MCP on My SAMP
MCP on My SAMP
Umfang: Lokale Server oder Server, die dir gehören bzw. von dir autorisiert sind. Kein Werkzeug für die Automatisierung öffentlicher Server.
Was kann es?
MCP on My SAMP ermöglicht es KI-Agenten, Spieleserver mit wiederholbaren Workflows zu testen:
open.mp starten / stoppen / Status prüfen;
Headless-RakClient starten / stoppen / Status prüfen;
warten, bis der Client tatsächlich
Spawnedist;erlaubte Slash-Befehle senden;
den Ausgabeverlauf des Clients lesen;
verifizieren, dass die Serverantwort beim Client angekommen ist;
Befehle aus dem Pawn-Quellcode des Gamemodes ermitteln;
Befehle außerhalb der Zulassungsliste ablehnen.
Es bietet kein Flooding, Spamming, Lag Injection, beliebiges RCON oder die Automatisierung öffentlicher Server.
Related MCP server: Brainstorm
Arbeitsablauf
flowchart LR
A[AI Agent] -->|MCP stdio| B[MCP on My SAMP]
B --> C[open.mp Server]
B --> D[Headless RakClient]
D -->|UDP localhost| C
C -->|server response| D
D --> B
B -->|assertion| AGültiger Roundtrip-Nachweis:
command dikirim
→ server callback menerima command
→ gamemode mengirim response
→ client menerima response
→ MCP assertion berhasilAllein Spawned ist kein Beweis dafür, dass der Befehl erfolgreich war.
Installation
1. Python einrichten
Python 3.10 oder neuer ist erforderlich.
2. Projekt installieren
Vom Repository-Stammverzeichnis ausführen:
Windows
py -3 -m venv .venv
.venv\Scripts\activate
python -m pip install --upgrade pip
python -m pip install ".[dev]"Linux / macOS
python3 -m venv .venv
source .venv/bin/activate
python -m pip install --upgrade pip
python -m pip install ".[dev]"3. Überprüfen
pytest -qErwartete Ausgabe:
35 passedDie open.mp- und RakClient-Binärdateien werden nur für Live-Tests benötigt. Die Python-Unit-Tests können auch ohne diese Binärdateien ausgeführt werden.
Konfiguration
Erstelle eine lokale Konfigurationsdatei aus der Vorlage:
Windows
copy config.example.json local-server.jsonLinux / macOS
cp config.example.json local-server.jsonInhalt der Datei:
{
"executable": "vendor/openmp/Server/omp-server.exe",
"working_dir": "vendor/openmp/Server",
"args": ["--config-path", "config.json"],
"ready_text": "Legacy Network started on port",
"startup_timeout": 30
}Passe executable und working_dir an den Speicherort von open.mp auf deinem Computer an. local-server.json ist nicht in Git eingecheckt, da die Pfade auf jedem Computer unterschiedlich sind.
MCP-Server ausführen
Nur Server
mcp-gta-samp --config local-server.jsonMit Headless-RakClient
Windows
mcp-gta-samp ^
--config local-server.json ^
--client-executable vendor/rakclient-bin/rakclient.exe ^
--client-arg --server ^
--client-arg 127.0.0.1:7777 ^
--client-arg --nick ^
--client-arg MCPBot ^
--client-arg --scripts-dir ^
--client-arg vendor/rakclient-bin/scripts ^
--gamemode-source vendor/openmp/Server/gamemodes/mcp_test.pwnLinux / macOS
mcp-gta-samp \
--config local-server.json \
--client-executable vendor/rakclient-bin/rakclient \
--client-arg --server \
--client-arg 127.0.0.1:7777 \
--client-arg --nick \
--client-arg MCPBot \
--client-arg --scripts-dir \
--client-arg vendor/rakclient-bin/scripts \
--gamemode-source vendor/openmp/Server/gamemodes/mcp_test.pwnDer MCP-Transport verwendet stdio.
MCP-Tools
Tool | Funktion |
| Startet den Server und wartet auf die Bereitschaft. |
| Prüft den Serverstatus und die PID. |
| Fährt den Server herunter. |
| Startet den Headless-RakClient. |
| Prüft den Clientstatus. |
| Fährt den Client herunter. |
| Sendet erlaubte Slash-Befehle nach |
| Ruft die gepufferte Client-Ausgabe ab. |
| Stellt sicher, dass eine bestimmte Ausgabe beim Client eintrifft. |
| Zeigt Befehle aus dem Pawn-Quellcode an. |
| Validiert Befehle anhand der Zulassungsliste. |
Die letzten beiden Tools sind verfügbar, wenn --gamemode-source verwendet wird.
Workflow für KI-Agenten
1. server_status
2. server_start jika belum berjalan
3. client_start
4. tunggu state Spawned
5. server_list_commands
6. server_assert_command("/help")
7. client_send_chat("/help")
8. client_assert_output("MCP Test Commands:")
9. client_get_history bila perlu diagnosis
10. client_stop
11. server_stopWichtige Anweisungen für den Agenten:
greife nicht auf öffentliche Server zu;
betrachte Booten, Beitreten oder
Spawnednicht als Befehls-Roundtrip;klassifiziere bei Fehlern die Grenze: Boot, Verbindung, Spawn, Warteschlange, ausgehendes Paket, Server-Callback, Serverantwort, Client-Parser oder MCP-Assertion;
beende die Prozesse nach dem Test immer;
stelle sicher, dass der UDP-Port
7777wieder frei ist.
Beispiel für einen Live-Test
Ein Test-Gamemode ist verfügbar unter:
vendor/openmp/Server/gamemodes/mcp_test.pwnVerfügbare Befehle:
/help
/statusWenn der Pawn-Quellcode geändert wird, kompiliere die .amx aus dem Serverordner neu:
qawno\pawncc.exe -i.\qawno\include -o.\gamemodes\mcp_test .\gamemodes\mcp_test.pwnLive-Workflow:
server_start
→ client_start
→ client mencapai Spawned
→ client_send_chat("/help")
→ client_assert_output("MCP Test Commands:")
→ client_assert_output("/status - show a test response")
→ client_stop
→ server_stopDer Headless-RakClient weist Protokoll, Zustand und Befehle nach. Er erzeugt keine Screenshots. Für visuelle Tests ist ein separater gerenderter GTA-Client erforderlich.
Entwicklung
Tests ausführen:
pytest -qWheel erstellen:
python -m pip wheel . --no-deps -w distWheel installieren:
python -m pip install dist/mcp_gta_samp-0.1.0-py3-none-any.whlKernstruktur:
mcp_gta_samp/ package Python dan MCP facade
tests/ unit, contract, dan bridge tests
config.example.json template konfigurasi
vendor/ binary dan fixture live testSicherheit
Dieses MCP beschränkt die Nutzung auf lokale/eigene Server. Gib keine Anmeldedaten, Proxy-Pools, privaten Konfigurationen, privaten Protokolle oder Testserverdaten in ein öffentliches Repository.
Wenn du den Server aus dem Internet erreichbar machst, füge selbst Authentifizierung und Netzwerkisolierung hinzu. Dieses Paket ist nicht als öffentliche Spielsteuerungs-API konzipiert.
Lizenz
MIT-Lizenz. Siehe LICENSE.
Links
Repository: marhenrik635-oss/mcponmysamp
Issues: Problem melden
Available Tools
3 toolsserver_startAIdempotent
Start the configured local open.mp test server and wait for readiness.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Output Schema
| Name | Required | Description |
|---|---|---|
No output parameters | ||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already cover idempotency (idempotentHint=true), read-only status (readOnlyHint=false), and destructiveness (destructiveHint=false). The description adds the 'wait for readiness' behavior, which is beyond what annotations provide, giving the agent a clear expectation of the tool's runtime behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no filler. Every word contributes meaning: 'start', 'configured local open.mp test server', and 'wait for readiness' are all necessary and sufficient.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
This is a simple tool with no parameters, an output schema, and annotations covering idempotency and safety. The description fully covers the intended action and readiness behavior, leaving no critical gaps for an agent to call it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has zero parameters, so there are no parameter semantics to document. Per the baseline for 0 params, a score of 4 is appropriate; the description doesn't need to compensate for schema gaps.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb ('Start') and resource ('configured local open.mp test server') and adds 'wait for readiness' as a behavioral outcome. This clearly distinguishes it from siblings server_stop and server_status through action and intent.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The start action and readiness wait make the context obvious: this is for bringing the server up. It does not explicitly name alternatives or when-not conditions, but the sibling names and the verb provide clear contextual guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
server_statusARead-only
Return local open.mp test server process status.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Output Schema
| Name | Required | Description |
|---|---|---|
No output parameters | ||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations already declare readOnlyHint=true and destructiveHint=false, so the safe read-only nature is covered. The description adds the 'local' and 'process status' scope, but does not provide additional behavioral detail such as what exactly the status output contains or whether it might throw errors if no server is running. With the output schema present, the agent can likely infer return structure, so the description adds minimal but acceptable value.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single, front-loaded sentence delivers the essential meaning with no filler. It names the resource and the type of operation without unnecessary elaboration.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a no-parameter, read-only status tool with an output schema present, the description is complete enough to guide correct invocation. There are no prerequisites, options, or alternatives that need clarifying beyond what the summary already provides.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There are zero parameters, so the description has no parameter meaning to add. The baseline for no-parameter tools is 4, and there is no relevant gap to compensate for.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Return') and a clear resource ('local open.mp test server process status'), making the tool's function immediately obvious. It also differentiates itself from siblings server_start and server_stop by describing a read-only status check rather than a state-changing operation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description clearly implies the tool is for checking status rather than starting or stopping the server, which are the sibling operations. It does not explicitly state 'use this when you need to check status and not start/stop', but the context and naming make the intended use clear.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
server_stopADestructive
Stop the configured local open.mp test server.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Output Schema
| Name | Required | Description |
|---|---|---|
No output parameters | ||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare destructiveHint=true and idempotentHint=false, but the description adds no behavioral context beyond the verb 'Stop'. It does not clarify consequences such as terminating active sessions or clearing server state. There is no contradiction with annotations, but the description relies entirely on structured metadata.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no filler. It names the action and the target directly, and every word earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter destructive action with annotations covering safety and an output schema present, the description is sufficient for basic invocation. It is slightly thin on operational context such as behavior when the server is already stopped, but that is not necessary for calling the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool accepts zero parameters and schema description coverage is 100%, so there are no parameter semantics to document. The baseline of 4 applies because the description cannot add meaning beyond the empty schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a precise action ('Stop') and the exact target ('configured local open.mp test server'). This clearly distinguishes it from sibling tools server_start and server_status, which have complementary purposes.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool versus server_start or server_status. The description only states the action and target, leaving the agent to infer usage from the tool name and siblings rather than from explicit instructions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
3 tool updates
v0.1.0- First observed
server_start - First observed
server_status - First observed
server_stop
TDQS
Scored across 3 tools
Each tool has a single, clear responsibility: start, stop, or check status. There is no overlap or ambiguity between them.
All tools follow the identical pattern of 'server_' followed by a simple verb (start, stop, status). This is perfectly consistent and predictable.
Three tools is exactly right for the narrow scope of managing a local server. Each tool is essential and earns its place without unnecessary bloat.
The tool set covers the core lifecycle (start, stop, status) but lacks a restart operation, which is a common need. However, agents can still accomplish restart via stop+start, so this is a minor gap.
Maintenance
Related MCP Connectors
Create guides as MCP servers to instruct coding agents to use your software (library, API, etc).
Official MCP server for Agentwork — delegate tasks to AI agents with human-in-the-loop
Hosted MCP server connecting claude.ai, ChatGPT and other AI apps to your own computer
Nifty's MCP server — exposes tasks, projects, messages, and files as tools for AI agents.
Related MCP Servers
- AlicenseAqualityDmaintenanceConnects AI agents to Minecraft servers via RCON to execute commands, monitor logs, and perform read-only SQLite database queries. It is specifically designed to facilitate AI-assisted plugin development, live debugging, and automated testing workflows.611MIT
- AlicenseNot gradedqualityFmaintenanceEnables AI agents to communicate, coordinate, and collaborate on complex tasks through a local MCP server.2 npm8ISC
- FlicenseNot gradedqualityCmaintenanceTurns your local machine into an MCP server with a GUI, allowing agents to execute file operations, run commands (including admin), manage background processes, and query databases, with optional ngrok exposure.-
- AlicenseAqualityBmaintenanceEnables AI agents to execute Lua code, inspect scripts, spy on remotes, and interact with a running Roblox game client through an MCP interface.722279 npm1MIT