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README.md

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- **[Unity3d Game Engine](https://github.com/CoderGamester/mcp-unity)** - An MCP server that enables LLMs to interact with Unity3d Game Engine, supporting access to a variety of the Unit's Editor engine tools (e.g. Console Logs, Test Runner logs, Editor functions, hierarchy state, etc) and executing them as MCP tools or gather them as resources.
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- **[Unity Integration (Advanced)](https://github.com/quazaai/UnityMCPIntegration)** - Advanced Unity3d Game Engine MCP which supports ,Execution of Any Editor Related Code Directly Inside of Unity, Fetch Logs, Get Editor State and Allow File Access of the Project making it much more useful in Script Editing or asset creation.
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- **[Vega-Lite](https://github.com/isaacwasserman/mcp-vegalite-server)** - Generate visualizations from fetched data using the VegaLite format and renderer.
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- **[Vertica](https://github.com/nolleh/mcp-vertica)** - Vertica database integration in Python with configurable access controls and schema inspection
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- **[Video Editor](https://github.com/burningion/video-editing-mcp)** - A Model Context Protocol Server to add, edit, and search videos with [Video Jungle](https://www.video-jungle.com/).
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- **[Video Still Capture](https://github.com/13rac1/videocapture-mcp)** - 📷 Capture video stills from an OpenCV-compatible webcam or other video source.
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- **[Virtual location (Google Street View,etc.)](https://github.com/mfukushim/map-traveler-mcp)** - Integrates Google Map, Google Street View, PixAI, Stability.ai, ComfyUI API and Bluesky to provide a virtual location simulation in LLM (written in Effect.ts)

src/fetch/README.md

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<summary>Using uvx</summary>
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```json
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"mcpServers": {
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"fetch": {
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"command": "uvx",
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"args": ["mcp-server-fetch"]
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{
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"mcpServers": {
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"fetch": {
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"command": "uvx",
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"args": ["mcp-server-fetch"]
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}
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}
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}
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```
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<summary>Using docker</summary>
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```json
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"mcpServers": {
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"fetch": {
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"command": "docker",
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"args": ["run", "-i", "--rm", "mcp/fetch"]
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{
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"mcpServers": {
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"fetch": {
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"command": "docker",
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"args": ["run", "-i", "--rm", "mcp/fetch"]
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}
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}
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}
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```
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<summary>Using pip installation</summary>
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```json
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"mcpServers": {
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"fetch": {
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"command": "python",
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"args": ["-m", "mcp_server_fetch"]
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{
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"mcpServers": {
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"fetch": {
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"command": "python",
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"args": ["-m", "mcp_server_fetch"]
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}
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}
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}
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```

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