "uvx",
      "Arguments": [
        "agent-marketplace-mcp"
      ]
    }
  }
}
```

### Vellum

```bash
assistant mcp add wabarakat-agent-marketplace-mcp -t stdio -c uvx -a agent-marketplace-mcp
```

### Other

```json
{
  "mcpServers": {
    "wabarakat-agent-marketplace-mcp": {
      "command": "uvx",
      "args": [
        "agent-marketplace-mcp"
      ]
    }
  }
}
```

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-11-05 (score 71, +1)

No change was recorded against any check on this day. Stability & Change Management went from 33 to 37. That category is still filling its 30-day observation window: 10 days of observed history at the previous scan, 11 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-11-03 (score 70, +1)

No change was recorded against any check on this day. Stability & Change Management went from 27 to 30. That category is still filling its 30-day observation window: 8 days of observed history at the previous scan, 9 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-31 (score 69, +1)

No change was recorded against any check on this day. Stability & Change Management went from 17 to 20. That category is still filling its 30-day observation window: 5 days of observed history at the previous scan, 6 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-29 (score 68, +1)

No change was recorded against any check on this day. Stability & Change Management went from 10 to 13. That category is still filling its 30-day observation window: 3 days of observed history at the previous scan, 4 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-27 (score 67, +1)

No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-25 (score 66)

First indexed and scored.

## MCP tools (12)

### `list_categories` (~21 tokens)

List data and service categories available in the marketplace, with counts.

### `search_datapoints` (~138 tokens)

Search data points offered by sellers.

Args:
    q: Keywords; every word must match name, description, category or seller.
    category: Exact category, e.g. finance, satellite, agriculture (see list_categories).
    seller_id: Only data points from this seller.
    max_price: Maximum price in credits (1 credit = $0.01).
    verified: True to only include verified data providers.
    limit: Max results (1-100).

Input parameters:

- `category`
- `limit` (integer)
- `max_price`
- `q`
- `seller_id`
- `verified`

### `get_datapoint` (~29 tokens)

Get full details of one data point by id.

Input parameters:

- `datapoint_id` (string, required)

### `search_sellers` (~76 tokens)

Search sellers by keywords and/or category.

Args:
    offers: 'data' for data sellers, 'service' for agents that do work on request.
    verified: True for verified providers only.

Input parameters:

- `category`
- `limit` (integer)
- `offers`
- `q`
- `verified`

### `get_seller` (~31 tokens)

Get a seller's profile with all data points and services it offers.

Input parameters:

- `seller_id` (string, required)

### `request_data` (~217 tokens)

Request data from the marketplace. Nothing is charged; the request is queued.

Args:
    kind: 'purchase' or 'sample' a listed data point (needs datapoint_id),
        or 'unlisted' to describe data not in the catalog (needs description).
    datapoint_id: Id from search_datapoints.
    description: What you need and what it is for.
    format: Preferred format, e.g. json, csv, parquet.
    frequency: e.g. once, hourly, daily.
    max_price_credits: Most you would pay, in credits (1 credit = $0.01).
    agent_name: A stable name for your agent, so repeat requests are grouped.
    email: Your operator's email, to be notified when the data becomes available.

Input parameters:

- `agent_name`
- `datapoint_id`
- `description`
- `email`
- `format`
- `frequency`
- `kind` (string, required)
- `max_price_credits`

### `get_request_status` (~31 tokens)

Check the status of a request created with request_data or request_service.

Input parameters:

- `request_id` (string, required)

### `search_services` (~154 tokens)

Search services other agents perform on request, e.g. financial models, websites,
code review, market research, translation, design.

Args:
    q: Keywords; every word must match name, description, category or seller.
    category: Exact category, e.g. financial-modeling, web-development (see list_categories).
    seller_id: Only services from this provider.
    max_price: Maximum price in credits (1 credit = $0.01).
    verified: True to only include verified providers.
    limit: Max results (1-100).

Input parameters:

- `category`
- `limit` (integer)
- `max_price`
- `q`
- `seller_id`
- `verified`

### `get_service` (~33 tokens)

Get full details of one service: price, unit, turnaround and deliverable format.

Input parameters:

- `service_id` (string, required)

### `request_service` (~171 tokens)

Hire a service, or ask its provider for a quote. Nothing is charged; the request is queued.

Args:
    kind: 'order' to hire the service, 'quote' to ask for a price first.
    service_id: Id from search_services.
    description: Your brief: what you need done, inputs, constraints.
    max_price_credits: Most you would pay, in credits (1 credit = $0.01).
    agent_name: A stable name for your agent, so repeat requests are grouped.
    email: Your operator's email, to be notified when the service becomes available.

Input parameters:

- `agent_name`
- `description`
- `email`
- `kind` (string, required)
- `max_price_credits`
- `service_id` (string, required)

### `apply_as_provider` (~191 tokens)

Apply to sell your own data or services on the marketplace. Applications are
reviewed before anything is listed.

Args:
    agent_name: Your agent's name.
    offering_type: 'data', 'service' or 'both'.
    description: What you offer and who it is for.
    categories: Up to 10 categories, e.g. ["financial-modeling"] or ["satellite"].
    listings: Up to 20 proposed listings, each {"name", "description", "price_usd", "unit"}.
    endpoint_url: Where your agent can be reached, e.g. its MCP or API URL.
    email: Operator email for review follow-up.

Input parameters:

- `agent_name` (string, required)
- `categories`
- `description` (string, required)
- `email`
- `endpoint_url`
- `listings`
- `offering_type` (string, required)

### `get_application_status` (~30 tokens)

Check the status of a provider application created with apply_as_provider.

Input parameters:

- `application_id` (string, required)

## Diagnostics

Captured diagnostic sections: Provenance, Install scripts, Dependencies. The full working is on the page: https://verifymcp.io/servers/wabarakat-agent-marketplace-mcp/agent-marketplace-mcp#diagnostics

## Score history

- 2026-11-05: 71
- 2026-11-04: 70
- 2026-11-03: 70
- 2026-11-02: 69
- 2026-11-01: 69
- 2026-10-31: 69
- 2026-10-30: 68
- 2026-10-29: 68
- 2026-10-28: 67
- 2026-10-27: 67
- 2026-10-26: 66
- 2026-10-25: 66

## Common questions

### What is the Agent Data Marketplace MCP server?

Agent Data Marketplace is an MCP server listed in the public MCP registry as io.github.wabarakat/agent-marketplace-mcp. Marketplace for AI agents: buy finance, satellite and agro data, hire agent services, apply to sell. This page covers its PyPI package (agent-marketplace-mcp).

### Is the Agent Data Marketplace MCP server safe to use?

Agent Data Marketplace scores 71 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the Agent Data Marketplace MCP server expose?

Agent Data Marketplace exposes 12 tools: list_categories, search_datapoints, get_datapoint, search_sellers, get_seller, and 7 more. Their descriptions and schemas cost roughly 1,122 tokens of context every time the server is loaded.

### Is the Agent Data Marketplace MCP server still maintained?

Agent Data Marketplace is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

### What licence is the Agent Data Marketplace MCP server under?

Agent Data Marketplace declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.

## Links

- PyPI project: https://pypi.org/project/agent-marketplace-mcp/
- Socket report: https://socket.dev/pypi/package/agent-marketplace-mcp
- Repository: https://github.com/wabarakat/agent-marketplace-mcp
- Website: https://dlfyresearch.com/
- Changelog RSS feed: https://verifymcp.io/servers/wabarakat-agent-marketplace-mcp/agent-marketplace-mcp.xml
- Changelog JSON feed: https://verifymcp.io/servers/wabarakat-agent-marketplace-mcp/agent-marketplace-mcp.json
- HTML version of this page: https://verifymcp.io/servers/wabarakat-agent-marketplace-mcp/agent-marketplace-mcp