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Forecast Accuracy & Track Record MCP Server

Forecast track records: forecasts vs actuals, earnings beats, prediction markets, archived news.

Forecast Accuracy & Track Record MCP scores 38 (Limited), licensed MIT and written in Python. It can be reached as a remote MCP endpoint. It does not declare tools yet. Filed under Web scraping. GitHub shows 1 stars. Install configs are generated for 10 clients. Being listed in the registry is not the same as being vendor-official.

by geminigeorge22MITPython1 stars
Trust score
38Limited
Trust score 38 of 100, Limited

Limited trust

38 of 100 from six public signals. Nobody can buy a point.

  • OSI-style license: mit.
How we score trust
Scorecard

License, quality and maintenance

How grades work
Trust breakdown

Where the 38 comes from

0 + 20 + 1 + 10 + 4 + 3 = 38. Each factor is capped, so no single signal can carry a listing.

Registry0 / 30

Active in the official MCP registry, plus a known vendor namespace.

Registry: 0 of 30 points.
Maintenance20 / 20

How recently the repository saw a commit or release.

Maintenance: 20 of 20 points.
Popularity1 / 20

GitHub stars and weekly downloads, on a log scale.

Popularity: 1 of 20 points.
License10 / 10

A clear, OSI-style open-source license.

License: 10 of 10 points.
Security4 / 10

Not archived, a secure install path, a pinned version.

Security: 4 of 10 points.
Docs3 / 10

A real summary, a README with depth, listed tools.

Docs: 3 of 10 points.

Install

Pick your client, copy the config, paste it in.

Needs Cursor or VS Code installed on this device. The button opens the app and asks you to confirm before it adds the server.

~/Library/Application Support/Claude/claude_desktop_config.json
{  "mcpServers": {    "geminigeorge22-forecast-accuracy-mcp": {      "command": "uvx",      "args": [        "forecast-accuracy-mcp"      ],      "env": {        "APIFY_TOKEN": "YOUR_APIFY_TOKEN"      }    }  }}

Environment variables

NameRequiredNotes
APIFY_TOKENSecretRequiredYour own Apify API token. Needed for tools/call; tools/list works without it.

Tools show up when the registry metadata or the repository README lists them. Public READMEs are read directly. A GitHub token is used only when one is already configured.

About

Forecast track records: forecasts vs actuals, earnings beats, prediction markets, archived news. MCP server: hosted endpoint via Apify plus open-source stdio proxy.

Frequently asked questions

What is Forecast Accuracy & Track Record MCP Server?

Forecast track records: forecasts vs actuals, earnings beats, prediction markets, archived news.

How do I install Forecast Accuracy & Track Record MCP Server in Claude Desktop, Cursor, or VS Code?

Pick your client in the Install section on this page and copy the generated config into the client's config file. Step-by-step guides: Claude Desktop, Cursor, and VS Code. Forecast Accuracy & Track Record MCP Server runs locally from the PyPI package forecast-accuracy-mcp with the command uvx forecast-accuracy-mcp.

Is Forecast Accuracy & Track Record MCP Server free and open source?

Yes. Forecast Accuracy & Track Record MCP Server is released under the MIT license, an OSI-approved open-source license, so you can use, modify, and self-host it under those terms.

Does Forecast Accuracy & Track Record MCP Server support remote (HTTP) connections?

Yes. Forecast Accuracy & Track Record MCP Server offers a hosted endpoint over Streamable HTTP, so HTTP-capable clients can connect to it without running anything locally.

How is Forecast Accuracy & Track Record MCP Server's trust score calculated?

Forecast Accuracy & Track Record MCP Server scores 38 out of 100 (Limited). The score adds six capped public signals: registry status, maintenance, popularity, license, documentation, and security. Nobody can pay for points. Read the methodology for the full formula.

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