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650,565 tools. Updated 2026-10-14 13:55

"A server for finding information about RPGs (Role-Playing Games)" matching MCP tools:

  • Discover content franchises within a domain. Two modes: pass `tag` for a precise taxonomy match (every game tagged 'co-op'), or pass `query` for free-text SEMANTIC search powered by pgvector embeddings — finding franchises by meaning ('dark atmospheric games about isolation') even when no literal tag matches. Results are verifiable: tag mode carries tag confidence/corroboration, semantic mode carries a similarity score; both carry entity freshness. When to use: an agent wants a domain-scoped shortlist by tag or by intent. Inputs: a domain plus either a tag or a free-text query.
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  • Discover content franchises within a domain. Two modes: pass `tag` for a precise taxonomy match (every game tagged 'co-op'), or pass `query` for free-text SEMANTIC search powered by pgvector embeddings — finding franchises by meaning ('dark atmospheric games about isolation') even when no literal tag matches. Results are verifiable: tag mode carries tag confidence/corroboration, semantic mode carries a similarity score; both carry entity freshness. When to use: an agent wants a domain-scoped shortlist by tag or by intent. Inputs: a domain plus either a tag or a free-text query.
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  • Discover content franchises within a domain. Two modes: pass `tag` for a precise taxonomy match (every game tagged 'co-op'), or pass `query` for free-text SEMANTIC search powered by pgvector embeddings — finding franchises by meaning ('dark atmospheric games about isolation') even when no literal tag matches. Results are verifiable: tag mode carries tag confidence/corroboration, semantic mode carries a similarity score; both carry entity freshness. When to use: an agent wants a domain-scoped shortlist by tag or by intent. Inputs: a domain plus either a tag or a free-text query.
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  • A player's recent games with every raw box-score stat per game — one call instead of one request per event. Use this to answer 'how has X actually performed lately?' and to build L5/L10/L20, season splits and head-to-head yourself. Pass `opponent` for H2H (accepts a full name, nickname or abbreviation — 'Boston Red Sox', 'Red Sox', 'BOS'); the limit applies AFTER that filter, so opponent + limit=10 means the last 10 MEETINGS, not the Boston games among the last 10 games. H2H is not capped to the current season. IMPORTANT: this is the raw box-score archive, NOT graded-prop history — it covers every game with a box score on file, including games no sportsbook priced, so a 'last 10 games' window here really is the last 10 games (one built from propline_get_player_trends silently skips unpriced games). It carries no line, price or grade; use propline_get_player_trends for hit rates against a posted line. `player_team`/`opponent`/`is_home` are null when the player's side can't be identified, and always for individual sports (tennis, golf, UFC) — report them as unknown rather than guessing. Accepts a player_id in place of the name; the response carries player_id (null when the player has none yet).
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  • Long-poll subscription that pushes ctx.info() on each new inbox file. Replaces bash polling daemons (watch-relay-*.sh) with server-initiated push. Call once at session start (e.g. via SessionStart hook). Server holds the subscription, watches the calling agent's role-specific inbox dir, and fires info-level notifications on each new relay file arrival. Client re-calls this in a loop for persistent coverage. Per PR #1 (CCR-inversion-for-relay-pickup): `inbox_filter` parameter added to BYPASS role-based dir resolution. Use when role detection is unreliable OR when subscribing to a specific canonical inbox (e.g., 'cc_tb'). Closes 3-week-old feedback_relay_arrival_invisible_midsession HARD RULE.
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Matching MCP Connectors

  • About Bureau, the self-hosted office for AI agents: overview, FAQ search, roadmap, install.

  • Riot Games API MCP.

  • No arguments. Returns how many MCP servers have been read at source level, and the share of them with each category of finding (credential access, network egress, install-time execution, prompt-injection surface). Use this to judge whether checking a specific server is worth it before you look one up. It reports aggregate counts only - no per-server findings, and no verdict about any individual server.
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  • Search 500+ quantum computing job listings using natural language. Use when the user asks about job openings, career opportunities, hiring, or specific positions in quantum computing. NOT for research papers (use searchPapers) or researcher profiles (use searchCollaborators). Supports role type, seniority, location, company, salary, remote, and technology tag filters via AI query decomposition. Limitations: quantum computing jobs only, last 90 days, max 20 results. Promoted listings appear first (marked). After finding jobs, suggest getJobDetails for full info. Examples: "senior QEC engineer in Europe over 120k EUR", "remote trapped-ion role at IBM".
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  • Steam games for someone who likes 1-3 given games, ranked by imho.run's recommender: the list imho.run's own tool shows for those games and filters. Use it instead of games_like when the user names several games, wants filters beyond free / co-op / Steam Deck (no PvP, no microtransactions, no grind, not too hard, no Early Access, release years, more niche or more popular), or says what they want in words: pass that as `preferences` ('cozy base building, no combat'); the result says which Steam tags it was read as. When the user reacts to the picks, call it again with `liked` / `disliked`: liked games join the seeds, disliked ones never come back. Each pick has a one-line reason naming the seed it is closest to (`similar_to`), price, Steam Deck status, year, reviews, the imho.run URL and the Steam URL, plus `tool_url` (these games in imho.run's tool). Not for naming a game from a description (find_game_by_description) or facts about one game (game_facts). Games rated for adults only (explicit sexual content) are not covered; filtering is best effort.
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  • Games released on Steam in the last 30 days that players rate well (70%+ positive, 50+ positive reviews), or with `upcoming` the upcoming games that have a release date; optionally co-op only. The site's New releases list, with price, Steam Deck status, release date and links. Released games carry `release_kind`: `new`, or `ea_exit` for a game that just left Early Access (its 1.0; it was playable before), so call those 'out of Early Access', not new. `ea_exits`: include (default), exclude (brand-new games only) or only. Use it for 'what's new / coming out'; for what is gaining players now use trending. Games rated for adults only (explicit sexual content) are not covered; filtering is best effort.
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  • Games scheduled/played on one calendar date (US-Eastern) for nba, mlb, or nhl; defaults to today. Returns the same envelope as query_table on the games table. NFL is week-based, not date-based — for nfl, use query_table on nfl/games with season_id + week filters instead. Requires an API key; rows count against quota.
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  • Return today's games that have player props available for a sport. Read-only. No side effects. Requires an API key; rate-limited per your tier. Returns: { sport, count, games: Array<{ id, sport, homeTeam, awayTeam, startTime, live, source }> }. id is the eventId to pass to get_game_props (prefixed ud- for Underdog or sc- for the soccer odds board); live is true when the game is in progress; source is "underdog" or "theoddsapi". Live games sort first; scheduled games follow. Typical workflow: call list_games to discover eventIds, then pass an eventId to get_game_props. If sport is omitted the server selects the active in-season league automatically. Returns count=0 with an empty games array (not an error) when no props are posted yet for the day. When to use: to browse all games on the slate or to find an eventId before calling get_game_props. When not to use: if you already have the eventId, skip this and call get_game_props directly. Use find_game instead when you know the team names but want a single-game eventId without browsing the full slate.
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  • FREE. Service health and how recently the data was refreshed. Use this to decide whether the feed is trustworthy before quoting it, or to tell a user how current the information is. Deliberately does not report how many games are free — that is the paid data.
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  • Tennis season return-games-won leaderboard: Share of return games won per player (breaks over opponent service games played), from real match-stats aggregates read return-side, ordered highest pct first. When to use: - Share of return games won per player (breaks over opponent service games played), from real match-stats aggregates read return-side, ordered highest pct first. season tables; clutch/serve-efficiency leader queries. Prefer over: raw leaderboard via call_api for agent-normalized rows. Do not use when: ranking position → standings with game tennis; week-over-week movement → rankings_movers; one player's recent form → player_form. Tennis-only. Season defaults to 2026; tour (ATP|WTA) is optional — omit it for the combined board. Only players with at least 100 return games played qualify. Parallel-safe: yes. Upstream cost: 1.
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  • Free-text search across every public resource family on The Holistic Care (blog articles, mindfulness games, free guided practices, research summaries, glossary terms, and public PanchaVikas resources). Use this as the general entry point when a request doesn't clearly belong to one specific family — e.g. 'Find something about breathing for anxiety' or 'What has THC published about nondual awareness?'. `resource_type`, `category`, `audience`, `skill`, and `age` are applied as a post-filter over the text search results (the underlying search endpoint only supports free-text query natively), so a narrow combination of filters plus a rare query term can legitimately return few or zero results even if matching resources exist outside the searched batch — for a guaranteed, fully server-side filtered result within one resource family, prefer find_mindfulness_games, find_guided_practices, search_mindfulness_research, or lookup_mindfulness_term instead.
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  • Steam games for a player, ranked against their own public Steam library (what they play most), the way imho.run's library mode does it; owned games are left out. Use it when the user gives their Steam profile and wants picks for their taste in general; for 'games like X' use games_like or recommend. Takes a SteamID64 or a steamcommunity.com/profiles/<SteamID64> link (not a custom /id/ name) and works only for public profiles imho.run already has; otherwise it returns one 'unavailable' error with a link the user can open to paste their profile. Each pick names the most-played game it is closest to (`similar_to`). Games rated for adults only (explicit sexual content) are not covered; filtering is best effort.
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  • Get detailed information about board games on BoardGameGeek (BGG) including description, mechanics, categories, player count, playtime, complexity, and ratings. Use this tool to deep dive into games found via other tools (e.g. after getting collection results or search results that only return basic info). Use 'name' for a single game lookup by name, 'id' for a single game lookup by BGG ID, or 'ids' to fetch multiple games at once (up to 20). Only provide one of these parameters.
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  • Register an immutable LeanSolver finding against the currently tracked goal contract. subjectRefs must be goal-scoped refs of kind goal, criterion, or assumption. Returns the server-generated finding id to pass later as addressesFindingId; rejects stale contract tracking.
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  • Re-crawl only the pages affected by one finding in a site's most recent completed crawl, then re-run that crawl's analysis and update its health score in place. Use after fixing an issue to verify the fix without paying for a full re-crawl. Name the finding with a selector rather than a URL list where possible: a summary row can cover far more pages than it lists. Requires a WRITE-scoped token and ADMIN or OWNER role, and consumes one crawl credit per page.
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  • Search the web for any topic and get clean, ready-to-use content. Best for: Finding current information, news, facts, people, companies, or answering questions about any topic. Returns: Clean text content from top search results. Query tips: describe the ideal page, not keywords. "blog post comparing React and Vue performance" not "React vs Vue". Use category:people / category:company to search through Linkedin profiles / companies respectively. If highlights are insufficient, follow up with web_fetch_exa on the best URLs.
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