mfukushim-map-traveler-mcp
UnexploredCreate immersive travel experiences by instructing an avatar to navigate Google Maps. Report on th…
Install
mcp_config.json
{
"mcpServers": {
"ai-smithery-mfukushim-map-traveler-mcp": {
"url": "https://server.smithery.ai/@mfukushim/map-traveler-mcp/mcp",
"type": "streamable-http"
}
}
}Documentation
Virtual Traveling bot environment for MCP
We are currently developing a next-generation traveling bot system. It will take some time to complete, but in the meantime, please enjoy using this MCP server, which operates in MCP v1 mode.
English / Japanese
This is an MCP server that creates an environment for an avatar to virtually travel on Google Maps.
From an MCP client such as Claude Desktop, you can give instructions to the avatar and report on the progress of its journey with photos.
Preparing for MCP Registry Support https://blog.modelcontextprotocol.io/posts/2025-09-08-mcp-registry-preview/
Added gemini-2.5-flash-image-preview (nano-banana) to travel image generation
Support for nano-banana has been added. Nano-banana's semantic mask allows you to generate composite travel images in a short time without setting remBg.
Although conventional image synthesis is still possible, we recommend using Gemini nano-banana.
Supports both Streamable-HTTP and stdio (compliant with Smithery.ai's config interface)
It can be used as a stdio-type MCP as before, or as Streamable-HTTP.
Although it supports multiple users, the database API must be specified per session using the Smithery.ai config interface.
Since it supports both Streamable-HTTP and stdio, it is expected to work as is with the previous MCP client, but if you use the previous stdio version, please use v0.0.x (v0.0.81).
npx -y @mfukushim/map-traveler-mcp@0.0.81
Now supports librechat https://www.librechat.ai/.
Now supports Smithery https://smithery.ai/server/@mfukushim/map-traveler-mcp (images are excluded because they are heavy to run).
Now verified MseeP https://mseep.ai/app/mfukushim-map-traveler-mcp
Functions
MCP server tools function
The following functions can be used as an MCP server. The available functions vary depending on the settings and execution state.
You can specify the function name directly, but Claude LLM will automatically recognize it, so you can specify the operation in general terms.
Example: "Where are you now?" "Let's leave for Tokyo Station."
- get_traveler_view_info(includePhoto:boolean,includeNearbyFacilities:boolean)
Gets information about the current travel avatar's location.- includePhoto: Gets nearby Google Street View photos. If you have set up an image generation AI, it will synthesize the avatar.
- includeNearbyFacilities: Gets information about nearby facilities.
- get_traveler_location()
Gets information about the current travel avatar's address and nearby facilities. - reach_a_percentage_of_destination() Reach a specified percentage of the destination (moveMode=skip only) timeElapsedPercentage: Percent progress towards destination(0~100)
- set_traveler_location(address: string)
Sets the current travel avatar's location.- address: Address information (exact address, or general name that Google Maps or Claude can recognize, etc.)
- get_traveler_destination_address
Get the destination of the travel avatar you set - set_traveler_destination_address(address: string)
Set the destination of the travel avatar- address: Address information (exact address, or general name that Google Maps or Claude can recognize, etc.)
- start_traveler_journey
Start the journey at the destination.(moveMode=realtime only) - stop_traveler_journey
Stop the journey.(moveMode=realtime only) - set_traveler_info(settings:string)
Set the traveler's attributes. Set the traveler's personality that you want to change dynamically, such as name and personality. However, if you use a role script, the script is more stable.- settings: Setting information such as name and personality.
- get_traveler_info
Get the traveler's attributes. Get the traveler's personality. - set_avatar_prompt(prompt:string)
Set the prompt when generating the travel avatar image. The default is an anime-style woman. The anime style is enforced to prevent fake images.- prompt
- reset_avatar_prompt
Reset avatar generation prompts to default. - get_sns_feeds
Gets Bluesky SNS articles for the specified custom feed (feeds containing a specific tag). - get_sns_mentions
Gets recent mentions (likes, replies) to Bluesky SNS posts that you made yourself. - post_sns_writer(message:string)
Posts an article to Bluesky SNS with the specified custom feed. Set a specific tag so that it can be determined that the post was generated by the travel bot.- message: article
- reply_sns_writer(message:string,id:string)
Reply to the article with the specified id. Set a specific tag so that it can be determined that the post was generated by the travel bot.- message: reply
- id: The ID of the post to reply to
- add_like(id:string)
Add a like to the specified post.- id: The ID of the post to like
- tips
Guides you on how to set up features that have not yet been set. - get_setting
Get environment and image settings.
MCP resources
Has five custom prompt samples. When you import a prompt with Claude Desktop, Claude will act as a traveler. The SNS-compatible version controls SNS input and output while having a travel conversation.
-
role.txt
Claude will act as a traveler. -
roleWithSns.txt
Claude will act as a traveler. It also controls reading and posting to SNS. -
carBattle.txt
This is a small novel game about a story of transporting secret documents from Yokohama to Tokyo. Scenes are automatically generated. Set moveMode=skip to play. -
japanMapChallenge.txt,japanMapChallenge2.txt
Two AIs communicate with each other via SNS and play a challenge game using landscape images.
To play, you need two Bluesky accounts and two Claude Desktops. Also set moveMode=skip. (However, the operation is somewhat unstable.)
japanMapChallenge2 has a challenge reflection rule.
Setting
You will need to obtain and set access keys for multiple APIs, such as for accessing multiple Google maps and generating images. Use of the API may incur charges.
Settings for using with Claude Desktop
- claude_desktop_config.json (stdio type)
{
"mcpServers": {
"traveler": {
"command": "npx",
"args": ["-y", "@mfukushim/map-traveler-mcp"],
"env":{
"MT_GOOGLE_MAP_KEY":"(Google Map API key)",
"MT_GEMINI_IMAGE_KEY": "(Gemini Image Api key)",
"MT_MAX_RETRY_GEMINI": "(Number of retries when generating Gemini images Default: 0)",
"MT_AVATAR_IMAGE_URI": "(Character reference image uri (file:// or https://) when generating Gemini image. Multiple settings can be made by separating them with the '|'. When multiple settings are made, they will be selected randomly.)",
"MT_MAP_API_URL": "(Optional: Map API custom endpoint. Example: direction=https://xxxx,places=https://yyyy )",
"MT_TIME_SCALE": "(Optional:Scale of travel time on real roads duration. default 4)",
"MT_SQLITE_PATH":"(db save path: e.g. %USERPROFILE%/Desktop/traveler.sqlite ,$HOME/traveler.sqlite )",
"MT_TURSO_URL":"(Turso sqlite API URL)",
"MT_TURSO_TOKEN":"(Turso sqlite API access token)",
"MT_REMBG_PATH": "(absolute path of the installed rembg cli)",
"MT_REMBG_URL": "(rembg API URL)",
"MT_REMBG_WO_KEY": "(withoutbg.com rembg API key)",
"MT_PIXAI_KEY":"(pixAi API key)",
"MT_SD_KEY":"(or Stability.ai image generation API key",
"MT_PIXAI_MODEL_ID": "(Optional: pixAi ModelId, if not set use default model 1648918127446573124 ",
"MT_COMFY_URL": "(Option: Generate image using ComfyUI API at specified URL. Example: http://192.168.1.100:8188)",
"MT_COMFY_WORKFLOW_T2I": "(Optional: Path to API workflow file when using text to image with ComfyUI. If not specified: assets/comfy/t2i_sample.json)",
"MT_COMFY_WORKFLOW_I2I": "(Optional: Path of API workflow file when image to image in ComfyUI. If not specified: assets/comfy/i2i_sample.json)",
"MT_COMFY_PARAMS": "(Optional: Variable values to send to the workflow via comfyUI API)",
"MT_FIXED_MODEL_PROMPT": "(Optional: Fixed avatar generation prompt. You will no longer be able to change your avatar during conversations.)",
"MT_BODY_AREA_RATIO": "(Optional: Acceptable avatar image area ratio. default 0.042)",
"MT_BODY_HW_RATIO": "(Optional: Acceptable avatar image aspect ratios. default 1.5~2.3)",
"MT_BODY_WINDOW_RATIO_W": "(Optional: Avatar composite window horizontal ratio. default 0.5)",
"MT_BODY_WINDOW_RATIO_H": "(Optional: Avatar composite window aspect ratio. default 0.75)",
"MT_BS_ID":"(Bluesky sns registration address)",
"MT_BS_PASS":"(bluesky sns password)",
"MT_BS_HANDLE":"(bluesky sns handle name: e.g. xxxxxxxx.bsky.social )",
"MT_FILTER_TOOLS": "(Optional: Directly filter the tools to be used. All are available if not specified. e.g. tips,set_traveler_location)",
"MT_MOVE_MODE": "(Option: Specify whether the movement mode is realtime or skip. default realtime)",
"MT_IMAGE_WIDTH": "(Option: Output image width (pixels) Default is 512)",
"MT_NO_IMAGE": "(Options: true = do not output image, not specified = output image if possible, default is not specified)",
"MT_NO_AVATAR": "(Option: true = Output StreetView image as is without avatar superimposition. Not specified = Superimpose avatar image. Default is not specified.)",
"MT_FEED_TAG": "(Optional: Specify the feed tag when posting to SNS (#required, 15 characters or more) Default is #geo_less_traveler)",
"MT_MAX_SESSIONS": "(Maximum number of sessions when using Streamable-http)",
"MT_SESSION_TTL_MS": "(Session TTL when using Streamable-http)",
"MT_SERVICE_TTL_MS": "(Service TTL when using Streamable-http)"
}
}
}
}
- claude_desktop_config.json (streamable-http type)
The above MT_ environment variables should be set as environment variables for the server that runs the map-traveler-mcp web service.
{
"mcpServers": {
"traveler": {
"type": "streamable-http",
"url": "https://(mcp server address)/mcp?config=(base64 config json)"
}
}
}
base64 config json (Smithery.ai Expansion)
By concatenating the json in the following format into a single line of string, converting it to base64, and setting it as (base64 setting json), you can overwrite different APIs and settings for each user session.
If the database is not set base64 config json, it will be shared across the entire service (the location of the traveler will be shared across the database and counted for one person).
We plan to reconsider the operation of assigning an individual UserId for each session once the MCP authentication mechanism has become a little clearer.
{
"MT_GOOGLE_MAP_KEY": "xxxyyyzzz",
"MT_GEMINI_IMAGE_KEY": "xxyyzz",
"MT_MAX_RETRY_GEMINI": "1",
"MT_AVATAR_IMAGE_URI": "file:///C:/Users/xxxx/Desktop/avatar.png",
"MT_TURSO_URL": "libsql://xxxyyyzzz",
"MT_TURSO_TOKEN": "abcdabcd",
"MT_BS_ID": "xyxyxyxyx",
"MT_BS_PASS": "1234xyz",
"MT_BS_HANDLE": "aabbccdd",
"MT_FILTER_TOOLS": "tips,set_traveler_location",
"MT_MOVE_MODE": "direct",
"MT_FEED_TAG": "#abcdefgabcdefgabcdefg"
}
(All json values can be omitted)
↓ (json text concatenation)
{"MT_GOOGLE_MAP_KEY": "xxxyyyzzz", "MT_GEMINI_IMAGE_KEY": "xxyyzz", "MT_MAX_RETRY_GEMINI": "1", "MT_TURSO_URL": "libsql://xxxyyyzzz", "MT_TURSO_TOKEN": "abcdabcd", "MT_BS_ID": "xyxyxyxyx", "MT_BS_PASS": "1234xyz", "MT_BS_HANDLE": "aabbccdd", "MT_FILTER_TOOLS": "tips,set_traveler_location", "MT_MOVE_MODE": "direct", "MT_FEED_TAG": "#abcdefgabcdefgabcdefg"}
↓ (Set the base64 version to config=)
eyJNVF9HT09HTEVfTUFQX0tFWSI6ICJ4eHh5eXl6enoiLCAiTVRfR0VNSU5JX0lNQUdFX0tFWSI6ICJ4eHl5enoiLCAiTVRfTUFYX1JFVFJZX0dFTUlOSSI6ICIxIiwgIk1UX1RVUlNPX1VSTCI6ICJsaWJzcWw6Ly94eHh5eXl6enoiLCAiTVRfVFVSU09fVE9LRU4iOiAiYWJjZGFiY2QiLCAiTVRfQlNfSUQiOiAieHl4eXh5eHl4IiwgIk1UX0JTX1BBU1MiOiAiMTIzNHh5eiIsICJNVF9CU19IQU5ETEUiOiAiYWFiYmNjZGQiLCAiTVRfRklMVEVSX1RPT0xTIjogInRpcHMsc2V0X3RyYXZlbGVyX2xvY2F0aW9uIiwgIk1UX01PVkVfTU9ERSI6ICJkaXJlY3QiLCAiTVRfRkVFRF9UQUciOiAiI2FiY2RlZmdhYmNkZWZnYWJjZGVmZyJ9
NOTE: The environment variables have been renamed to standard snake case. The MT_ prefix is added because they may be used in conjunction with other environment variables, such as in librechat. The old names can still be used for backward compatibility.
Please set the following three Credentials for Google Map API.
- Street View Static API
- Places API (New)
- Time Zone API
- Directions API
https://developers.google.com/maps/documentation/streetview/get-api-key
If you want to use the image generation AI, set either pixAi_key or sd_key. You also need to have python3.7~3.11 installed on your PC and rembg cli installed (virtual environment recommended).
https://platform.pixai.art/docs
https://platform.stability.ai/docs/api-reference#tag/SDXL-1.0-and-SD1.6/operation/textToImage
The bluesky SNS address/password are optional. It is recommended that you create a dedicated account as it will post automatically.
You can also run it in practice mode, which does not require an API key for verification.
Practice mode settings
claude_desktop_config.json
{
"mcpServers": {
"traveler": {
"command": "npx",
"args": ["-y", "@mfukushim/map-traveler-mcp"]
}
}
}
How to use
Use the practice mode
-
Install nodejs 22.
-
Set up Claude Desktop for use.
-
Reflect one of the above settings in claude_desktop_config.json.
-
Restart Claude Desktop. It may take some time to set up (if an error occurs, try restarting Claude Desktop again. If it doesn't work, see the notes below). Make sure the following mark appears in the bottom right of the screen.
-
Ask "Where are you now?" and "Go on a journey." A conversation will begin. When using the API, a confirmation screen will appear, so select Allow.
-
Select Attach from MCP and select role.txt.
-
A travel prompt has been built in, so feel free to talk to it.
Use the full feature
- Get a Google Map API access key and set the permissions for Street View Static API, Places API (New), Time Zone API, and Directions API. Set this in the env of claude_desktop_config.json and restart. At this point, the travel log will be based on the real map. Travel images will also be output if they are not superimposed.
- Decide on a path that will not interfere with the disk and set it in the sqlite_path of the env of claude_desktop_config.json. (Example: %USERPROFILE%/Desktop/traveler.sqlite $HOME/Documents/traveler.sqlite, etc.) At this point, your travel log will be saved and you can continue your journey even if you close Claude Desktop.
- Install python 3.7 to 3.11 and install rembg with cli. We recommend using a virtual environment such as venv.
python3 -m venv venv
. venv/bin/activate or .\venv\Scripts\activate
pip install "rembg[cpu,cli]"
Check if rembg cli works properly using a sample image file. Input an image with a person in it, and if the person is cut out in the output file, it's OK.
rembg i source_image_file dest_image_file
- rembg cli will be installed in the python exe location, so get the path. The file location varies depending on the OS and python installation status, but in the case of venv, it is (virtual environment name)\Scripts\rembg.exe or (virtual environment name)/bin/rembg above the directory you set. If you can't find it, search for the path with a file search software. Set that path to rembg_path of env in claude_desktop_config.json. (Example: "rembg_path": "C:\Users\xxxx\Documents\rembg_venv\venv\Scripts\rembg.exe")
- Get an image generation API key from the pixAI or Stability.ai site. Set the key to pixAi_key or sd_key in env of claude_desktop_config.json. The avatar will now be overlaid on the travel image.
- Get the bluesky SNS address/password and handle name. Set these in bs_id, bs_pass, and bs_handle in env of claude_desktop_config.json, respectively. Import the travel knowledge prompt roleWithSns.txt to report travel actions to SNS (it will automatically post as a bot, so we recommend allocating a dedicated account)
Instead of preparing rembg with the cli, we have added a setting that allows you to handle rembg as a service API.
If you configure the following rembg service, you can use rembg by setting the URL in remBgUrl.
https://github.com/danielgatis/rembg?tab=readme-ov-file#rembg-s
Setup is simple if you use the Docker version to launch a container and access it.
https://github.com/danielgatis/rembg?tab=readme-ov-file#usage-as-a-docker
Use Turso libsql API for configuration database
If you want to use the cloud API Turso libsql (https://turso.tech/libsql) without having a local sqlite file, sign up for Turso and allocate a sqlite database (paid, free tier available).
This add-in will automatically configure (migrate) the database.
MT_TURSO_URL = turso db URL
MT_TURSO_TOKEN = turso db access token
Use Cloud API for rembg
Local settings around rembg are complicated no matter what method you use, but we have added settings for the paid cloud rembg (https://withoutbg.com/).
Note: There is a small free trial available, but please be aware that this is a commercial API and is quite expensive (about 0.1 euros per image).
MT_REMBG_WO_KEY = withoutbg access token
When using external ComfyUI (for more advanced users)
You can also use a local ComfyUI as an image generation server. You can configure the image generation characteristics yourself in detail to reduce API costs.
However, the configuration will be quite complicated and image generation may take longer.
- Configure ComfyUI to run in API mode.
- Set the server URL to comfy_url in env.
- Set detailed configuration values such as the model to be used in env in the form of a json string. example.
{
"env": {
"comfy_url": "http://192.168.1.100:8188",
"comfy_workflow_t2i": "C:\\Documents\\t2itest.json",
"comfy_workflow_i2i":"C:\\Documents\\i2itest.json",
"comfy_params":"ckpt_name='animagineXL40_v40.safetensors',denoise=0.65"
}
}
- The default workflow can use assets/comfy/t2i_sample.json and assets/comfy/i2i_sample.json in the package. You can specify variables using % and specify the variables in comfy_params.
Using libreChat
It has been adapted to work with libreChat. This makes it easier to use, but some additional settings are required.
Also, it seems that it will not be stable unless the PC you use has a decent level of performance, such as one that can stably run Docker.
Install libreChat
Please make sure it works as described on the official website.
In this case, we recommend using Docker configuration due to additional settings.
https://www.librechat.ai/docs/local/docker
Configure librechat.yaml using the official procedure.
I think you will need to add a local or API LLM service.
https://www.librechat.ai/docs/configuration/librechat_yaml
Add a user for login.
https://www.librechat.ai/docs/configuration/authentication#create-user-script
Please set it so that you can
Sourced from the repository README.
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