ZBS Index What actually exists in applied AI, with the source next to it

mcp server

bielacki-igdb-mcp-server

Explore and discover video games from the Internet Game Database. Search titles, view detailed inf…

Description as published by the maintainer. Source

  • version 1.14.0
  • stale
  • retrieval

stale — Most recent push to the repository was 2025-09-30. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.

What this server can do

The endpoint published in the registry did not answer (HTTP 404). The listing points at a server that is not running.

Endpoint status observed on . Source: https://server.smithery.ai/@bielacki/igdb-mcp-server/mcp.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
GitHub stars 4 Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. cumulative, all time GitHub
Last commit 2025-09-30 Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. point in time GitHub
Open issues 2 Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. as of fetch GitHub
Latest published version 1.14.0 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2025-09-29 When the registry record was last updated by its maintainer. point in time Model Context Protocol
License MIT Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. as of fetch GitHub
First listed in the MCP Registry 2025-09-29 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
repository status active The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. as of fetch GitHub
mcp endpoint status unreachable The endpoint published in the registry did not answer (HTTP 404). The listing points at a server that is not running. as of probe server.smithery.ai

Where to get it

Related, by what their authors tagged them

  • GameFork MCP — last commit 2026-06-30, shares games
    Publish, fork, improve browser games. No-auth reads; OAuth to post. Wheel: verified ops knowledge.
  • Steam Trends API — last commit 2026-08-03, shares gaming
    Steam concurrent player trends for any game over time. Free key at trendsapi.ai
  • io.github.ebrunet001/mcp-server-lol — last commit 2026-07-05, shares gaming
    League of Legends AI coaching: player profiles, match history, ranked stats & performance analysis
  • io.github.ebrunet001/mcp-server-tft — last commit 2026-07-05, shares gaming
    Teamfight Tactics AI coaching: composition analysis, augment optimization & improvement tips
  • methods-mcp — last commit 2026-07-01, shares fastmcp, pydantic
    MCP server for structured methods extraction + reproducibility heuristics on academic papers.
  • com.clauxel.pydanticcontract/pydanticcontract-mcp — last commit 2026-05-21, shares pydantic
    A paid remote MCP for Pydantic AI structured output, built to return verdicts, receipts, usage logs,
  • 2Captcha MCP — last commit 2026-07-20, shares pydantic
    Full 2Captcha API (43 tools) for Claude Code: 31 captcha solvers + management + webhook.
  • io.github.devilsfave/dagpipe — last commit 2026-07-20, shares pydantic
    Crash-proof LLM pipelines. Resumes from failure without a database.
  • agenthold — last commit 2026-07-07, shares pydantic
    Shared versioned state for multi-agent AI workflows
  • Unraid RMCP — last commit 2026-08-05, shares fastmcp
    Rust MCP server and CLI for Unraid GraphQL operations across NAS, Docker, VM, and storage workflows.

These share tags the maintainers applied themselves, such as games, gaming, fastmcp, pydantic. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.

This is not a recommendation and not a test result. It is a map of what the authors said their work is about.

How the author describes it

Topics the maintainer set on GitHub: ai-tools, api-wrapper, fastmcp, game-database, games, gaming, igdb, igdb-api, llm-tools, mcp, mcp-server, model-context-protocol, pydantic, python, video-games.

This record as data

Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.

GET /api/v1/entries/mcp_server.json

Sources

  1. bielacki/igdb-mcp-server on GitHub — GitHub, observed , trust tier 3.
  2. Official MCP Registry — Model Context Protocol, observed , trust tier 1.
  3. Tools declared by the MCP server at https://server.smithery.ai/@bielacki/igdb-mcp-server/mcp — server.smithery.ai, observed , trust tier 1.