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

mcp server

redm-mcp

RedM / RDR3 docs MCP server: native lookups, semantic search, VORP, RSGCore, oxmysql.

Description as published by the maintainer. Source

  • version 0.1.0
  • slowing
  • retrieval

slowing — Most recent push to the repository was 2026-05-02. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.

What this server can do

10 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.

asset_lookup(hash, name, type, limit, search)
Resolve a RedM game-data asset (ped model, weapon, object, door, vehicle) by exact name, 32-bit hash, or partial-name search. O(1) structured lookup against pre-parsed discoveries tables — replaces the common workflow of grepping `a_c_bear_01` in peds_list.lua, then cross-referencing RELATIONSHIP/README.md for its relationship group. Returns: type, name, normalized hash (`0x` + 8 uppercase hex), source file + line, plus type-specific metadata (peds get `variants` + `relationship`, weapons get `group`, doors get `coords` + `model_hash`, objects get `category`/`subcategory`). Catalog ~22,500 entries (mostly objects). Typical latency p50 ~15ms, p95 ~65ms. NOT for: - **Script natives** like `SET_ENTITY_COORDS`, `GetPedHealth`, or hashes from `Citizen.InvokeNative(0x...)` — use `lookup_native`. Native hashes are 64-bit (`0x06843DA7060A026B`); asset hashes are 32-bit (`0xBCFD0E7F`). Different namespaces, never collide. - **Flag enums, settings, clipsets, scenario keys** like `CPED_CONFIG_FLAGS`, `MP_Style_Casual`, `mech_loco_m@`, `MAGGIE_SEAT_CHAIR_DESK_WRITING`. Those live as tokens in lua source but not in this catalog. Use `grep_docs`. - **Behavior queries** ("which animal is the bear", "weapons in the lemat family") — use `semantic_search`. Pass exactly ONE of `name` / `hash` / `search`. Optional `type` narrows to a category (useful when a fragment like "horse" hits both peds and vehicles). Note: `type` reflects the SOURCE FILE — the same asset name can exist under multiple `type`s. e.g. `mp006_p_mshine_int_door01x` appears as `type=object` (1 row from object_list.lua) AND `type=door` (2 rows from doorhashes.lua, different door hashes for distinct in-world instances with `coords`). Pick `type=door` when you want lockable in-world doors with positions; `type=object` for the model itself. Examples: - `{name: "a_c_bear_01"}` → exact ped lookup, returns variants=11 + relationship=REL_WILD_ANIMAL_PREDATOR. - `{hash: "0xBCFD0E7F"}` → resolves to ped `a_c_bear_01` (omit `0x` ok). - `{search: "lemat", type: "weapon"}` → substring match → `weapon_revolver_lemat`. - `{search: "moonshine", type: "door"}` → exact substring misses (no door name contains "moonshine"), fuzzy trigram fallback fires → `mp006_p_mshine_int_door01x`. Fuzzy mainly fires when `type` narrows out the exact-substring matches; without `type`, common terms find substring hits first and never reach fuzzy.
browse(category, namespace)
Enumerate doc paths in a category/namespace. Use to discover what exists before calling `get_document` or a targeted `grep_docs`. NOT a content search — use `semantic_search` for behavior/concept lookups or `grep_docs` for token lookups. Returns `{path, title, chunks}[]`.
get_document(path, heading)
Fetch full markdown of a doc by `path` (as returned by `browse`, `semantic_search`, or `grep_docs`). Use to retrieve full content after a search snippet looks promising. Pass `heading` (full breadcrumb like `Character Management > Inventory Management`, or just the leaf — case-insensitive, fuzzy) to fetch only that section. Deep-heading matches auto-prepend the H2 parent's intro for context. For individual script natives prefer `lookup_native`. The largest rdr3_discoveries lua data tables are keyed catalogs: call with no `heading` to list their top-level keys, then pass a key as `heading` to fetch that one entry; use `grep_docs` to search values inside. For code symbols (`addItem`) use `grep_docs`. Community findings use `learning:N` paths, not `learnings/<slug>.md`. On 404 returns available headings + cross-file hints. Required: path.
get_invoke_guide(language)
Load the calling-convention reference for RedM/RDR3 natives in `js` or `lua`. Call ONCE per session before writing native-calling code — every native doc page only shows Lua examples, so JS/TS authors need this to translate correctly. Covers result modifiers (`Citizen.resultAsInteger/Float/String/Vector`), `Citizen.invokeNative` vs `invokeNativeByHash`, type mapping, pointer-arg gotchas, worked examples. Cheap, no embedding. Required: language.
grep_docs(limit, pattern, category, filesOnly, multiline, contextAfter, contextBefore, pathSubstring, prior_attempt, caseInsensitive)
Find an EXACT literal token in raw doc files (markdown + lua). Use for specific weapon/ped/animation/prop/interior/zone names (`weapon_pistol_volcanic`, `a_c_bear_01`, `p_campfire01x`), known hashes (`0x020D13FF`), walkstyles/clipsets (`MP_Style_Casual`, `mech_loco_m@`), or any string you'd `grep` for. NOT for behavior/concept queries (use `semantic_search`) or script-native hash/name lookup (use `lookup_native`). REQUIRED for tokens inside the largest rdr3_discoveries data tables (audio_banks, ingameanims_list, cloth_drawable, cloth_hash_names, object_list, megadictanims, entity_extensions, imaps_with_coords, propsets_list, vehicle_bones) — only preview-indexed for embeddings, so `semantic_search` will NOT find tokens in them. Optional: `contextBefore`/`contextAfter` for ±N surrounding lines (saves a follow-up `get_document` call); `filesOnly: true` to get paths only (cheap exploration); `multiline: true` for cross-line patterns (`(?s)foo.*bar`). Pattern uses Rust regex syntax (rg engine). PREFER one targeted call over giant `a|b|c|d|e` alternations — split into separate calls; alternations rarely improve recall and bloat the regex automaton. Returns matched lines with path + line number. Long matched lines are windowed ±60 chars around the match (…); to read around a hit, use `read_lines({path, start})` for the preview-only mega-tables listed above (get_document holds only their ~80-line head), or `get_document({path})` for ordinary docs. If you are retrying after a previous pattern returned no matches, populate `prior_attempt` so the server can record what didn't work and steer alternative spellings. Required: pattern.
list_namespaces(category)
Orient yourself: list available doc categories and their namespaces. Use once at session start (or when unsure) before applying a `category=` / `namespace=` filter to `browse` / `semantic_search`. NOT a content search. Categories: `natives` (PLAYER, ENTITY, VEHICLE, …), `vorp`, `rsgcore`, `oxmysql`, `discoveries` (AI, weapons, peds, animations, clothes, objects, …), `jo_libs` (menu, notification, callback, framework-bridge, …, dev_resources, redm_scripts), `guides`, `learnings`.
lookup_native(hash, name, limit, namespace)
Resolve a RedM/RDR3 SCRIPT native by hash or name — O(1), exact. Use whenever you see `Citizen.InvokeNative(0x...)`, `Citizen.invokeNative('0x...')`, `GetHashKey('NAME')`, or a SCREAMING_SNAKE_CASE native name (e.g. `SET_ENTITY_COORDS`, `GetPedHealth`) in Lua/JS/TS. NOT for game-data hashes (weapon/ped/animation names) — use `grep_docs`. Pass `hash` (0x… optional, case-insensitive) or `name` (exact first, ILIKE substring fallback). Returns name, hash, namespace, return type, params, description, full content, plus `findings[]` — community gotchas linked to that native. Inspect `findings[].id` and call `get_document({path: 'learning:<id>'})` for full body. Also returns `refDocs[]` — enum/flag value tables for that native (the constants to pass for params like flagId/attributeIndex/eventType). When `refDocs[].content` is set, it's the inline enum table — use those values directly. When `content` is null but `refDocs[].fetch` is present, the table was too large to inline — run that exact call (e.g. `get_document({ path: "refdoc:eEventType" })`) to get the full table; `refDocs[].preview` shows the first lines. github entries (no `fetch`) are url-only.
read_lines(end, path, start)
Read an exact line range from a raw doc file by absolute line number — the windowed-read companion to `grep_docs`. When `grep_docs` returns a hit at `path:line` inside a large file, call `read_lines({ path, start, end })` to pull the surrounding block. This is the ONLY way to read around a hit in the largest rdr3_discoveries data tables (audio_banks, ingameanims_list, ptfx, soundsets, imaps_with_coords, megadictanims, etc.): their full bodies are NOT in the vector/heading index (only an ~80-line preview is), so `semantic_search` can't reach them and `get_document` resolves real section headings only — NOT synthetic `lines N-M` offsets. `start`/`end` are 1-based and inclusive; omit `end` for a 50-line window; one call returns at most 400 lines (narrow the range for more). For prose `.md` docs prefer `get_document` with a `heading`; to search values use `grep_docs`; for individual script natives use `lookup_native`. Required: path, start.
semantic_search(mode, limit, query, category, namespace, prior_attempt, responseFormat)
Search RedM/RDR3 docs by behavior, concept, OR exact token. Use when you don't have a specific native hash/name (use `lookup_native`) and the term isn't a known asset name in a large data table (use `grep_docs`). Hybrid mode (default) handles 'how do I X' queries ('teleport player', 'spawn vehicle', 'inventory add item') AND tokens ('addItem', 'weapon_pistol_volcanic', 'CPED_CONFIG_FLAG_') — fused via RRF over vector + BM25. Returns ranked snippets (path, breadcrumb, heading, snippet, score). Call `get_document({path, heading})` for full chunk content. `mode=semantic` for pure vector; `mode=lexical` for pure BM25. Filter via `category=vorp|rsgcore|oxmysql|natives|discoveries|jo_libs|learnings` or `namespace`. Community findings merged by default; `category=learnings` returns only findings. If you are retrying after a previous call returned no useful results, populate `prior_attempt` so the server can surface alternative wordings and learn what's missing from the docs. Required: query.
share_finding(body, tags, title, source, category)
Share a verified finding back to the docs corpus so the next agent can find it. Use AFTER solving a non-trivial problem to record what would have saved you time: a gotcha, a working parameter combo, an undocumented constraint, a relationship between two natives that isn't obvious. Other agents will find this via `semantic_search` (findings are merged into default results; `category: 'learnings'` returns only findings). WHEN to use: - You burned multiple iterations on something not in the docs. - You discovered an undocumented quirk (param order, hash collision, framework export that isn't in `vorp`/`rsgcore`). - You verified that a specific combination works (e.g. native A + flag B for behavior C). WHEN NOT to use: - The information is already in the docs (verify with `semantic_search`/`grep_docs` first). - You're guessing — only contribute verified findings. - It's project-specific (your repo's auth flow, your DB schema). Keep it general to RedM/RDR3. Keep `title` short and searchable. `body` should explain WHY, not just WHAT — context, the trap, the fix. Required: title, body.

Last successful function declaration observed on . Source: https://redm-mcp.fivem.no/mcp. We list what the server declared; we do not call any of these functions.

Endpoint status observed on . Source: https://redm-mcp.fivem.no/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 2 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 2026-05-02 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 0 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 0.1.0 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-05-02 When the registry record was last updated by its maintainer. point in time Model Context Protocol
First listed in the MCP Registry 2026-05-02 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 tools declared 10 tools Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. as of probe redm-mcp.fivem.no
mcp endpoint status ok The server listed 10 functions when asked. as of probe redm-mcp.fivem.no

Where to get it

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These share tags the maintainers applied themselves, such as modelcontextprotocol. 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, cfx, claude, claude-code, cursor, game-dev-tools, llm-tools, lua, mcp, mcp-server, model-context-protocol, modelcontextprotocol, oxmysql, rdr2, rdr2-modding, rdr3, redm, rsgcore, vorp, vscode.

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. Cmoen11/redm-mcp-public on GitHub — GitHub, observed , trust tier 3.
  2. Tools declared by the MCP server at https://redm-mcp.fivem.no/mcp — redm-mcp.fivem.no, observed , trust tier 4.
  3. Official MCP Registry — Model Context Protocol, observed , trust tier 1.